gotch/tensor/tensor-generated.go

package tensor

// NOTE. THIS FILE IS AUTOMATICALLY GENERATED, DO NOT EDIT BY HAND!

// #include "stdlib.h"
import "C"

import (
	"unsafe"

	"github.com/sugarme/gotch"
	lib "github.com/sugarme/gotch/libtch"
)

func (ts *Tensor) __And_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__And_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __And1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__And1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Iand_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Iand_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Iand1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Iand1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Ilshift_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Ilshift_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Ilshift1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Ilshift1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Ior_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Ior_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Ior1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Ior1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Irshift_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Irshift_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Irshift1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Irshift1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Ixor_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Ixor_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Ixor1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Ixor1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Lshift_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Lshift_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Lshift1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Lshift1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Or_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Or_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Or1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Or1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Rshift_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Rshift_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Rshift1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Rshift1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Xor_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Xor_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) __Xor1(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg__Xor1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _AdaptiveAvgPool2d(outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AdaptiveAvgPool2d(ptr, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _AdaptiveAvgPool2dBackward(gradOutput *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AdaptiveAvgPool2dBackward(ptr, gradOutput.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _AddBatchDim(batchDim int64, level int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AddBatchDim(ptr, ts.ctensor, batchDim, level)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _AddRelu(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AddRelu(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _AddRelu_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AddRelu_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _AddReluOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AddReluOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _AddmvImpl_(self2 *Tensor, mat *Tensor, vec *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AddmvImpl_(ptr, ts.ctensor, self2.ctensor, mat.ctensor, vec.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func _AmpUpdateScale(growthTracker *Tensor, currentScale *Tensor, foundInf *Tensor, scaleGrowthFactor float64, scaleBackoffFactor float64, growthInterval int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_AmpUpdateScale(ptr, growthTracker.ctensor, currentScale.ctensor, foundInf.ctensor, scaleGrowthFactor, scaleBackoffFactor, growthInterval)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _BaddbmmMkl_(batch1 *Tensor, batch2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_BaddbmmMkl_(ptr, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _Bmm(mat2 *Tensor, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.Atg_Bmm(ptr, ts.ctensor, mat2.ctensor, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _BmmOut(out *Tensor, mat2 *Tensor, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.Atg_BmmOut(ptr, out.ctensor, ts.ctensor, mat2.ctensor, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastByte(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastByte(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastChar(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastChar(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastDouble(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastDouble(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastFloat(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastFloat(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastHalf(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastHalf(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastInt(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastInt(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastLong(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastLong(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CastShort(nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CastShort(ptr, ts.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _Cat(tensors []Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.Atg_Cat(ptr, ctensors, len(ctensors), dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _CatOut(out *Tensor, tensors []Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.Atg_CatOut(ptr, out.ctensor, ctensors, len(ctensors), dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _CdistBackward(grad *Tensor, x1 *Tensor, x2 *Tensor, p float64, cdist *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_CdistBackward(ptr, grad.ctensor, x1.ctensor, x2.ctensor, p, cdist.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CholeskyHelper(upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.Atg_CholeskyHelper(ptr, ts.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CholeskySolveHelper(a *Tensor, upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.Atg_CholeskySolveHelper(ptr, ts.ctensor, a.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Coalesced_(coalesced bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ccoalesced := int32(0)
	if coalesced {
		ccoalesced = int32(1)
	}
	lib.Atg_Coalesced_(ptr, ts.ctensor, ccoalesced)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func _ComputeLinearCombination(input *Tensor, coefficients *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_ComputeLinearCombination(ptr, input.ctensor, coefficients.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _ComputeLinearCombinationOut(out *Tensor, input *Tensor, coefficients *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_ComputeLinearCombinationOut(ptr, out.ctensor, input.ctensor, coefficients.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Conj(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Conj(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _Convolution(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, transposed bool, outputPadding []int64, groups int64, benchmark bool, deterministic bool, cudnnEnabled bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctransposed := int32(0)
	if transposed {
		ctransposed = int32(1)
	}
	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	ccudnnEnabled := int32(0)
	if cudnnEnabled {
		ccudnnEnabled = int32(1)
	}
	lib.Atg_Convolution(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), ctransposed, outputPadding, len(outputPadding), groups, cbenchmark, cdeterministic, ccudnnEnabled)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _Convolution1(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, transposed bool, outputPadding []int64, groups int64, benchmark bool, deterministic bool, cudnnEnabled bool, allowTf32 bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctransposed := int32(0)
	if transposed {
		ctransposed = int32(1)
	}
	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	ccudnnEnabled := int32(0)
	if cudnnEnabled {
		ccudnnEnabled = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.Atg_Convolution1(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), ctransposed, outputPadding, len(outputPadding), groups, cbenchmark, cdeterministic, ccudnnEnabled, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _ConvolutionNogroup(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, transposed bool, outputPadding []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctransposed := int32(0)
	if transposed {
		ctransposed = int32(1)
	}
	lib.Atg_ConvolutionNogroup(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), ctransposed, outputPadding, len(outputPadding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CopyFrom(dst *Tensor, nonBlocking bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.Atg_CopyFrom(ptr, ts.ctensor, dst.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _CtcLossBackward(grad *Tensor, logProbs *Tensor, targets *Tensor, inputLengths []int64, targetLengths []int64, negLogLikelihood *Tensor, logAlpha *Tensor, blank int64, zeroInfinity bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	czeroInfinity := int32(0)
	if zeroInfinity {
		czeroInfinity = int32(1)
	}
	lib.Atg_CtcLossBackward(ptr, grad.ctensor, logProbs.ctensor, targets.ctensor, inputLengths, len(inputLengths), targetLengths, len(targetLengths), negLogLikelihood.ctensor, logAlpha.ctensor, blank, czeroInfinity)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _CudnnInitDropoutState(dropout float64, train bool, dropoutSeed int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.Atg_CudnnInitDropoutState(ptr, dropout, ctrain, dropoutSeed, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _CudnnRnnFlattenWeight(weightArr []Tensor, weightStride0 int64, inputSize int64, mode int64, hiddenSize int64, numLayers int64, batchFirst bool, bidirectional bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cweightArr []lib.Ctensor
	for _, t := range weightArr {
		cweightArr = append(cweightArr, t.ctensor)
	}
	cbatchFirst := int32(0)
	if batchFirst {
		cbatchFirst = int32(1)
	}
	cbidirectional := int32(0)
	if bidirectional {
		cbidirectional = int32(1)
	}
	lib.Atg_CudnnRnnFlattenWeight(ptr, cweightArr, len(cweightArr), weightStride0, inputSize, mode, hiddenSize, numLayers, cbatchFirst, cbidirectional)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Cumprod(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Cumprod(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CumprodOut(out *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_CumprodOut(ptr, out.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Cumsum(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Cumsum(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _CumsumOut(out *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_CumsumOut(ptr, out.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _DimArange(like *Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_DimArange(ptr, like.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _DirichletGrad(x *Tensor, alpha *Tensor, total *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_DirichletGrad(ptr, x.ctensor, alpha.ctensor, total.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EmbeddingBagBackward(grad *Tensor, indices *Tensor, offsets *Tensor, offset2bag *Tensor, bagSize *Tensor, maximumIndices *Tensor, numWeights int64, scaleGradByFreq bool, mode int64, sparse bool, perSampleWeights *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	csparse := int32(0)
	if sparse {
		csparse = int32(1)
	}
	lib.Atg_EmbeddingBagBackward(ptr, grad.ctensor, indices.ctensor, offsets.ctensor, offset2bag.ctensor, bagSize.ctensor, maximumIndices.ctensor, numWeights, cscaleGradByFreq, mode, csparse, perSampleWeights.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EmbeddingBagDenseBackward(grad *Tensor, indices *Tensor, offsets *Tensor, offset2bag *Tensor, bagSize *Tensor, maximumIndices *Tensor, numWeights int64, scaleGradByFreq bool, mode int64, perSampleWeights *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	lib.Atg_EmbeddingBagDenseBackward(ptr, grad.ctensor, indices.ctensor, offsets.ctensor, offset2bag.ctensor, bagSize.ctensor, maximumIndices.ctensor, numWeights, cscaleGradByFreq, mode, perSampleWeights.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EmbeddingBagPerSampleWeightsBackward(grad *Tensor, weight *Tensor, indices *Tensor, offsets *Tensor, offset2bag *Tensor, mode int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_EmbeddingBagPerSampleWeightsBackward(ptr, grad.ctensor, weight.ctensor, indices.ctensor, offsets.ctensor, offset2bag.ctensor, mode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EmbeddingBagSparseBackward(grad *Tensor, indices *Tensor, offsets *Tensor, offset2bag *Tensor, bagSize *Tensor, numWeights int64, scaleGradByFreq bool, mode int64, perSampleWeights *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	lib.Atg_EmbeddingBagSparseBackward(ptr, grad.ctensor, indices.ctensor, offsets.ctensor, offset2bag.ctensor, bagSize.ctensor, numWeights, cscaleGradByFreq, mode, perSampleWeights.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EmptyAffineQuantized(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device, scale float64, zeroPoint int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_EmptyAffineQuantized(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt(), scale, zeroPoint)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EmptyPerChannelAffineQuantized(size []int64, scales *Tensor, zeroPoints *Tensor, axis int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_EmptyPerChannelAffineQuantized(ptr, size, len(size), scales.ctensor, zeroPoints.ctensor, axis, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _EuclideanDist(x1 *Tensor, x2 *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_EuclideanDist(ptr, x1.ctensor, x2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _FakeQuantizeLearnablePerChannelAffine(scale *Tensor, zeroPoint *Tensor, axis int64, quantMin int64, quantMax int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_FakeQuantizeLearnablePerChannelAffine(ptr, ts.ctensor, scale.ctensor, zeroPoint.ctensor, axis, quantMin, quantMax)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _FakeQuantizeLearnablePerTensorAffine(scale *Tensor, zeroPoint *Tensor, quantMin int64, quantMax int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_FakeQuantizeLearnablePerTensorAffine(ptr, ts.ctensor, scale.ctensor, zeroPoint.ctensor, quantMin, quantMax)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _FftWithSize(signalNdim int64, complexInput bool, complexOutput bool, inverse bool, checkedSignalSizes []int64, normalized bool, onesided bool, outputSizes []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ccomplexInput := int32(0)
	if complexInput {
		ccomplexInput = int32(1)
	}
	ccomplexOutput := int32(0)
	if complexOutput {
		ccomplexOutput = int32(1)
	}
	cinverse := int32(0)
	if inverse {
		cinverse = int32(1)
	}
	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	conesided := int32(0)
	if onesided {
		conesided = int32(1)
	}
	lib.Atg_FftWithSize(ptr, ts.ctensor, signalNdim, ccomplexInput, ccomplexOutput, cinverse, checkedSignalSizes, len(checkedSignalSizes), cnormalized, conesided, outputSizes, len(outputSizes))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _FftWithSize1(signalNdim int64, complexInput bool, complexOutput bool, inverse bool, checkedSignalSizes []int64, normalization int64, onesided bool, outputSizes []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ccomplexInput := int32(0)
	if complexInput {
		ccomplexInput = int32(1)
	}
	ccomplexOutput := int32(0)
	if complexOutput {
		ccomplexOutput = int32(1)
	}
	cinverse := int32(0)
	if inverse {
		cinverse = int32(1)
	}
	conesided := int32(0)
	if onesided {
		conesided = int32(1)
	}
	lib.Atg_FftWithSize1(ptr, ts.ctensor, signalNdim, ccomplexInput, ccomplexOutput, cinverse, checkedSignalSizes, len(checkedSignalSizes), normalization, conesided, outputSizes, len(outputSizes))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _GatherSparseBackward(dim int64, index *Tensor, grad *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_GatherSparseBackward(ptr, ts.ctensor, dim, index.ctensor, grad.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _GridSampler2dCpuFallback(input *Tensor, grid *Tensor, interpolationMode int64, paddingMode int64, alignCorners bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	lib.Atg_GridSampler2dCpuFallback(ptr, input.ctensor, grid.ctensor, interpolationMode, paddingMode, calignCorners)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _IndexCopy_(dim int64, index *Tensor, source *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_IndexCopy_(ptr, ts.ctensor, dim, index.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _IndexPutImpl_(indices []Tensor, values *Tensor, accumulate bool, unsafety bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cindices []lib.Ctensor
	for _, t := range indices {
		cindices = append(cindices, t.ctensor)
	}
	caccumulate := int32(0)
	if accumulate {
		caccumulate = int32(1)
	}
	cunsafety := int32(0)
	if unsafety {
		cunsafety = int32(1)
	}
	lib.Atg_IndexPutImpl_(ptr, ts.ctensor, cindices, len(cindices), values.ctensor, caccumulate, cunsafety)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _Indices(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Indices(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _InverseHelper(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_InverseHelper(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _LogSoftmax(dim int64, halfToFloat bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	chalfToFloat := int32(0)
	if halfToFloat {
		chalfToFloat = int32(1)
	}
	lib.Atg_LogSoftmax(ptr, ts.ctensor, dim, chalfToFloat)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _LogSoftmaxBackwardData(gradOutput *Tensor, output *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_LogSoftmaxBackwardData(ptr, gradOutput.ctensor, output.ctensor, dim, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Logcumsumexp(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Logcumsumexp(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _LogcumsumexpOut(out *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_LogcumsumexpOut(ptr, out.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _LuSolveHelper(lUData *Tensor, lUPivots *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_LuSolveHelper(ptr, ts.ctensor, lUData.ctensor, lUPivots.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _MakePerChannelQuantizedTensor(scale *Tensor, zeroPoint *Tensor, axis int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MakePerChannelQuantizedTensor(ptr, ts.ctensor, scale.ctensor, zeroPoint.ctensor, axis)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _MakePerTensorQuantizedTensor(scale float64, zeroPoint int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MakePerTensorQuantizedTensor(ptr, ts.ctensor, scale, zeroPoint)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _MaskedScale(mask *Tensor, scale float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MaskedScale(ptr, ts.ctensor, mask.ctensor, scale)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _MkldnnReshape(shape []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MkldnnReshape(ptr, ts.ctensor, shape, len(shape))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _MkldnnTranspose(dim0 int64, dim1 int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MkldnnTranspose(ptr, ts.ctensor, dim0, dim1)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _MkldnnTranspose_(dim0 int64, dim1 int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MkldnnTranspose_(ptr, ts.ctensor, dim0, dim1)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func _MultinomialAliasDraw(j *Tensor, q *Tensor, numSamples int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_MultinomialAliasDraw(ptr, j.ctensor, q.ctensor, numSamples)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _NnpackSpatialConvolution(input *Tensor, weight *Tensor, bias *Tensor, padding []int64, stride []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_NnpackSpatialConvolution(ptr, input.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _NnpackSpatialConvolutionBackwardInput(input *Tensor, gradOutput *Tensor, weight *Tensor, padding []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_NnpackSpatialConvolutionBackwardInput(ptr, input.ctensor, gradOutput.ctensor, weight.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _NnpackSpatialConvolutionBackwardWeight(input *Tensor, weightsize []int64, gradOutput *Tensor, padding []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_NnpackSpatialConvolutionBackwardWeight(ptr, input.ctensor, weightsize, len(weightsize), gradOutput.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _PackPaddedSequenceBackward(grad *Tensor, inputSize []int64, batchSizes *Tensor, batchFirst bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbatchFirst := int32(0)
	if batchFirst {
		cbatchFirst = int32(1)
	}
	lib.Atg_PackPaddedSequenceBackward(ptr, grad.ctensor, inputSize, len(inputSize), batchSizes.ctensor, cbatchFirst)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _PdistBackward(grad *Tensor, p float64, pdist *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_PdistBackward(ptr, grad.ctensor, ts.ctensor, p, pdist.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _RemoveBatchDim(level int64, batchSize int64, outDim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_RemoveBatchDim(ptr, ts.ctensor, level, batchSize, outDim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _ReshapeFromTensor(shape *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_ReshapeFromTensor(ptr, ts.ctensor, shape.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SWhere(condition *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SWhere(ptr, condition.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SampleDirichlet(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SampleDirichlet(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _SaturateWeightToFp16(weight *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SaturateWeightToFp16(ptr, weight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _ShapeAsTensor(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_ShapeAsTensor(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SobolEngineFf_(n int64, sobolstate *Tensor, dimension int64, numGenerated int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SobolEngineFf_(ptr, ts.ctensor, n, sobolstate.ctensor, dimension, numGenerated)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _SobolEngineInitializeState_(dimension int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SobolEngineInitializeState_(ptr, ts.ctensor, dimension)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _SobolEngineScramble_(ltm *Tensor, dimension int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SobolEngineScramble_(ptr, ts.ctensor, ltm.ctensor, dimension)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) _Softmax(dim int64, halfToFloat bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	chalfToFloat := int32(0)
	if halfToFloat {
		chalfToFloat = int32(1)
	}
	lib.Atg_Softmax(ptr, ts.ctensor, dim, chalfToFloat)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SoftmaxBackwardData(gradOutput *Tensor, output *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SoftmaxBackwardData(ptr, gradOutput.ctensor, output.ctensor, dim, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseAddmm(sparse *Tensor, dense *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseAddmm(ptr, ts.ctensor, sparse.ctensor, dense.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _SparseCooTensorUnsafe(indices *Tensor, values *Tensor, size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseCooTensorUnsafe(ptr, indices.ctensor, values.ctensor, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _SparseCooTensorWithDims(sparseDim int64, denseDim int64, size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseCooTensorWithDims(ptr, sparseDim, denseDim, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _SparseCooTensorWithDimsAndTensors(sparseDim int64, denseDim int64, size []int64, indices *Tensor, values *Tensor, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseCooTensorWithDimsAndTensors(ptr, sparseDim, denseDim, size, len(size), indices.ctensor, values.ctensor, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseLogSoftmax(dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseLogSoftmax(ptr, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseLogSoftmax1(dim int64, halfToFloat bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	chalfToFloat := int32(0)
	if halfToFloat {
		chalfToFloat = int32(1)
	}
	lib.Atg_SparseLogSoftmax1(ptr, ts.ctensor, dim, chalfToFloat)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseLogSoftmaxBackwardData(gradOutput *Tensor, output *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseLogSoftmaxBackwardData(ptr, gradOutput.ctensor, output.ctensor, dim, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _SparseMm(sparse *Tensor, dense *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseMm(ptr, sparse.ctensor, dense.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSoftmax(dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSoftmax(ptr, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSoftmax1(dim int64, halfToFloat bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	chalfToFloat := int32(0)
	if halfToFloat {
		chalfToFloat = int32(1)
	}
	lib.Atg_SparseSoftmax1(ptr, ts.ctensor, dim, chalfToFloat)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSoftmaxBackwardData(gradOutput *Tensor, output *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSoftmaxBackwardData(ptr, gradOutput.ctensor, output.ctensor, dim, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSum(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSum(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSum1(dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSum1(ptr, ts.ctensor, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSum2(dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSum2(ptr, ts.ctensor, dim, len(dim))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSum3(dim []int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSum3(ptr, ts.ctensor, dim, len(dim), dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _SparseSumBackward(grad *Tensor, dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_SparseSumBackward(ptr, grad.ctensor, ts.ctensor, dim, len(dim))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _StandardGamma(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_StandardGamma(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _StandardGammaGrad(output *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_StandardGammaGrad(ptr, ts.ctensor, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Std(unbiased bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	lib.Atg_Std(ptr, ts.ctensor, cunbiased)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _TestOptionalFilledIntlist(values *Tensor, addends []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_TestOptionalFilledIntlist(ptr, values.ctensor, addends, len(addends))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _TestOptionalIntlist(values *Tensor, addends []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_TestOptionalIntlist(ptr, values.ctensor, addends, len(addends))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _TestSerializationSubcmul(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_TestSerializationSubcmul(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _Trilinear(i1 *Tensor, i2 *Tensor, i3 *Tensor, expand1 []int64, expand2 []int64, expand3 []int64, sumdim []int64, unrollDim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Trilinear(ptr, i1.ctensor, i2.ctensor, i3.ctensor, expand1, len(expand1), expand2, len(expand2), expand3, len(expand3), sumdim, len(sumdim), unrollDim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _UnsafeView(size []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_UnsafeView(ptr, ts.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Values(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_Values(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) _Var(unbiased bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	lib.Atg_Var(ptr, ts.ctensor, cunbiased)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func _WeightNorm(v *Tensor, g *Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.Atg_WeightNorm(ptr, v.ctensor, g.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Abs(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAbs(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Abs_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAbs_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AbsOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAbsOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Absolute(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAbsolute(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Absolute_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAbsolute_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AbsoluteOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAbsoluteOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Acos(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAcos(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Acos_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAcos_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AcosOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAcosOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Acosh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAcosh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Acosh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAcosh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AcoshOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAcoshOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool1d(outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool1d(ptr, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool2d(outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool2d(ptr, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool2dOut(out *Tensor, outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool2dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool3d(outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool3d(ptr, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool3dBackward(gradOutput *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool3dBackward(ptr, gradOutput.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveAvgPool3dOut(out *Tensor, outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveAvgPool3dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveMaxPool2dBackward(gradOutput *Tensor, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveMaxPool2dBackward(ptr, gradOutput.ctensor, ts.ctensor, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveMaxPool2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveMaxPool2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveMaxPool3dBackward(gradOutput *Tensor, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveMaxPool3dBackward(ptr, gradOutput.ctensor, ts.ctensor, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AdaptiveMaxPool3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdaptiveMaxPool3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Add(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdd(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Add1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdd1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Add_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdd_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Add1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAdd1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addbmm(batch1 *Tensor, batch2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddbmm(ptr, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addbmm_(batch1 *Tensor, batch2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddbmm_(ptr, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddbmmOut(out *Tensor, batch1 *Tensor, batch2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddbmmOut(ptr, out.ctensor, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addcdiv(tensor1 *Tensor, tensor2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddcdiv(ptr, ts.ctensor, tensor1.ctensor, tensor2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addcdiv_(tensor1 *Tensor, tensor2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddcdiv_(ptr, ts.ctensor, tensor1.ctensor, tensor2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddcdivOut(out *Tensor, tensor1 *Tensor, tensor2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddcdivOut(ptr, out.ctensor, ts.ctensor, tensor1.ctensor, tensor2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addcmul(tensor1 *Tensor, tensor2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddcmul(ptr, ts.ctensor, tensor1.ctensor, tensor2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addcmul_(tensor1 *Tensor, tensor2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddcmul_(ptr, ts.ctensor, tensor1.ctensor, tensor2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddcmulOut(out *Tensor, tensor1 *Tensor, tensor2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddcmulOut(ptr, out.ctensor, ts.ctensor, tensor1.ctensor, tensor2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addmm(mat1 *Tensor, mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddmm(ptr, ts.ctensor, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addmm_(mat1 *Tensor, mat2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddmm_(ptr, ts.ctensor, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddmmOut(out *Tensor, mat1 *Tensor, mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddmmOut(ptr, out.ctensor, ts.ctensor, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addmv(mat *Tensor, vec *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddmv(ptr, ts.ctensor, mat.ctensor, vec.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addmv_(mat *Tensor, vec *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddmv_(ptr, ts.ctensor, mat.ctensor, vec.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddmvOut(out *Tensor, mat *Tensor, vec *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddmvOut(ptr, out.ctensor, ts.ctensor, mat.ctensor, vec.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addr(vec1 *Tensor, vec2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddr(ptr, ts.ctensor, vec1.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Addr_(vec1 *Tensor, vec2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddr_(ptr, ts.ctensor, vec1.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AddrOut(out *Tensor, vec1 *Tensor, vec2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAddrOut(ptr, out.ctensor, ts.ctensor, vec1.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func AffineGridGenerator(theta *Tensor, size []int64, alignCorners bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	lib.AtgAffineGridGenerator(ptr, theta.ctensor, size, len(size), calignCorners)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func AffineGridGeneratorBackward(grad *Tensor, size []int64, alignCorners bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	lib.AtgAffineGridGeneratorBackward(ptr, grad.ctensor, size, len(size), calignCorners)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Alias(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAlias(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AlignAs(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAlignAs(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) All(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAll(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) All1(dim int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAll1(ptr, ts.ctensor, dim, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AllOut(out *Tensor, dim int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAllOut(ptr, out.ctensor, ts.ctensor, dim, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func AlphaDropout(input *Tensor, p float64, train bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgAlphaDropout(ptr, input.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AlphaDropout_(p float64, train bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgAlphaDropout_(ptr, ts.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Amax(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAmax(ptr, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AmaxOut(out *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAmaxOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Amin(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAmin(ptr, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AminOut(out *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAminOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Angle(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAngle(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AngleOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAngleOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Any(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAny(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Any1(dim int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAny1(ptr, ts.ctensor, dim, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AnyOut(out *Tensor, dim int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgAnyOut(ptr, out.ctensor, ts.ctensor, dim, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Arange(end *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArange(ptr, end.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Arange1(start *Scalar, end *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArange1(ptr, start.cscalar, end.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Arange2(start *Scalar, end *Scalar, step *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArange2(ptr, start.cscalar, end.cscalar, step.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ArangeOut(out *Tensor, end *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArangeOut(ptr, out.ctensor, end.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ArangeOut1(out *Tensor, start *Scalar, end *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArangeOut1(ptr, out.ctensor, start.cscalar, end.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arccos(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArccos(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arccos_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArccos_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ArccosOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArccosOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arccosh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArccosh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arccosh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArccosh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ArccoshOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArccoshOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arcsin(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArcsin(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arcsin_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArcsin_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ArcsinOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArcsinOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arcsinh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArcsinh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arcsinh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArcsinh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ArcsinhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArcsinhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arctan(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArctan(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arctan_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArctan_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ArctanOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArctanOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arctanh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArctanh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Arctanh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArctanh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ArctanhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgArctanhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Argmax(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgArgmax(ptr, ts.ctensor, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Argmin(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgArgmin(ptr, ts.ctensor, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Argsort(dim int64, descending bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cdescending := int32(0)
	if descending {
		cdescending = int32(1)
	}
	lib.AtgArgsort(ptr, ts.ctensor, dim, cdescending)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AsStrided(size []int64, stride []int64, storageOffset []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cstorageOffsetVal int64 = 0
	var cstorageOffsetNull int = 1
	if len(storageOffset) > 0 {
		cstorageOffsetVal = storageOffset[0]
		cstorageOffsetNull = 0
	}
	lib.AtgAsStrided(ptr, ts.ctensor, size, len(size), stride, len(stride), cstorageOffsetVal, cstorageOffsetNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AsStrided_(size []int64, stride []int64, storageOffset []int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cstorageOffsetVal int64 = 0
	var cstorageOffsetNull int = 1
	if len(storageOffset) > 0 {
		cstorageOffsetVal = storageOffset[0]
		cstorageOffsetNull = 0
	}
	lib.AtgAsStrided_(ptr, ts.ctensor, size, len(size), stride, len(stride), cstorageOffsetVal, cstorageOffsetNull)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Asin(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAsin(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Asin_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAsin_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AsinOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAsinOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Asinh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAsinh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Asinh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAsinh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AsinhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAsinhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atan(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtan(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atan2(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtan2(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atan2_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtan2_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Atan2Out(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtan2Out(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atan_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtan_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AtanOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtanOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atanh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtanh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atanh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtanh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) AtanhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtanhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atleast1d(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtleast1d(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atleast2d(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtleast2d(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Atleast3d(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgAtleast3d(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool1d(kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	lib.AtgAvgPool1d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool2d(kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool2d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool2dBackward(gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool2dBackward(ptr, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool2dOut(out *Tensor, kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool2dOut(ptr, out.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool3d(kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool3d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool3dBackward(gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool3dBackward(ptr, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) AvgPool3dOut(out *Tensor, kernelSize []int64, stride []int64, padding []int64, ceilMode bool, countIncludePad bool, divisorOverride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	ccountIncludePad := int32(0)
	if countIncludePad {
		ccountIncludePad = int32(1)
	}
	var cdivisorOverrideVal int64 = 0
	var cdivisorOverrideNull int = 1
	if len(divisorOverride) > 0 {
		cdivisorOverrideVal = divisorOverride[0]
		cdivisorOverrideNull = 0
	}
	lib.AtgAvgPool3dOut(ptr, out.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), cceilMode, ccountIncludePad, cdivisorOverrideVal, cdivisorOverrideNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Baddbmm(batch1 *Tensor, batch2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBaddbmm(ptr, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Baddbmm_(batch1 *Tensor, batch2 *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBaddbmm_(ptr, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BaddbmmOut(out *Tensor, batch1 *Tensor, batch2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBaddbmmOut(ptr, out.ctensor, ts.ctensor, batch1.ctensor, batch2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BartlettWindow(windowLength int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBartlettWindow(ptr, windowLength, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BartlettWindow1(windowLength int64, periodic bool, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgBartlettWindow1(ptr, windowLength, cperiodic, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BatchNorm(input *Tensor, weight *Tensor, bias *Tensor, runningMean *Tensor, runningVar *Tensor, training bool, momentum float64, eps float64, cudnnEnabled bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	ccudnnEnabled := int32(0)
	if cudnnEnabled {
		ccudnnEnabled = int32(1)
	}
	lib.AtgBatchNorm(ptr, input.ctensor, weight.ctensor, bias.ctensor, runningMean.ctensor, runningVar.ctensor, ctraining, momentum, eps, ccudnnEnabled)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BatchNormBackwardElemt(gradOut *Tensor, input *Tensor, mean *Tensor, invstd *Tensor, weight *Tensor, meanDy *Tensor, meanDyXmu *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBatchNormBackwardElemt(ptr, gradOut.ctensor, input.ctensor, mean.ctensor, invstd.ctensor, weight.ctensor, meanDy.ctensor, meanDyXmu.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BatchNormElemt(input *Tensor, weight *Tensor, bias *Tensor, mean *Tensor, invstd *Tensor, eps float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBatchNormElemt(ptr, input.ctensor, weight.ctensor, bias.ctensor, mean.ctensor, invstd.ctensor, eps)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BatchNormElemtOut(out *Tensor, input *Tensor, weight *Tensor, bias *Tensor, mean *Tensor, invstd *Tensor, eps float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBatchNormElemtOut(ptr, out.ctensor, input.ctensor, weight.ctensor, bias.ctensor, mean.ctensor, invstd.ctensor, eps)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Bernoulli(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBernoulli(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Bernoulli1(p float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBernoulli1(ptr, ts.ctensor, p)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Bernoulli_(p *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBernoulli_(ptr, ts.ctensor, p.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Bernoulli1_(p float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBernoulli1_(ptr, ts.ctensor, p)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BernoulliOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBernoulliOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Bilinear(input1 *Tensor, input2 *Tensor, weight *Tensor, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBilinear(ptr, input1.ctensor, input2.ctensor, weight.ctensor, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BinaryCrossEntropy(target *Tensor, weight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinaryCrossEntropy(ptr, ts.ctensor, target.ctensor, weight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BinaryCrossEntropyBackward(gradOutput *Tensor, target *Tensor, weight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinaryCrossEntropyBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BinaryCrossEntropyBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, weight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinaryCrossEntropyBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BinaryCrossEntropyOut(out *Tensor, target *Tensor, weight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinaryCrossEntropyOut(ptr, out.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BinaryCrossEntropyWithLogits(target *Tensor, weight *Tensor, posWeight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinaryCrossEntropyWithLogits(ptr, ts.ctensor, target.ctensor, weight.ctensor, posWeight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BinaryCrossEntropyWithLogitsBackward(gradOutput *Tensor, target *Tensor, weight *Tensor, posWeight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinaryCrossEntropyWithLogitsBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, posWeight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Bincount(weights *Tensor, minlength int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBincount(ptr, ts.ctensor, weights.ctensor, minlength)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Binomial(count *Tensor, prob *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBinomial(ptr, count.ctensor, prob.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseAnd(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseAnd(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseAnd1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseAnd1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseAnd_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseAnd_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseAnd1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseAnd1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseAndOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseAndOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseAndOut1(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseAndOut1(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseNot(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseNot(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseNot_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseNot_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseNotOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseNotOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseOr(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseOr(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseOr1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseOr1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseOr_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseOr_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseOr1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseOr1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseOrOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseOrOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseOrOut1(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseOrOut1(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseXor(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseXor(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseXor1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseXor1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseXor_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseXor_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseXor1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseXor1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) BitwiseXorOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseXorOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BitwiseXorOut1(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBitwiseXorOut1(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BlackmanWindow(windowLength int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBlackmanWindow(ptr, windowLength, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BlackmanWindow1(windowLength int64, periodic bool, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgBlackmanWindow1(ptr, windowLength, cperiodic, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func BlockDiag(tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgBlockDiag(ptr, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Bmm(mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBmm(ptr, ts.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BmmOut(out *Tensor, mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgBmmOut(ptr, out.ctensor, ts.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Bucketize(boundaries *Tensor, outInt32 bool, right bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	coutInt32 := int32(0)
	if outInt32 {
		coutInt32 = int32(1)
	}
	cright := int32(0)
	if right {
		cright = int32(1)
	}
	lib.AtgBucketize(ptr, ts.ctensor, boundaries.ctensor, coutInt32, cright)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Bucketize1(selfScalar *Scalar, boundaries *Tensor, outInt32 bool, right bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	coutInt32 := int32(0)
	if outInt32 {
		coutInt32 = int32(1)
	}
	cright := int32(0)
	if right {
		cright = int32(1)
	}
	lib.AtgBucketize1(ptr, selfScalar.cscalar, boundaries.ctensor, coutInt32, cright)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) BucketizeOut(out *Tensor, boundaries *Tensor, outInt32 bool, right bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	coutInt32 := int32(0)
	if outInt32 {
		coutInt32 = int32(1)
	}
	cright := int32(0)
	if right {
		cright = int32(1)
	}
	lib.AtgBucketizeOut(ptr, out.ctensor, ts.ctensor, boundaries.ctensor, coutInt32, cright)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CartesianProd(tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgCartesianProd(ptr, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Cat(tensors []Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgCat(ptr, ctensors, len(ctensors), dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CatOut(out *Tensor, tensors []Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgCatOut(ptr, out.ctensor, ctensors, len(ctensors), dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cauchy_(median float64, sigma float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCauchy_(ptr, ts.ctensor, median, sigma)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func Cdist(x1 *Tensor, x2 *Tensor, p float64, computeMode []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ccomputeModeVal int64 = 0
	var ccomputeModeNull int = 1
	if len(computeMode) > 0 {
		ccomputeModeVal = computeMode[0]
		ccomputeModeNull = 0
	}
	lib.AtgCdist(ptr, x1.ctensor, x2.ctensor, p, ccomputeModeVal, ccomputeModeNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ceil(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCeil(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ceil_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCeil_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) CeilOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCeilOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Celu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCelu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Celu_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCelu_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func ChainMatmul(matrices []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cmatrices []lib.Ctensor
	for _, t := range matrices {
		cmatrices = append(cmatrices, t.ctensor)
	}
	lib.AtgChainMatmul(ptr, cmatrices, len(cmatrices))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ChannelShuffle(groups int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgChannelShuffle(ptr, ts.ctensor, groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cholesky(upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.AtgCholesky(ptr, ts.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CholeskyInverse(upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.AtgCholeskyInverse(ptr, ts.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CholeskyInverseOut(out *Tensor, upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.AtgCholeskyInverseOut(ptr, out.ctensor, ts.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CholeskyOut(out *Tensor, upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.AtgCholeskyOut(ptr, out.ctensor, ts.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CholeskySolve(input2 *Tensor, upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.AtgCholeskySolve(ptr, ts.ctensor, input2.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CholeskySolveOut(out *Tensor, input2 *Tensor, upper bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cupper := int32(0)
	if upper {
		cupper = int32(1)
	}
	lib.AtgCholeskySolveOut(ptr, out.ctensor, ts.ctensor, input2.ctensor, cupper)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Clamp(min *Scalar, max *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClamp(ptr, ts.ctensor, min.cscalar, max.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Clamp_(min *Scalar, max *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClamp_(ptr, ts.ctensor, min.cscalar, max.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ClampMax(max *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampMax(ptr, ts.ctensor, max.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ClampMax_(max *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampMax_(ptr, ts.ctensor, max.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ClampMaxOut(out *Tensor, max *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampMaxOut(ptr, out.ctensor, ts.ctensor, max.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ClampMin(min *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampMin(ptr, ts.ctensor, min.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ClampMin_(min *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampMin_(ptr, ts.ctensor, min.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ClampMinOut(out *Tensor, min *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampMinOut(ptr, out.ctensor, ts.ctensor, min.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ClampOut(out *Tensor, min *Scalar, max *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClampOut(ptr, out.ctensor, ts.ctensor, min.cscalar, max.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Clip(min *Scalar, max *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClip(ptr, ts.ctensor, min.cscalar, max.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Clip_(min *Scalar, max *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClip_(ptr, ts.ctensor, min.cscalar, max.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ClipOut(out *Tensor, min *Scalar, max *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgClipOut(ptr, out.ctensor, ts.ctensor, min.cscalar, max.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Coalesce(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCoalesce(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Col2im(outputSize []int64, kernelSize []int64, dilation []int64, padding []int64, stride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCol2im(ptr, ts.ctensor, outputSize, len(outputSize), kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Col2imBackward(gradOutput *Tensor, kernelSize []int64, dilation []int64, padding []int64, stride []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCol2imBackward(ptr, gradOutput.ctensor, kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Col2imBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, dilation []int64, padding []int64, stride []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCol2imBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Col2imOut(out *Tensor, outputSize []int64, kernelSize []int64, dilation []int64, padding []int64, stride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCol2imOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Combinations(r int64, withReplacement bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cwithReplacement := int32(0)
	if withReplacement {
		cwithReplacement = int32(1)
	}
	lib.AtgCombinations(ptr, ts.ctensor, r, cwithReplacement)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Complex(real *Tensor, imag *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgComplex(ptr, real.ctensor, imag.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ComplexOut(out *Tensor, real *Tensor, imag *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgComplexOut(ptr, out.ctensor, real.ctensor, imag.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Conj(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConj(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ConjOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConjOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ConstantPadNd(pad []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConstantPadNd(ptr, ts.ctensor, pad, len(pad))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Contiguous(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgContiguous(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Conv1d(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, groups int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConv1d(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Conv2d(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, groups int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConv2d(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Conv3d(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, groups int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConv3d(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ConvTbc(weight *Tensor, bias *Tensor, pad int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConvTbc(ptr, ts.ctensor, weight.ctensor, bias.ctensor, pad)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ConvTranspose1d(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, groups int64, dilation []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConvTranspose1d(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), groups, dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ConvTranspose2d(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, groups int64, dilation []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConvTranspose2d(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), groups, dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ConvTranspose3d(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, groups int64, dilation []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgConvTranspose3d(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), groups, dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Convolution(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, transposed bool, outputPadding []int64, groups int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctransposed := int32(0)
	if transposed {
		ctransposed = int32(1)
	}
	lib.AtgConvolution(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), ctransposed, outputPadding, len(outputPadding), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ConvolutionOverrideable(input *Tensor, weight *Tensor, bias *Tensor, stride []int64, padding []int64, dilation []int64, transposed bool, outputPadding []int64, groups int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctransposed := int32(0)
	if transposed {
		ctransposed = int32(1)
	}
	lib.AtgConvolutionOverrideable(ptr, input.ctensor, weight.ctensor, bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation), ctransposed, outputPadding, len(outputPadding), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CopySparseToSparse_(src *Tensor, nonBlocking bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	lib.AtgCopySparseToSparse_(ptr, ts.ctensor, src.ctensor, cnonBlocking)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Cos(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCos(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cos_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCos_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) CosOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCosOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cosh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCosh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cosh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCosh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) CoshOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCoshOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CosineEmbeddingLoss(input1 *Tensor, input2 *Tensor, target *Tensor, margin float64, reduction int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCosineEmbeddingLoss(ptr, input1.ctensor, input2.ctensor, target.ctensor, margin, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CosineSimilarity(x1 *Tensor, x2 *Tensor, dim int64, eps float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCosineSimilarity(ptr, x1.ctensor, x2.ctensor, dim, eps)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CountNonzero(dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCountNonzero(ptr, ts.ctensor, dim, len(dim))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CountNonzero1(dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	lib.AtgCountNonzero1(ptr, ts.ctensor, cdimVal, cdimNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cross(other *Tensor, dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	lib.AtgCross(ptr, ts.ctensor, other.ctensor, cdimVal, cdimNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CrossOut(out *Tensor, other *Tensor, dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	lib.AtgCrossOut(ptr, out.ctensor, ts.ctensor, other.ctensor, cdimVal, cdimNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CtcLoss(logProbs *Tensor, targets *Tensor, inputLengths []int64, targetLengths []int64, blank int64, reduction int64, zeroInfinity bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	czeroInfinity := int32(0)
	if zeroInfinity {
		czeroInfinity = int32(1)
	}
	lib.AtgCtcLoss(ptr, logProbs.ctensor, targets.ctensor, inputLengths, len(inputLengths), targetLengths, len(targetLengths), blank, reduction, czeroInfinity)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CtcLoss1(logProbs *Tensor, targets *Tensor, inputLengths *Tensor, targetLengths *Tensor, blank int64, reduction int64, zeroInfinity bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	czeroInfinity := int32(0)
	if zeroInfinity {
		czeroInfinity = int32(1)
	}
	lib.AtgCtcLoss1(ptr, logProbs.ctensor, targets.ctensor, inputLengths.ctensor, targetLengths.ctensor, blank, reduction, czeroInfinity)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CudnnAffineGridGenerator(theta *Tensor, n int64, c int64, h int64, w int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCudnnAffineGridGenerator(ptr, theta.ctensor, n, c, h, w)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CudnnAffineGridGeneratorBackward(grad *Tensor, n int64, c int64, h int64, w int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCudnnAffineGridGeneratorBackward(ptr, grad.ctensor, n, c, h, w)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolution(weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgCudnnConvolution(ptr, ts.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolution1(weight *Tensor, bias *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgCudnnConvolution1(ptr, ts.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolution2(weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, allowTf32 bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.AtgCudnnConvolution2(ptr, ts.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CudnnConvolutionBackwardInput(selfSize []int64, gradOutput *Tensor, weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, allowTf32 bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.AtgCudnnConvolutionBackwardInput(ptr, selfSize, len(selfSize), gradOutput.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolutionBackwardWeight(weightSize []int64, gradOutput *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, allowTf32 bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.AtgCudnnConvolutionBackwardWeight(ptr, weightSize, len(weightSize), gradOutput.ctensor, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolutionTranspose(weight *Tensor, padding []int64, outputPadding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgCudnnConvolutionTranspose(ptr, ts.ctensor, weight.ctensor, padding, len(padding), outputPadding, len(outputPadding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolutionTranspose1(weight *Tensor, bias *Tensor, padding []int64, outputPadding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgCudnnConvolutionTranspose1(ptr, ts.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), outputPadding, len(outputPadding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolutionTranspose2(weight *Tensor, padding []int64, outputPadding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, allowTf32 bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.AtgCudnnConvolutionTranspose2(ptr, ts.ctensor, weight.ctensor, padding, len(padding), outputPadding, len(outputPadding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CudnnConvolutionTransposeBackwardInput(gradOutput *Tensor, weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, allowTf32 bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.AtgCudnnConvolutionTransposeBackwardInput(ptr, gradOutput.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnConvolutionTransposeBackwardWeight(weightSize []int64, gradOutput *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, allowTf32 bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	callowTf32 := int32(0)
	if allowTf32 {
		callowTf32 = int32(1)
	}
	lib.AtgCudnnConvolutionTransposeBackwardWeight(ptr, weightSize, len(weightSize), gradOutput.ctensor, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic, callowTf32)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CudnnGridSampler(grid *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCudnnGridSampler(ptr, ts.ctensor, grid.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CummaxminBackward(grad *Tensor, input *Tensor, indices *Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCummaxminBackward(ptr, grad.ctensor, input.ctensor, indices.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cumprod(dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCumprod(ptr, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func CumprodBackward(grad *Tensor, input *Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCumprodBackward(ptr, grad.ctensor, input.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CumprodOut(out *Tensor, dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCumprodOut(ptr, out.ctensor, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Cumsum(dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCumsum(ptr, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) CumsumOut(out *Tensor, dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgCumsumOut(ptr, out.ctensor, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Data(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgData(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Deg2rad(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDeg2rad(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Deg2rad_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDeg2rad_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Deg2radOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDeg2radOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Dequantize(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDequantize(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Det(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDet(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Detach(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDetach(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Detach_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDetach_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Diag(diagonal int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiag(ptr, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func DiagBackward(grad *Tensor, inputSizes []int64, diagonal int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiagBackward(ptr, grad.ctensor, inputSizes, len(inputSizes), diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) DiagEmbed(offset int64, dim1 int64, dim2 int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiagEmbed(ptr, ts.ctensor, offset, dim1, dim2)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) DiagOut(out *Tensor, diagonal int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiagOut(ptr, out.ctensor, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Diagflat(offset int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiagflat(ptr, ts.ctensor, offset)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Diagonal(offset int64, dim1 int64, dim2 int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiagonal(ptr, ts.ctensor, offset, dim1, dim2)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func DiagonalBackward(grad *Tensor, inputSizes []int64, offset int64, dim1 int64, dim2 int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiagonalBackward(ptr, grad.ctensor, inputSizes, len(inputSizes), offset, dim1, dim2)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Digamma(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDigamma(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Digamma_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDigamma_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) DigammaOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDigammaOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Dist(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDist(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Div(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiv(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Div1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiv1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Div_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiv_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Div1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDiv1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) DivOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDivOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Divide(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDivide(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Divide1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDivide1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Divide_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDivide_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Divide1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDivide1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) DivideOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDivideOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Dot(tensor *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDot(ptr, ts.ctensor, tensor.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) DotOut(out *Tensor, tensor *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgDotOut(ptr, out.ctensor, ts.ctensor, tensor.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Dropout(input *Tensor, p float64, train bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgDropout(ptr, input.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Dropout_(p float64, train bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgDropout_(ptr, ts.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func Dstack(tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgDstack(ptr, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func DstackOut(out *Tensor, tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgDstackOut(ptr, out.ctensor, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Einsum(equation string, tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgEinsum(ptr, equation, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Elu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgElu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Elu_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgElu_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func EluBackward(gradOutput *Tensor, alpha *Scalar, scale *Scalar, inputScale *Scalar, output *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEluBackward(ptr, gradOutput.ctensor, alpha.cscalar, scale.cscalar, inputScale.cscalar, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EluBackwardOut(gradInput *Tensor, gradOutput *Tensor, alpha *Scalar, scale *Scalar, inputScale *Scalar, output *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEluBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, alpha.cscalar, scale.cscalar, inputScale.cscalar, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) EluOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEluOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Embedding(weight *Tensor, indices *Tensor, paddingIdx int64, scaleGradByFreq bool, sparse bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	csparse := int32(0)
	if sparse {
		csparse = int32(1)
	}
	lib.AtgEmbedding(ptr, weight.ctensor, indices.ctensor, paddingIdx, cscaleGradByFreq, csparse)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EmbeddingBackward(grad *Tensor, indices *Tensor, numWeights int64, paddingIdx int64, scaleGradByFreq bool, sparse bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	csparse := int32(0)
	if sparse {
		csparse = int32(1)
	}
	lib.AtgEmbeddingBackward(ptr, grad.ctensor, indices.ctensor, numWeights, paddingIdx, cscaleGradByFreq, csparse)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EmbeddingDenseBackward(gradOutput *Tensor, indices *Tensor, numWeights int64, paddingIdx int64, scaleGradByFreq bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	lib.AtgEmbeddingDenseBackward(ptr, gradOutput.ctensor, indices.ctensor, numWeights, paddingIdx, cscaleGradByFreq)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) EmbeddingRenorm_(indices *Tensor, maxNorm float64, normType float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmbeddingRenorm_(ptr, ts.ctensor, indices.ctensor, maxNorm, normType)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func EmbeddingSparseBackward(grad *Tensor, indices *Tensor, numWeights int64, paddingIdx int64, scaleGradByFreq bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cscaleGradByFreq := int32(0)
	if scaleGradByFreq {
		cscaleGradByFreq = int32(1)
	}
	lib.AtgEmbeddingSparseBackward(ptr, grad.ctensor, indices.ctensor, numWeights, paddingIdx, cscaleGradByFreq)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Empty(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmpty(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) EmptyLike(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmptyLike(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EmptyMeta(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmptyMeta(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EmptyOut(out *Tensor, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmptyOut(ptr, out.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EmptyQuantized(size []int64, qtensor *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmptyQuantized(ptr, size, len(size), qtensor.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EmptyStrided(size []int64, stride []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEmptyStrided(ptr, size, len(size), stride, len(stride), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Eq(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEq(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Eq1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEq1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Eq_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEq_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Eq1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEq1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) EqOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEqOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) EqOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEqOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Erf(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErf(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Erf_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErf_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ErfOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Erfc(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfc(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Erfc_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfc_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ErfcOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfcOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Erfinv(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfinv(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Erfinv_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfinv_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ErfinvOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgErfinvOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Exp(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExp(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Exp2(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExp2(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Exp2_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExp2_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Exp2Out(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExp2Out(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Exp_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExp_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ExpOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExpOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Expand(size []int64, implicit bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cimplicit := int32(0)
	if implicit {
		cimplicit = int32(1)
	}
	lib.AtgExpand(ptr, ts.ctensor, size, len(size), cimplicit)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ExpandAs(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExpandAs(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Expm1(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExpm1(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Expm1_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExpm1_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Expm1Out(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExpm1Out(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Exponential_(lambd float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgExponential_(ptr, ts.ctensor, lambd)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func Eye(n int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEye(ptr, n, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Eye1(n int64, m int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEye1(ptr, n, m, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EyeOut(out *Tensor, n int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEyeOut(ptr, out.ctensor, n)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func EyeOut1(out *Tensor, n int64, m int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgEyeOut1(ptr, out.ctensor, n, m)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FakeQuantizePerChannelAffine(scale *Tensor, zeroPoint *Tensor, axis int64, quantMin int64, quantMax int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFakeQuantizePerChannelAffine(ptr, ts.ctensor, scale.ctensor, zeroPoint.ctensor, axis, quantMin, quantMax)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FakeQuantizePerChannelAffineBackward(grad *Tensor, scale *Tensor, zeroPoint *Tensor, axis int64, quantMin int64, quantMax int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFakeQuantizePerChannelAffineBackward(ptr, grad.ctensor, ts.ctensor, scale.ctensor, zeroPoint.ctensor, axis, quantMin, quantMax)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FakeQuantizePerTensorAffine(scale float64, zeroPoint int64, quantMin int64, quantMax int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFakeQuantizePerTensorAffine(ptr, ts.ctensor, scale, zeroPoint, quantMin, quantMax)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FakeQuantizePerTensorAffineBackward(grad *Tensor, scale float64, zeroPoint int64, quantMin int64, quantMax int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFakeQuantizePerTensorAffineBackward(ptr, grad.ctensor, ts.ctensor, scale, zeroPoint, quantMin, quantMax)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmLinearFp16Weight(input *Tensor, packedWeight *Tensor, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmLinearFp16Weight(ptr, input.ctensor, packedWeight.ctensor, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmLinearFp16WeightFp32Activation(input *Tensor, packedWeight *Tensor, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmLinearFp16WeightFp32Activation(ptr, input.ctensor, packedWeight.ctensor, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmLinearInt8Weight(input *Tensor, weight *Tensor, packed *Tensor, colOffsets *Tensor, weightScale *Scalar, weightZeroPoint *Scalar, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmLinearInt8Weight(ptr, input.ctensor, weight.ctensor, packed.ctensor, colOffsets.ctensor, weightScale.cscalar, weightZeroPoint.cscalar, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmLinearInt8WeightFp32Activation(input *Tensor, weight *Tensor, packed *Tensor, colOffsets *Tensor, weightScale *Scalar, weightZeroPoint *Scalar, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmLinearInt8WeightFp32Activation(ptr, input.ctensor, weight.ctensor, packed.ctensor, colOffsets.ctensor, weightScale.cscalar, weightZeroPoint.cscalar, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmPackGemmMatrixFp16(input *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmPackGemmMatrixFp16(ptr, input.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmPackQuantizedMatrix(input *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmPackQuantizedMatrix(ptr, input.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FbgemmPackQuantizedMatrix1(input *Tensor, k int64, n int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFbgemmPackQuantizedMatrix1(ptr, input.ctensor, k, n)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FeatureAlphaDropout(input *Tensor, p float64, train bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgFeatureAlphaDropout(ptr, input.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FeatureAlphaDropout_(p float64, train bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgFeatureAlphaDropout_(ptr, ts.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func FeatureDropout(input *Tensor, p float64, train bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgFeatureDropout(ptr, input.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FeatureDropout_(p float64, train bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctrain := int32(0)
	if train {
		ctrain = int32(1)
	}
	lib.AtgFeatureDropout_(ptr, ts.ctensor, p, ctrain)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Fft(signalNdim int64, normalized bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	lib.AtgFft(ptr, ts.ctensor, signalNdim, cnormalized)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftFft(n []int64, dim int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	lib.AtgFftFft(ptr, ts.ctensor, cnVal, cnNull, dim, norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftFftn(s []int64, dim []int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFftFftn(ptr, ts.ctensor, s, len(s), dim, len(dim), norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftHfft(n []int64, dim int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	lib.AtgFftHfft(ptr, ts.ctensor, cnVal, cnNull, dim, norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftIfft(n []int64, dim int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	lib.AtgFftIfft(ptr, ts.ctensor, cnVal, cnNull, dim, norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftIfftn(s []int64, dim []int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFftIfftn(ptr, ts.ctensor, s, len(s), dim, len(dim), norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftIhfft(n []int64, dim int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	lib.AtgFftIhfft(ptr, ts.ctensor, cnVal, cnNull, dim, norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftIrfft(n []int64, dim int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	lib.AtgFftIrfft(ptr, ts.ctensor, cnVal, cnNull, dim, norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftIrfftn(s []int64, dim []int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFftIrfftn(ptr, ts.ctensor, s, len(s), dim, len(dim), norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftRfft(n []int64, dim int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	lib.AtgFftRfft(ptr, ts.ctensor, cnVal, cnNull, dim, norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FftRfftn(s []int64, dim []int64, norm string, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFftRfftn(ptr, ts.ctensor, s, len(s), dim, len(dim), norm)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Fill_(value *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFill_(ptr, ts.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Fill1_(value *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFill1_(ptr, ts.ctensor, value.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FillDiagonal_(fillValue *Scalar, wrap bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cwrap := int32(0)
	if wrap {
		cwrap = int32(1)
	}
	lib.AtgFillDiagonal_(ptr, ts.ctensor, fillValue.cscalar, cwrap)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Fix(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFix(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Fix_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFix_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FixOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFixOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Flatten(startDim int64, endDim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFlatten(ptr, ts.ctensor, startDim, endDim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Flip(dims []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFlip(ptr, ts.ctensor, dims, len(dims))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Fliplr(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFliplr(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Flipud(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFlipud(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Floor(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloor(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Floor_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloor_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FloorDivide(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloorDivide(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FloorDivide1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloorDivide1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FloorDivide_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloorDivide_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FloorDivide1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloorDivide1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FloorDivideOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloorDivideOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FloorOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFloorOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Fmod(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFmod(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Fmod1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFmod1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Fmod_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFmod_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Fmod1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFmod1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FmodOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFmodOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FmodOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFmodOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Frac(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFrac(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Frac_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFrac_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) FracOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFracOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FractionalMaxPool2dBackward(gradOutput *Tensor, kernelSize []int64, outputSize []int64, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFractionalMaxPool2dBackward(ptr, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), outputSize, len(outputSize), indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FractionalMaxPool2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, outputSize []int64, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFractionalMaxPool2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), outputSize, len(outputSize), indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FractionalMaxPool3dBackward(gradOutput *Tensor, kernelSize []int64, outputSize []int64, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFractionalMaxPool3dBackward(ptr, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), outputSize, len(outputSize), indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FractionalMaxPool3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, outputSize []int64, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFractionalMaxPool3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), outputSize, len(outputSize), indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FrobeniusNorm(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFrobeniusNorm(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FrobeniusNorm1(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgFrobeniusNorm1(ptr, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FrobeniusNormOut(out *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgFrobeniusNormOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FromFile(filename string, shared bool, size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cshared := int32(0)
	if shared {
		cshared = int32(1)
	}
	var csizeVal int64 = 0
	var csizeNull int = 1
	if len(size) > 0 {
		csizeVal = size[0]
		csizeNull = 0
	}
	lib.AtgFromFile(ptr, filename, cshared, csizeVal, csizeNull, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Full(size []int64, fillValue *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFull(ptr, size, len(size), fillValue.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) FullLike(fillValue *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFullLike(ptr, ts.ctensor, fillValue.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func FullOut(out *Tensor, size []int64, fillValue *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgFullOut(ptr, out.ctensor, size, len(size), fillValue.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gather(dim int64, index *Tensor, sparseGrad bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	csparseGrad := int32(0)
	if sparseGrad {
		csparseGrad = int32(1)
	}
	lib.AtgGather(ptr, ts.ctensor, dim, index.ctensor, csparseGrad)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GatherBackward(grad *Tensor, dim int64, index *Tensor, sparseGrad bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	csparseGrad := int32(0)
	if sparseGrad {
		csparseGrad = int32(1)
	}
	lib.AtgGatherBackward(ptr, grad.ctensor, ts.ctensor, dim, index.ctensor, csparseGrad)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GatherOut(out *Tensor, dim int64, index *Tensor, sparseGrad bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	csparseGrad := int32(0)
	if sparseGrad {
		csparseGrad = int32(1)
	}
	lib.AtgGatherOut(ptr, out.ctensor, ts.ctensor, dim, index.ctensor, csparseGrad)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gcd(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGcd(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gcd_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGcd_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) GcdOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGcdOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ge(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGe(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ge1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGe1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ge_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGe_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Ge1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGe1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) GeOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGeOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GeOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGeOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gelu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGelu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GeluBackward(grad *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGeluBackward(ptr, grad.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Geometric_(p float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGeometric_(ptr, ts.ctensor, p)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Ger(vec2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGer(ptr, ts.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GerOut(out *Tensor, vec2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGerOut(ptr, out.ctensor, ts.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Glu(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGlu(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GluBackward(gradOutput *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGluBackward(ptr, gradOutput.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GluBackwardOut(gradInput *Tensor, gradOutput *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGluBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GluOut(out *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGluOut(ptr, out.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Grad(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGrad(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Greater(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreater(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Greater1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreater1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Greater_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreater_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Greater1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreater1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) GreaterEqual(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterEqual(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GreaterEqual1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterEqual1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GreaterEqual_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterEqual_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) GreaterEqual1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterEqual1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) GreaterEqualOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterEqualOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GreaterEqualOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterEqualOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GreaterOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GreaterOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGreaterOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func GridSampler(input *Tensor, grid *Tensor, interpolationMode int64, paddingMode int64, alignCorners bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	lib.AtgGridSampler(ptr, input.ctensor, grid.ctensor, interpolationMode, paddingMode, calignCorners)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func GridSampler2d(input *Tensor, grid *Tensor, interpolationMode int64, paddingMode int64, alignCorners bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	lib.AtgGridSampler2d(ptr, input.ctensor, grid.ctensor, interpolationMode, paddingMode, calignCorners)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func GridSampler3d(input *Tensor, grid *Tensor, interpolationMode int64, paddingMode int64, alignCorners bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	lib.AtgGridSampler3d(ptr, input.ctensor, grid.ctensor, interpolationMode, paddingMode, calignCorners)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func GroupNorm(input *Tensor, numGroups int64, weight *Tensor, bias *Tensor, eps float64, cudnnEnabled bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ccudnnEnabled := int32(0)
	if cudnnEnabled {
		ccudnnEnabled = int32(1)
	}
	lib.AtgGroupNorm(ptr, input.ctensor, numGroups, weight.ctensor, bias.ctensor, eps, ccudnnEnabled)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func GruCell(input *Tensor, hx *Tensor, wIh *Tensor, wHh *Tensor, bIh *Tensor, bHh *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGruCell(ptr, input.ctensor, hx.ctensor, wIh.ctensor, wHh.ctensor, bIh.ctensor, bHh.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gt(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGt(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gt1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGt1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Gt_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGt_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Gt1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGt1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) GtOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGtOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) GtOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgGtOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HammingWindow(windowLength int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHammingWindow(ptr, windowLength, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HammingWindow1(windowLength int64, periodic bool, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgHammingWindow1(ptr, windowLength, cperiodic, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HammingWindow2(windowLength int64, periodic bool, alpha float64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgHammingWindow2(ptr, windowLength, cperiodic, alpha, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HammingWindow3(windowLength int64, periodic bool, alpha float64, beta float64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgHammingWindow3(ptr, windowLength, cperiodic, alpha, beta, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HannWindow(windowLength int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHannWindow(ptr, windowLength, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HannWindow1(windowLength int64, periodic bool, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgHannWindow1(ptr, windowLength, cperiodic, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardshrink(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardshrink(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HardshrinkBackward(gradOut *Tensor, lambd *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardshrinkBackward(ptr, gradOut.ctensor, ts.ctensor, lambd.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardsigmoid(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardsigmoid(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardsigmoid_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardsigmoid_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) HardsigmoidBackward(gradOutput *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardsigmoidBackward(ptr, gradOutput.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HardsigmoidOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardsigmoidOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardswish(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardswish(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardswish_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardswish_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) HardswishBackward(gradOutput *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardswishBackward(ptr, gradOutput.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HardswishOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardswishOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardtanh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardtanh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hardtanh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardtanh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) HardtanhBackward(gradOutput *Tensor, minVal *Scalar, maxVal *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardtanhBackward(ptr, gradOutput.ctensor, ts.ctensor, minVal.cscalar, maxVal.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HardtanhBackwardOut(gradInput *Tensor, gradOutput *Tensor, minVal *Scalar, maxVal *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardtanhBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, minVal.cscalar, maxVal.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HardtanhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHardtanhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Heaviside(values *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHeaviside(ptr, ts.ctensor, values.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Heaviside_(values *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHeaviside_(ptr, ts.ctensor, values.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) HeavisideOut(out *Tensor, values *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHeavisideOut(ptr, out.ctensor, ts.ctensor, values.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HingeEmbeddingLoss(target *Tensor, margin float64, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHingeEmbeddingLoss(ptr, ts.ctensor, target.ctensor, margin, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Histc(bins int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHistc(ptr, ts.ctensor, bins)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) HistcOut(out *Tensor, bins int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHistcOut(ptr, out.ctensor, ts.ctensor, bins)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Hspmm(mat1 *Tensor, mat2 *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHspmm(ptr, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HspmmOut(out *Tensor, mat1 *Tensor, mat2 *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHspmmOut(ptr, out.ctensor, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Hstack(tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgHstack(ptr, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func HstackOut(out *Tensor, tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgHstackOut(ptr, out.ctensor, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hypot(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHypot(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Hypot_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHypot_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) HypotOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgHypotOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) I0(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgI0(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) I0_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgI0_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) I0Out(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgI0Out(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ifft(signalNdim int64, normalized bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	lib.AtgIfft(ptr, ts.ctensor, signalNdim, cnormalized)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Im2col(kernelSize []int64, dilation []int64, padding []int64, stride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIm2col(ptr, ts.ctensor, kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Im2colBackward(gradOutput *Tensor, inputSize []int64, kernelSize []int64, dilation []int64, padding []int64, stride []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIm2colBackward(ptr, gradOutput.ctensor, inputSize, len(inputSize), kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Im2colBackwardOut(gradInput *Tensor, gradOutput *Tensor, inputSize []int64, kernelSize []int64, dilation []int64, padding []int64, stride []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIm2colBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, inputSize, len(inputSize), kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Im2colOut(out *Tensor, kernelSize []int64, dilation []int64, padding []int64, stride []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIm2colOut(ptr, out.ctensor, ts.ctensor, kernelSize, len(kernelSize), dilation, len(dilation), padding, len(padding), stride, len(stride))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Imag(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgImag(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Index(indices []Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cindices []lib.Ctensor
	for _, t := range indices {
		cindices = append(cindices, t.ctensor)
	}
	lib.AtgIndex(ptr, ts.ctensor, cindices, len(cindices))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexAdd(dim int64, index *Tensor, source *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexAdd(ptr, ts.ctensor, dim, index.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexAdd_(dim int64, index *Tensor, source *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexAdd_(ptr, ts.ctensor, dim, index.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) IndexCopy(dim int64, index *Tensor, source *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexCopy(ptr, ts.ctensor, dim, index.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexCopy_(dim int64, index *Tensor, source *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexCopy_(ptr, ts.ctensor, dim, index.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) IndexFill(dim int64, index *Tensor, value *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexFill(ptr, ts.ctensor, dim, index.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexFill1(dim int64, index *Tensor, value *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexFill1(ptr, ts.ctensor, dim, index.ctensor, value.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexFill_(dim int64, index *Tensor, value *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexFill_(ptr, ts.ctensor, dim, index.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) IndexFill1_(dim int64, index *Tensor, value *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexFill1_(ptr, ts.ctensor, dim, index.ctensor, value.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) IndexPut(indices []Tensor, values *Tensor, accumulate bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cindices []lib.Ctensor
	for _, t := range indices {
		cindices = append(cindices, t.ctensor)
	}
	caccumulate := int32(0)
	if accumulate {
		caccumulate = int32(1)
	}
	lib.AtgIndexPut(ptr, ts.ctensor, cindices, len(cindices), values.ctensor, caccumulate)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexPut_(indices []Tensor, values *Tensor, accumulate bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cindices []lib.Ctensor
	for _, t := range indices {
		cindices = append(cindices, t.ctensor)
	}
	caccumulate := int32(0)
	if accumulate {
		caccumulate = int32(1)
	}
	lib.AtgIndexPut_(ptr, ts.ctensor, cindices, len(cindices), values.ctensor, caccumulate)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) IndexSelect(dim int64, index *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexSelect(ptr, ts.ctensor, dim, index.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func IndexSelectBackward(grad *Tensor, selfSizes []int64, dim int64, index *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexSelectBackward(ptr, grad.ctensor, selfSizes, len(selfSizes), dim, index.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IndexSelectOut(out *Tensor, dim int64, index *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndexSelectOut(ptr, out.ctensor, ts.ctensor, dim, index.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Indices(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIndices(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) InfinitelyDifferentiableGeluBackward(grad *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgInfinitelyDifferentiableGeluBackward(ptr, grad.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func InstanceNorm(input *Tensor, weight *Tensor, bias *Tensor, runningMean *Tensor, runningVar *Tensor, useInputStats bool, momentum float64, eps float64, cudnnEnabled bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cuseInputStats := int32(0)
	if useInputStats {
		cuseInputStats = int32(1)
	}
	ccudnnEnabled := int32(0)
	if cudnnEnabled {
		ccudnnEnabled = int32(1)
	}
	lib.AtgInstanceNorm(ptr, input.ctensor, weight.ctensor, bias.ctensor, runningMean.ctensor, runningVar.ctensor, cuseInputStats, momentum, eps, ccudnnEnabled)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IntRepr(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIntRepr(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Inverse(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgInverse(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) InverseOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgInverseOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Irfft(signalNdim int64, normalized bool, onesided bool, signalSizes []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	conesided := int32(0)
	if onesided {
		conesided = int32(1)
	}
	lib.AtgIrfft(ptr, ts.ctensor, signalNdim, cnormalized, conesided, signalSizes, len(signalSizes))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isclose(other *Tensor, rtol float64, atol float64, equalNan bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cequalNan := int32(0)
	if equalNan {
		cequalNan = int32(1)
	}
	lib.AtgIsclose(ptr, ts.ctensor, other.ctensor, rtol, atol, cequalNan)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isfinite(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsfinite(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isinf(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsinf(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isnan(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsnan(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isneginf(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsneginf(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IsneginfOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsneginfOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isposinf(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsposinf(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) IsposinfOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsposinfOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Isreal(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgIsreal(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Istft(nFft int64, hopLength []int64, winLength []int64, window *Tensor, center bool, normalized bool, onesided bool, length []int64, returnComplex bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var chopLengthVal int64 = 0
	var chopLengthNull int = 1
	if len(hopLength) > 0 {
		chopLengthVal = hopLength[0]
		chopLengthNull = 0
	}
	var cwinLengthVal int64 = 0
	var cwinLengthNull int = 1
	if len(winLength) > 0 {
		cwinLengthVal = winLength[0]
		cwinLengthNull = 0
	}
	ccenter := int32(0)
	if center {
		ccenter = int32(1)
	}
	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	conesided := int32(0)
	if onesided {
		conesided = int32(1)
	}
	var clengthVal int64 = 0
	var clengthNull int = 1
	if len(length) > 0 {
		clengthVal = length[0]
		clengthNull = 0
	}
	creturnComplex := int32(0)
	if returnComplex {
		creturnComplex = int32(1)
	}
	lib.AtgIstft(ptr, ts.ctensor, nFft, chopLengthVal, chopLengthNull, cwinLengthVal, cwinLengthNull, window.ctensor, ccenter, cnormalized, conesided, clengthVal, clengthNull, creturnComplex)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func KaiserWindow(windowLength int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgKaiserWindow(ptr, windowLength, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func KaiserWindow1(windowLength int64, periodic bool, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgKaiserWindow1(ptr, windowLength, cperiodic, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func KaiserWindow2(windowLength int64, periodic bool, beta float64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cperiodic := int32(0)
	if periodic {
		cperiodic = int32(1)
	}
	lib.AtgKaiserWindow2(ptr, windowLength, cperiodic, beta, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) KlDiv(target *Tensor, reduction int64, logTarget bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	clogTarget := int32(0)
	if logTarget {
		clogTarget = int32(1)
	}
	lib.AtgKlDiv(ptr, ts.ctensor, target.ctensor, reduction, clogTarget)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) KlDivBackward(gradOutput *Tensor, target *Tensor, reduction int64, logTarget bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	clogTarget := int32(0)
	if logTarget {
		clogTarget = int32(1)
	}
	lib.AtgKlDivBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction, clogTarget)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) L1Loss(target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgL1Loss(ptr, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) L1LossBackward(gradOutput *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgL1LossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) L1LossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgL1LossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) L1LossOut(out *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgL1LossOut(ptr, out.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func LayerNorm(input *Tensor, normalizedShape []int64, weight *Tensor, bias *Tensor, eps float64, cudnnEnable bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ccudnnEnable := int32(0)
	if cudnnEnable {
		ccudnnEnable = int32(1)
	}
	lib.AtgLayerNorm(ptr, input.ctensor, normalizedShape, len(normalizedShape), weight.ctensor, bias.ctensor, eps, ccudnnEnable)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lcm(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLcm(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lcm_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLcm_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LcmOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLcmOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Le(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLe(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Le1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLe1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Le_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLe_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Le1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLe1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LeOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLeOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LeOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLeOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LeakyRelu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLeakyRelu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LeakyRelu_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLeakyRelu_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LeakyReluBackward(gradOutput *Tensor, negativeSlope *Scalar, selfIsResult bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cselfIsResult := int32(0)
	if selfIsResult {
		cselfIsResult = int32(1)
	}
	lib.AtgLeakyReluBackward(ptr, gradOutput.ctensor, ts.ctensor, negativeSlope.cscalar, cselfIsResult)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LeakyReluOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLeakyReluOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lerp(end *Tensor, weight *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLerp(ptr, ts.ctensor, end.ctensor, weight.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lerp1(end *Tensor, weight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLerp1(ptr, ts.ctensor, end.ctensor, weight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lerp_(end *Tensor, weight *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLerp_(ptr, ts.ctensor, end.ctensor, weight.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Lerp1_(end *Tensor, weight *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLerp1_(ptr, ts.ctensor, end.ctensor, weight.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LerpOut(out *Tensor, end *Tensor, weight *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLerpOut(ptr, out.ctensor, ts.ctensor, end.ctensor, weight.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LerpOut1(out *Tensor, end *Tensor, weight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLerpOut1(ptr, out.ctensor, ts.ctensor, end.ctensor, weight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Less(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLess(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Less1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLess1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Less_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLess_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Less1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLess1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LessEqual(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessEqual(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LessEqual1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessEqual1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LessEqual_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessEqual_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LessEqual1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessEqual1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LessEqualOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessEqualOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LessEqualOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessEqualOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LessOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LessOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLessOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lgamma(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLgamma(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lgamma_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLgamma_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LgammaOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLgammaOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LinalgDet(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLinalgDet(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LinalgNorm(ord *Scalar, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgLinalgNorm(ptr, ts.ctensor, ord.cscalar, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LinalgNorm1(ord string, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgLinalgNorm1(ptr, ts.ctensor, ord, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LinalgNormOut(out *Tensor, ord *Scalar, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgLinalgNormOut(ptr, out.ctensor, ts.ctensor, ord.cscalar, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LinalgNormOut1(out *Tensor, ord string, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgLinalgNormOut1(ptr, out.ctensor, ts.ctensor, ord, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Linear(input *Tensor, weight *Tensor, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLinear(ptr, input.ctensor, weight.ctensor, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Linspace(start *Scalar, end *Scalar, steps []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cstepsVal int64 = 0
	var cstepsNull int = 1
	if len(steps) > 0 {
		cstepsVal = steps[0]
		cstepsNull = 0
	}
	lib.AtgLinspace(ptr, start.cscalar, end.cscalar, cstepsVal, cstepsNull, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func LinspaceOut(out *Tensor, start *Scalar, end *Scalar, steps []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cstepsVal int64 = 0
	var cstepsNull int = 1
	if len(steps) > 0 {
		cstepsVal = steps[0]
		cstepsNull = 0
	}
	lib.AtgLinspaceOut(ptr, out.ctensor, start.cscalar, end.cscalar, cstepsVal, cstepsNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log10(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog10(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log10_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog10_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Log10Out(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog10Out(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log1p(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog1p(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log1p_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog1p_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Log1pOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog1pOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log2(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog2(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log2_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog2_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Log2Out(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog2Out(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Log_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLog_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogNormal_(mean float64, std float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogNormal_(ptr, ts.ctensor, mean, std)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogSigmoid(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogSigmoid(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogSigmoidBackward(gradOutput *Tensor, buffer *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogSigmoidBackward(ptr, gradOutput.ctensor, ts.ctensor, buffer.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogSigmoidBackwardOut(gradInput *Tensor, gradOutput *Tensor, buffer *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogSigmoidBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, buffer.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogSigmoidOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogSigmoidOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogSoftmax(dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogSoftmax(ptr, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logaddexp(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogaddexp(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logaddexp2(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogaddexp2(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logaddexp2Out(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogaddexp2Out(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogaddexpOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogaddexpOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logcumsumexp(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogcumsumexp(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogcumsumexpOut(out *Tensor, dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogcumsumexpOut(ptr, out.ctensor, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logdet(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogdet(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalAnd(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalAnd(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalAnd_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalAnd_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogicalAndOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalAndOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalNot(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalNot(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalNot_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalNot_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogicalNotOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalNotOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalOr(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalOr(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalOr_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalOr_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogicalOrOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalOrOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalXor(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalXor(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogicalXor_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalXor_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogicalXorOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLogicalXorOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logit(eps []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cepsVal float64 = 0.0
	var cepsNull int = 1
	if len(eps) > 0 {
		cepsVal = eps[0]
		cepsNull = 0
	}
	lib.AtgLogit(ptr, ts.ctensor, cepsVal, cepsNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logit_(eps []float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cepsVal float64 = 0.0
	var cepsNull int = 1
	if len(eps) > 0 {
		cepsVal = eps[0]
		cepsNull = 0
	}
	lib.AtgLogit_(ptr, ts.ctensor, cepsVal, cepsNull)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LogitBackward(gradOutput *Tensor, eps []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cepsVal float64 = 0.0
	var cepsNull int = 1
	if len(eps) > 0 {
		cepsVal = eps[0]
		cepsNull = 0
	}
	lib.AtgLogitBackward(ptr, gradOutput.ctensor, ts.ctensor, cepsVal, cepsNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogitBackwardOut(gradInput *Tensor, gradOutput *Tensor, eps []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cepsVal float64 = 0.0
	var cepsNull int = 1
	if len(eps) > 0 {
		cepsVal = eps[0]
		cepsNull = 0
	}
	lib.AtgLogitBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, cepsVal, cepsNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogitOut(out *Tensor, eps []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cepsVal float64 = 0.0
	var cepsNull int = 1
	if len(eps) > 0 {
		cepsVal = eps[0]
		cepsNull = 0
	}
	lib.AtgLogitOut(ptr, out.ctensor, ts.ctensor, cepsVal, cepsNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Logspace(start *Scalar, end *Scalar, steps []int64, base float64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cstepsVal int64 = 0
	var cstepsNull int = 1
	if len(steps) > 0 {
		cstepsVal = steps[0]
		cstepsNull = 0
	}
	lib.AtgLogspace(ptr, start.cscalar, end.cscalar, cstepsVal, cstepsNull, base, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func LogspaceOut(out *Tensor, start *Scalar, end *Scalar, steps []int64, base float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cstepsVal int64 = 0
	var cstepsNull int = 1
	if len(steps) > 0 {
		cstepsVal = steps[0]
		cstepsNull = 0
	}
	lib.AtgLogspaceOut(ptr, out.ctensor, start.cscalar, end.cscalar, cstepsVal, cstepsNull, base)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Logsumexp(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgLogsumexp(ptr, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LogsumexpOut(out *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgLogsumexpOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lt(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLt(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lt1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLt1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Lt_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLt_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Lt1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLt1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) LtOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLtOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LtOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLtOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LuSolve(lUData *Tensor, lUPivots *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLuSolve(ptr, ts.ctensor, lUData.ctensor, lUPivots.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) LuSolveOut(out *Tensor, lUData *Tensor, lUPivots *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgLuSolveOut(ptr, out.ctensor, ts.ctensor, lUData.ctensor, lUPivots.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MarginRankingLoss(input1 *Tensor, input2 *Tensor, target *Tensor, margin float64, reduction int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMarginRankingLoss(ptr, input1.ctensor, input2.ctensor, target.ctensor, margin, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaskedFill(mask *Tensor, value *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedFill(ptr, ts.ctensor, mask.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaskedFill1(mask *Tensor, value *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedFill1(ptr, ts.ctensor, mask.ctensor, value.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaskedFill_(mask *Tensor, value *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedFill_(ptr, ts.ctensor, mask.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) MaskedFill1_(mask *Tensor, value *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedFill1_(ptr, ts.ctensor, mask.ctensor, value.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) MaskedScatter(mask *Tensor, source *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedScatter(ptr, ts.ctensor, mask.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaskedScatter_(mask *Tensor, source *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedScatter_(ptr, ts.ctensor, mask.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) MaskedSelect(mask *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedSelect(ptr, ts.ctensor, mask.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MaskedSelectBackward(grad *Tensor, input *Tensor, mask *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedSelectBackward(ptr, grad.ctensor, input.ctensor, mask.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaskedSelectOut(out *Tensor, mask *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaskedSelectOut(ptr, out.ctensor, ts.ctensor, mask.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Matmul(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMatmul(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MatmulOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMatmulOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MatrixExp(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMatrixExp(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MatrixExpBackward(grad *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMatrixExpBackward(ptr, ts.ctensor, grad.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MatrixPower(n int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMatrixPower(ptr, ts.ctensor, n)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MatrixRank(symmetric bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	csymmetric := int32(0)
	if symmetric {
		csymmetric = int32(1)
	}
	lib.AtgMatrixRank(ptr, ts.ctensor, csymmetric)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MatrixRank1(tol float64, symmetric bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	csymmetric := int32(0)
	if symmetric {
		csymmetric = int32(1)
	}
	lib.AtgMatrixRank1(ptr, ts.ctensor, tol, csymmetric)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Max(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMax(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Max1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMax1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool1d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool1d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool2d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool2d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool2dWithIndicesBackward(gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool2dWithIndicesBackward(ptr, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool2dWithIndicesBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool2dWithIndicesBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool3d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool3d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool3dWithIndicesBackward(gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool3dWithIndicesBackward(ptr, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxPool3dWithIndicesBackwardOut(gradInput *Tensor, gradOutput *Tensor, kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, indices *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMaxPool3dWithIndicesBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode, indices.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool2d(indices *Tensor, outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool2d(ptr, ts.ctensor, indices.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool2dBackward(gradOutput *Tensor, indices *Tensor, outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool2dBackward(ptr, gradOutput.ctensor, ts.ctensor, indices.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, indices *Tensor, outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, indices.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool2dOut(out *Tensor, indices *Tensor, outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool2dOut(ptr, out.ctensor, ts.ctensor, indices.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool3d(indices *Tensor, outputSize []int64, stride []int64, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool3d(ptr, ts.ctensor, indices.ctensor, outputSize, len(outputSize), stride, len(stride), padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool3dBackward(gradOutput *Tensor, indices *Tensor, outputSize []int64, stride []int64, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool3dBackward(ptr, gradOutput.ctensor, ts.ctensor, indices.ctensor, outputSize, len(outputSize), stride, len(stride), padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, indices *Tensor, outputSize []int64, stride []int64, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, indices.ctensor, outputSize, len(outputSize), stride, len(stride), padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaxUnpool3dOut(out *Tensor, indices *Tensor, outputSize []int64, stride []int64, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaxUnpool3dOut(ptr, out.ctensor, ts.ctensor, indices.ctensor, outputSize, len(outputSize), stride, len(stride), padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Maximum(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaximum(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MaximumOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMaximumOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mean(dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMean(ptr, ts.ctensor, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mean1(dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgMean1(ptr, ts.ctensor, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MeanOut(out *Tensor, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgMeanOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Median(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMedian(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Min(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMin(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Min1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMin1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MinOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMinOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Minimum(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMinimum(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MinimumOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMinimumOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MiopenConvolution(weight *Tensor, bias *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenConvolution(ptr, ts.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MiopenConvolutionBackwardBias(gradOutput *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMiopenConvolutionBackwardBias(ptr, gradOutput.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MiopenConvolutionBackwardInput(selfSize []int64, gradOutput *Tensor, weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenConvolutionBackwardInput(ptr, selfSize, len(selfSize), gradOutput.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MiopenConvolutionBackwardWeight(weightSize []int64, gradOutput *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenConvolutionBackwardWeight(ptr, weightSize, len(weightSize), gradOutput.ctensor, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MiopenConvolutionTranspose(weight *Tensor, bias *Tensor, padding []int64, outputPadding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenConvolutionTranspose(ptr, ts.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), outputPadding, len(outputPadding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MiopenConvolutionTransposeBackwardInput(gradOutput *Tensor, weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenConvolutionTransposeBackwardInput(ptr, gradOutput.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MiopenConvolutionTransposeBackwardWeight(weightSize []int64, gradOutput *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenConvolutionTransposeBackwardWeight(ptr, weightSize, len(weightSize), gradOutput.ctensor, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MiopenDepthwiseConvolution(weight *Tensor, bias *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenDepthwiseConvolution(ptr, ts.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MiopenDepthwiseConvolutionBackwardInput(selfSize []int64, gradOutput *Tensor, weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenDepthwiseConvolutionBackwardInput(ptr, selfSize, len(selfSize), gradOutput.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MiopenDepthwiseConvolutionBackwardWeight(weightSize []int64, gradOutput *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, benchmark bool, deterministic bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbenchmark := int32(0)
	if benchmark {
		cbenchmark = int32(1)
	}
	cdeterministic := int32(0)
	if deterministic {
		cdeterministic = int32(1)
	}
	lib.AtgMiopenDepthwiseConvolutionBackwardWeight(ptr, weightSize, len(weightSize), gradOutput.ctensor, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbenchmark, cdeterministic)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MkldnnAdaptiveAvgPool2d(outputSize []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMkldnnAdaptiveAvgPool2d(ptr, ts.ctensor, outputSize, len(outputSize))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MkldnnConvolution(weight *Tensor, bias *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMkldnnConvolution(ptr, ts.ctensor, weight.ctensor, bias.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MkldnnConvolutionBackwardInput(selfSize []int64, gradOutput *Tensor, weight *Tensor, padding []int64, stride []int64, dilation []int64, groups int64, biasDefined bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cbiasDefined := int32(0)
	if biasDefined {
		cbiasDefined = int32(1)
	}
	lib.AtgMkldnnConvolutionBackwardInput(ptr, selfSize, len(selfSize), gradOutput.ctensor, weight.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups, cbiasDefined)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func MkldnnLinear(input *Tensor, weight *Tensor, bias *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMkldnnLinear(ptr, input.ctensor, weight.ctensor, bias.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MkldnnMaxPool2d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMkldnnMaxPool2d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MkldnnMaxPool3d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgMkldnnMaxPool3d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MkldnnReorderConv2dWeight(padding []int64, stride []int64, dilation []int64, groups int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMkldnnReorderConv2dWeight(ptr, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MkldnnReorderConv3dWeight(padding []int64, stride []int64, dilation []int64, groups int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMkldnnReorderConv3dWeight(ptr, ts.ctensor, padding, len(padding), stride, len(stride), dilation, len(dilation), groups)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mm(mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMm(ptr, ts.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MmOut(out *Tensor, mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMmOut(ptr, out.ctensor, ts.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Movedim(source []int64, destination []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMovedim(ptr, ts.ctensor, source, len(source), destination, len(destination))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Movedim1(source int64, destination int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMovedim1(ptr, ts.ctensor, source, destination)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MseLoss(target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMseLoss(ptr, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MseLossBackward(gradOutput *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMseLossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MseLossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMseLossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MseLossOut(out *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMseLossOut(ptr, out.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mul(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMul(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mul1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMul1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mul_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMul_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Mul1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMul1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) MulOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMulOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultiMarginLossBackward(gradOutput *Tensor, target *Tensor, p *Scalar, margin *Scalar, weight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiMarginLossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, p.cscalar, margin.cscalar, weight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultiMarginLossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, p *Scalar, margin *Scalar, weight *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiMarginLossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, p.cscalar, margin.cscalar, weight.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultilabelMarginLoss(target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultilabelMarginLoss(ptr, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultilabelMarginLossBackward(gradOutput *Tensor, target *Tensor, reduction int64, isTarget *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultilabelMarginLossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction, isTarget.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultilabelMarginLossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, reduction int64, isTarget *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultilabelMarginLossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction, isTarget.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultilabelMarginLossOut(out *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultilabelMarginLossOut(ptr, out.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Multinomial(numSamples int64, replacement bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	creplacement := int32(0)
	if replacement {
		creplacement = int32(1)
	}
	lib.AtgMultinomial(ptr, ts.ctensor, numSamples, creplacement)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MultinomialOut(out *Tensor, numSamples int64, replacement bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	creplacement := int32(0)
	if replacement {
		creplacement = int32(1)
	}
	lib.AtgMultinomialOut(ptr, out.ctensor, ts.ctensor, numSamples, creplacement)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Multiply(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiply(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Multiply1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiply1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Multiply_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiply_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Multiply1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiply1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) MultiplyOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMultiplyOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mv(vec *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMv(ptr, ts.ctensor, vec.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) MvOut(out *Tensor, vec *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMvOut(ptr, out.ctensor, ts.ctensor, vec.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mvlgamma(p int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMvlgamma(ptr, ts.ctensor, p)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Mvlgamma_(p int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgMvlgamma_(ptr, ts.ctensor, p)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Nanquantile(q float64, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNanquantile(ptr, ts.ctensor, q, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Nanquantile1(q *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNanquantile1(ptr, ts.ctensor, q.ctensor, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NanquantileOut(out *Tensor, q float64, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNanquantileOut(ptr, out.ctensor, ts.ctensor, q, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NanquantileOut1(out *Tensor, q *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNanquantileOut1(ptr, out.ctensor, ts.ctensor, q.ctensor, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Nansum(dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNansum(ptr, ts.ctensor, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Nansum1(dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNansum1(ptr, ts.ctensor, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NansumOut(out *Tensor, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNansumOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Narrow(dim int64, start int64, length int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNarrow(ptr, ts.ctensor, dim, start, length)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Narrow1(dim int64, start *Tensor, length int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNarrow1(ptr, ts.ctensor, dim, start.ctensor, length)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NarrowCopy(dim int64, start int64, length int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNarrowCopy(ptr, ts.ctensor, dim, start, length)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NativeNorm(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNativeNorm(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NativeNorm1(p *Scalar, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNativeNorm1(ptr, ts.ctensor, p.cscalar, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ne(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNe(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ne1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNe1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ne_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNe_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Ne1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNe1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) NeOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNeOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NeOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNeOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Neg(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNeg(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Neg_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNeg_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) NegOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNegOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Negative(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNegative(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Negative_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNegative_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) NegativeOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNegativeOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NewEmpty(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNewEmpty(ptr, ts.ctensor, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NewFull(size []int64, fillValue *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNewFull(ptr, ts.ctensor, size, len(size), fillValue.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NewZeros(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNewZeros(ptr, ts.ctensor, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Nextafter(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNextafter(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Nextafter_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNextafter_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) NextafterOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNextafterOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLoss(target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLoss(ptr, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLoss2d(target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLoss2d(ptr, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLoss2dBackward(gradOutput *Tensor, target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, totalWeight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLoss2dBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex, totalWeight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLoss2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, totalWeight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLoss2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex, totalWeight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLoss2dOut(out *Tensor, target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLoss2dOut(ptr, out.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLossBackward(gradOutput *Tensor, target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, totalWeight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex, totalWeight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, totalWeight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex, totalWeight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NllLossOut(out *Tensor, target *Tensor, weight *Tensor, reduction int64, ignoreIndex int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNllLossOut(ptr, out.ctensor, ts.ctensor, target.ctensor, weight.ctensor, reduction, ignoreIndex)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Nonzero(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNonzero(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NonzeroOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNonzeroOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Norm(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNorm(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Norm1(p *Scalar, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNorm1(ptr, ts.ctensor, p.cscalar, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Norm2(p *Scalar, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNorm2(ptr, ts.ctensor, p.cscalar, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Norm3(p *Scalar, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNorm3(ptr, ts.ctensor, p.cscalar, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func NormExceptDim(v *Tensor, pow int64, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNormExceptDim(ptr, v.ctensor, pow, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NormOut(out *Tensor, p *Scalar, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNormOut(ptr, out.ctensor, ts.ctensor, p.cscalar, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NormOut1(out *Tensor, p *Scalar, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNormOut1(ptr, out.ctensor, ts.ctensor, p.cscalar, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Normal_(mean float64, std float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNormal_(ptr, ts.ctensor, mean, std)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func NormalOut(out *Tensor, mean *Tensor, std float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNormalOut(ptr, out.ctensor, mean.ctensor, std)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func NormalOut1(out *Tensor, mean float64, std *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNormalOut1(ptr, out.ctensor, mean, std.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func NormalOut2(out *Tensor, mean *Tensor, std *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNormalOut2(ptr, out.ctensor, mean.ctensor, std.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func NormalOut3(out *Tensor, mean float64, std float64, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNormalOut3(ptr, out.ctensor, mean, std, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NotEqual(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNotEqual(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NotEqual1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNotEqual1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NotEqual_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNotEqual_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) NotEqual1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNotEqual1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) NotEqualOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNotEqualOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NotEqualOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNotEqualOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NuclearNorm(keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNuclearNorm(ptr, ts.ctensor, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NuclearNorm1(dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNuclearNorm1(ptr, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NuclearNormOut(out *Tensor, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNuclearNormOut(ptr, out.ctensor, ts.ctensor, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NuclearNormOut1(out *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgNuclearNormOut1(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) NumpyT(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgNumpyT(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) OneHot(numClasses int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOneHot(ptr, ts.ctensor, numClasses)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Ones(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOnes(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) OnesLike(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOnesLike(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func OnesOut(out *Tensor, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOnesOut(ptr, out.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Orgqr(input2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOrgqr(ptr, ts.ctensor, input2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) OrgqrOut(out *Tensor, input2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOrgqrOut(ptr, out.ctensor, ts.ctensor, input2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Ormqr(input2 *Tensor, input3 *Tensor, left bool, transpose bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cleft := int32(0)
	if left {
		cleft = int32(1)
	}
	ctranspose := int32(0)
	if transpose {
		ctranspose = int32(1)
	}
	lib.AtgOrmqr(ptr, ts.ctensor, input2.ctensor, input3.ctensor, cleft, ctranspose)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) OrmqrOut(out *Tensor, input2 *Tensor, input3 *Tensor, left bool, transpose bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cleft := int32(0)
	if left {
		cleft = int32(1)
	}
	ctranspose := int32(0)
	if transpose {
		ctranspose = int32(1)
	}
	lib.AtgOrmqrOut(ptr, out.ctensor, ts.ctensor, input2.ctensor, input3.ctensor, cleft, ctranspose)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Outer(vec2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOuter(ptr, ts.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) OuterOut(out *Tensor, vec2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgOuterOut(ptr, out.ctensor, ts.ctensor, vec2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func PairwiseDistance(x1 *Tensor, x2 *Tensor, p float64, eps float64, keepdim bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgPairwiseDistance(ptr, x1.ctensor, x2.ctensor, p, eps, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Pdist(p float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPdist(ptr, ts.ctensor, p)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Permute(dims []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPermute(ptr, ts.ctensor, dims, len(dims))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) PinMemory(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPinMemory(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Pinverse(rcond float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPinverse(ptr, ts.ctensor, rcond)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) PixelShuffle(upscaleFactor int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPixelShuffle(ptr, ts.ctensor, upscaleFactor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Poisson(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPoisson(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func PoissonNllLoss(input *Tensor, target *Tensor, logInput bool, full bool, eps float64, reduction int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	clogInput := int32(0)
	if logInput {
		clogInput = int32(1)
	}
	cfull := int32(0)
	if full {
		cfull = int32(1)
	}
	lib.AtgPoissonNllLoss(ptr, input.ctensor, target.ctensor, clogInput, cfull, eps, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Polar(abs *Tensor, angle *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPolar(ptr, abs.ctensor, angle.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func PolarOut(out *Tensor, abs *Tensor, angle *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPolarOut(ptr, out.ctensor, abs.ctensor, angle.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Polygamma(n int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPolygamma(ptr, n, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Polygamma_(n int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPolygamma_(ptr, ts.ctensor, n)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) PolygammaOut(out *Tensor, n int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPolygammaOut(ptr, out.ctensor, n, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Pow(exponent *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPow(ptr, ts.ctensor, exponent.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Pow1(exponent *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPow1(ptr, ts.ctensor, exponent.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Pow2(selfScalar *Scalar, exponent *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPow2(ptr, selfScalar.cscalar, exponent.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Pow_(exponent *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPow_(ptr, ts.ctensor, exponent.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Pow1_(exponent *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPow1_(ptr, ts.ctensor, exponent.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) PowOut(out *Tensor, exponent *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPowOut(ptr, out.ctensor, ts.ctensor, exponent.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) PowOut1(out *Tensor, exponent *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPowOut1(ptr, out.ctensor, ts.ctensor, exponent.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func PowOut2(out *Tensor, selfScalar *Scalar, exponent *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPowOut2(ptr, out.ctensor, selfScalar.cscalar, exponent.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Prelu(weight *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgPrelu(ptr, ts.ctensor, weight.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Prod(dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgProd(ptr, ts.ctensor, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Prod1(dim int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgProd1(ptr, ts.ctensor, dim, ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ProdOut(out *Tensor, dim int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgProdOut(ptr, out.ctensor, ts.ctensor, dim, ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Put_(index *Tensor, source *Tensor, accumulate bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	caccumulate := int32(0)
	if accumulate {
		caccumulate = int32(1)
	}
	lib.AtgPut_(ptr, ts.ctensor, index.ctensor, source.ctensor, caccumulate)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) QPerChannelScales(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQPerChannelScales(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QPerChannelZeroPoints(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQPerChannelZeroPoints(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Quantile(q float64, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgQuantile(ptr, ts.ctensor, q, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Quantile1(q *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgQuantile1(ptr, ts.ctensor, q.ctensor, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QuantileOut(out *Tensor, q float64, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgQuantileOut(ptr, out.ctensor, ts.ctensor, q, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QuantileOut1(out *Tensor, q *Tensor, dim []int64, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgQuantileOut1(ptr, out.ctensor, ts.ctensor, q.ctensor, cdimVal, cdimNull, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QuantizePerChannel(scales *Tensor, zeroPoints *Tensor, axis int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQuantizePerChannel(ptr, ts.ctensor, scales.ctensor, zeroPoints.ctensor, axis, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QuantizePerTensor(scale float64, zeroPoint int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQuantizePerTensor(ptr, ts.ctensor, scale, zeroPoint, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func QuantizedBatchNorm(input *Tensor, weight *Tensor, bias *Tensor, mean *Tensor, vari *Tensor, eps float64, outputScale float64, outputZeroPoint int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQuantizedBatchNorm(ptr, input.ctensor, weight.ctensor, bias.ctensor, mean.ctensor, vari.ctensor, eps, outputScale, outputZeroPoint)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func QuantizedGruCell(input *Tensor, hx *Tensor, wIh *Tensor, wHh *Tensor, bIh *Tensor, bHh *Tensor, packedIh *Tensor, packedHh *Tensor, colOffsetsIh *Tensor, colOffsetsHh *Tensor, scaleIh *Scalar, scaleHh *Scalar, zeroPointIh *Scalar, zeroPointHh *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQuantizedGruCell(ptr, input.ctensor, hx.ctensor, wIh.ctensor, wHh.ctensor, bIh.ctensor, bHh.ctensor, packedIh.ctensor, packedHh.ctensor, colOffsetsIh.ctensor, colOffsetsHh.ctensor, scaleIh.cscalar, scaleHh.cscalar, zeroPointIh.cscalar, zeroPointHh.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QuantizedMaxPool1d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgQuantizedMaxPool1d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) QuantizedMaxPool2d(kernelSize []int64, stride []int64, padding []int64, dilation []int64, ceilMode bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cceilMode := int32(0)
	if ceilMode {
		cceilMode = int32(1)
	}
	lib.AtgQuantizedMaxPool2d(ptr, ts.ctensor, kernelSize, len(kernelSize), stride, len(stride), padding, len(padding), dilation, len(dilation), cceilMode)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func QuantizedRnnReluCell(input *Tensor, hx *Tensor, wIh *Tensor, wHh *Tensor, bIh *Tensor, bHh *Tensor, packedIh *Tensor, packedHh *Tensor, colOffsetsIh *Tensor, colOffsetsHh *Tensor, scaleIh *Scalar, scaleHh *Scalar, zeroPointIh *Scalar, zeroPointHh *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQuantizedRnnReluCell(ptr, input.ctensor, hx.ctensor, wIh.ctensor, wHh.ctensor, bIh.ctensor, bHh.ctensor, packedIh.ctensor, packedHh.ctensor, colOffsetsIh.ctensor, colOffsetsHh.ctensor, scaleIh.cscalar, scaleHh.cscalar, zeroPointIh.cscalar, zeroPointHh.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func QuantizedRnnTanhCell(input *Tensor, hx *Tensor, wIh *Tensor, wHh *Tensor, bIh *Tensor, bHh *Tensor, packedIh *Tensor, packedHh *Tensor, colOffsetsIh *Tensor, colOffsetsHh *Tensor, scaleIh *Scalar, scaleHh *Scalar, zeroPointIh *Scalar, zeroPointHh *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgQuantizedRnnTanhCell(ptr, input.ctensor, hx.ctensor, wIh.ctensor, wHh.ctensor, bIh.ctensor, bHh.ctensor, packedIh.ctensor, packedHh.ctensor, colOffsetsIh.ctensor, colOffsetsHh.ctensor, scaleIh.cscalar, scaleHh.cscalar, zeroPointIh.cscalar, zeroPointHh.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rad2deg(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRad2deg(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rad2deg_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRad2deg_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Rad2degOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRad2degOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Rand(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRand(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RandLike(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandLike(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RandOut(out *Tensor, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandOut(ptr, out.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Randint(high int64, size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandint(ptr, high, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Randint1(low int64, high int64, size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandint1(ptr, low, high, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RandintLike(high int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandintLike(ptr, ts.ctensor, high)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RandintLike1(low int64, high int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandintLike1(ptr, ts.ctensor, low, high)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RandintOut(out *Tensor, high int64, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandintOut(ptr, out.ctensor, high, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RandintOut1(out *Tensor, low int64, high int64, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandintOut1(ptr, out.ctensor, low, high, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Randn(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandn(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RandnLike(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandnLike(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RandnOut(out *Tensor, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandnOut(ptr, out.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Random_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandom_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Random1_(to int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandom1_(ptr, ts.ctensor, to)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Random2(from int64, to []int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctoVal int64 = 0
	var ctoNull int = 1
	if len(to) > 0 {
		ctoVal = to[0]
		ctoNull = 0
	}
	lib.AtgRandom2(ptr, ts.ctensor, from, ctoVal, ctoNull)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func Randperm(n int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandperm(ptr, n, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RandpermOut(out *Tensor, n int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRandpermOut(ptr, out.ctensor, n)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Range(start *Scalar, end *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRange(ptr, start.cscalar, end.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Range1(start *Scalar, end *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRange1(ptr, start.cscalar, end.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RangeOut(out *Tensor, start *Scalar, end *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRangeOut(ptr, out.ctensor, start.cscalar, end.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Real(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReal(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Reciprocal(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReciprocal(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Reciprocal_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReciprocal_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ReciprocalOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReciprocalOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad1d(padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad1d(ptr, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad1dBackward(gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad1dBackward(ptr, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad1dBackwardOut(gradInput *Tensor, gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad1dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad1dOut(out *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad1dOut(ptr, out.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad2d(padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad2d(ptr, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad2dBackward(gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad2dBackward(ptr, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReflectionPad2dOut(out *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReflectionPad2dOut(ptr, out.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Relu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRelu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Relu_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRelu_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Remainder(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRemainder(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Remainder1(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRemainder1(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Remainder_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRemainder_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Remainder1_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRemainder1_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) RemainderOut(out *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRemainderOut(ptr, out.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RemainderOut1(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRemainderOut1(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Renorm(p *Scalar, dim int64, maxnorm *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRenorm(ptr, ts.ctensor, p.cscalar, dim, maxnorm.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Renorm_(p *Scalar, dim int64, maxnorm *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRenorm_(ptr, ts.ctensor, p.cscalar, dim, maxnorm.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) RenormOut(out *Tensor, p *Scalar, dim int64, maxnorm *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRenormOut(ptr, out.ctensor, ts.ctensor, p.cscalar, dim, maxnorm.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Repeat(repeats []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRepeat(ptr, ts.ctensor, repeats, len(repeats))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RepeatInterleave(repeats *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRepeatInterleave(ptr, repeats.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RepeatInterleave1(repeats *Tensor, dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	lib.AtgRepeatInterleave1(ptr, ts.ctensor, repeats.ctensor, cdimVal, cdimNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RepeatInterleave2(repeats int64, dim []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cdimVal int64 = 0
	var cdimNull int = 1
	if len(dim) > 0 {
		cdimVal = dim[0]
		cdimNull = 0
	}
	lib.AtgRepeatInterleave2(ptr, ts.ctensor, repeats, cdimVal, cdimNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad1d(padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad1d(ptr, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad1dBackward(gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad1dBackward(ptr, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad1dBackwardOut(gradInput *Tensor, gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad1dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad1dOut(out *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad1dOut(ptr, out.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad2d(padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad2d(ptr, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad2dBackward(gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad2dBackward(ptr, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad2dOut(out *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad2dOut(ptr, out.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad3d(padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad3d(ptr, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad3dBackward(gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad3dBackward(ptr, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReplicationPad3dOut(out *Tensor, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReplicationPad3dOut(ptr, out.ctensor, ts.ctensor, padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RequiresGrad_(requiresGrad bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	crequiresGrad := int32(0)
	if requiresGrad {
		crequiresGrad = int32(1)
	}
	lib.AtgRequiresGrad_(ptr, ts.ctensor, crequiresGrad)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Reshape(shape []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReshape(ptr, ts.ctensor, shape, len(shape))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ReshapeAs(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgReshapeAs(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Resize_(size []int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgResize_(ptr, ts.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ResizeAs_(theTemplate *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgResizeAs_(ptr, ts.ctensor, theTemplate.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Rfft(signalNdim int64, normalized bool, onesided bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	conesided := int32(0)
	if onesided {
		conesided = int32(1)
	}
	lib.AtgRfft(ptr, ts.ctensor, signalNdim, cnormalized, conesided)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RnnReluCell(input *Tensor, hx *Tensor, wIh *Tensor, wHh *Tensor, bIh *Tensor, bHh *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRnnReluCell(ptr, input.ctensor, hx.ctensor, wIh.ctensor, wHh.ctensor, bIh.ctensor, bHh.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func RnnTanhCell(input *Tensor, hx *Tensor, wIh *Tensor, wHh *Tensor, bIh *Tensor, bHh *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRnnTanhCell(ptr, input.ctensor, hx.ctensor, wIh.ctensor, wHh.ctensor, bIh.ctensor, bHh.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Roll(shifts []int64, dims []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRoll(ptr, ts.ctensor, shifts, len(shifts), dims, len(dims))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rot90(k int64, dims []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRot90(ptr, ts.ctensor, k, dims, len(dims))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Round(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRound(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Round_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRound_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) RoundOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRoundOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rrelu(training bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	lib.AtgRrelu(ptr, ts.ctensor, ctraining)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rrelu_(training bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	lib.AtgRrelu_(ptr, ts.ctensor, ctraining)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) RreluWithNoise(noise *Tensor, training bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	lib.AtgRreluWithNoise(ptr, ts.ctensor, noise.ctensor, ctraining)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RreluWithNoise_(noise *Tensor, training bool) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	lib.AtgRreluWithNoise_(ptr, ts.ctensor, noise.ctensor, ctraining)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) RreluWithNoiseBackward(gradOutput *Tensor, noise *Tensor, lower *Scalar, upper *Scalar, training bool, selfIsResult bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	cselfIsResult := int32(0)
	if selfIsResult {
		cselfIsResult = int32(1)
	}
	lib.AtgRreluWithNoiseBackward(ptr, gradOutput.ctensor, ts.ctensor, noise.ctensor, lower.cscalar, upper.cscalar, ctraining, cselfIsResult)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) RreluWithNoiseOut(out *Tensor, noise *Tensor, training bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ctraining := int32(0)
	if training {
		ctraining = int32(1)
	}
	lib.AtgRreluWithNoiseOut(ptr, out.ctensor, ts.ctensor, noise.ctensor, ctraining)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rsqrt(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRsqrt(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rsqrt_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRsqrt_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) RsqrtOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRsqrtOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rsub(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRsub(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Rsub1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgRsub1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ScalarTensor(s *Scalar, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScalarTensor(ptr, s.cscalar, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Scatter(dim int64, index *Tensor, src *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatter(ptr, ts.ctensor, dim, index.ctensor, src.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Scatter1(dim int64, index *Tensor, value *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatter1(ptr, ts.ctensor, dim, index.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Scatter_(dim int64, index *Tensor, src *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatter_(ptr, ts.ctensor, dim, index.ctensor, src.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Scatter1_(dim int64, index *Tensor, value *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatter1_(ptr, ts.ctensor, dim, index.ctensor, value.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Scatter2(dim int64, index *Tensor, src *Tensor, reduce string) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatter2(ptr, ts.ctensor, dim, index.ctensor, src.ctensor, reduce)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Scatter3(dim int64, index *Tensor, value *Scalar, reduce string) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatter3(ptr, ts.ctensor, dim, index.ctensor, value.cscalar, reduce)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ScatterAdd(dim int64, index *Tensor, src *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatterAdd(ptr, ts.ctensor, dim, index.ctensor, src.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ScatterAdd_(dim int64, index *Tensor, src *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgScatterAdd_(ptr, ts.ctensor, dim, index.ctensor, src.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Searchsorted(sortedSequence *Tensor, outInt32 bool, right bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	coutInt32 := int32(0)
	if outInt32 {
		coutInt32 = int32(1)
	}
	cright := int32(0)
	if right {
		cright = int32(1)
	}
	lib.AtgSearchsorted(ptr, sortedSequence.ctensor, ts.ctensor, coutInt32, cright)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Searchsorted1(sortedSequence *Tensor, selfScalar *Scalar, outInt32 bool, right bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	coutInt32 := int32(0)
	if outInt32 {
		coutInt32 = int32(1)
	}
	cright := int32(0)
	if right {
		cright = int32(1)
	}
	lib.AtgSearchsorted1(ptr, sortedSequence.ctensor, selfScalar.cscalar, coutInt32, cright)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SearchsortedOut(out *Tensor, sortedSequence *Tensor, outInt32 bool, right bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	coutInt32 := int32(0)
	if outInt32 {
		coutInt32 = int32(1)
	}
	cright := int32(0)
	if right {
		cright = int32(1)
	}
	lib.AtgSearchsortedOut(ptr, out.ctensor, sortedSequence.ctensor, ts.ctensor, coutInt32, cright)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Select(dim int64, index int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSelect(ptr, ts.ctensor, dim, index)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func SelectBackward(grad *Tensor, inputSizes []int64, dim int64, index int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSelectBackward(ptr, grad.ctensor, inputSizes, len(inputSizes), dim, index)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Selu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSelu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Selu_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSelu_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Set_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSet_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Set1_(source *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSet1_(ptr, ts.ctensor, source.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SetRequiresGrad(r bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cr := int32(0)
	if r {
		cr = int32(1)
	}
	lib.AtgSetRequiresGrad(ptr, ts.ctensor, cr)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sgn(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSgn(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sgn_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSgn_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SgnOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSgnOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sigmoid(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSigmoid(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sigmoid_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSigmoid_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func SigmoidBackward(gradOutput *Tensor, output *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSigmoidBackward(ptr, gradOutput.ctensor, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func SigmoidBackwardOut(gradInput *Tensor, gradOutput *Tensor, output *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSigmoidBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SigmoidOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSigmoidOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sign(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSign(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sign_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSign_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SignOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSignOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Signbit(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSignbit(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SignbitOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSignbitOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Silu(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSilu(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Silu_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSilu_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SiluBackward(gradOutput *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSiluBackward(ptr, gradOutput.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SiluOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSiluOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sin(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSin(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sin_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSin_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SinOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSinOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sinh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSinh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sinh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSinh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SinhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSinhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Slice(dim int64, start int64, end int64, step int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlice(ptr, ts.ctensor, dim, start, end, step)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func SliceBackward(grad *Tensor, inputSizes []int64, dim int64, start int64, end int64, step int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSliceBackward(ptr, grad.ctensor, inputSizes, len(inputSizes), dim, start, end, step)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConv3d(weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConv3d(ptr, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConv3dOut(out *Tensor, weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConv3dOut(ptr, out.ctensor, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConvDilated2d(weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, dilation []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConvDilated2d(ptr, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConvDilated3d(weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, dilation []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConvDilated3d(ptr, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding), dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConvTranspose2d(weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, dilation []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConvTranspose2d(ptr, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConvTranspose2dOut(out *Tensor, weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, dilation []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConvTranspose2dOut(ptr, out.ctensor, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConvTranspose3d(weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, dilation []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConvTranspose3d(ptr, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SlowConvTranspose3dOut(out *Tensor, weight *Tensor, kernelSize []int64, bias *Tensor, stride []int64, padding []int64, outputPadding []int64, dilation []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSlowConvTranspose3dOut(ptr, out.ctensor, ts.ctensor, weight.ctensor, kernelSize, len(kernelSize), bias.ctensor, stride, len(stride), padding, len(padding), outputPadding, len(outputPadding), dilation, len(dilation))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Smm(mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSmm(ptr, ts.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SmoothL1Loss(target *Tensor, reduction int64, beta float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSmoothL1Loss(ptr, ts.ctensor, target.ctensor, reduction, beta)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SmoothL1LossBackward(gradOutput *Tensor, target *Tensor, reduction int64, beta float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSmoothL1LossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction, beta)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SmoothL1LossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, reduction int64, beta float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSmoothL1LossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction, beta)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SmoothL1LossOut(out *Tensor, target *Tensor, reduction int64, beta float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSmoothL1LossOut(ptr, out.ctensor, ts.ctensor, target.ctensor, reduction, beta)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftMarginLoss(target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftMarginLoss(ptr, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftMarginLossBackward(gradOutput *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftMarginLossBackward(ptr, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftMarginLossBackwardOut(gradInput *Tensor, gradOutput *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftMarginLossBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftMarginLossOut(out *Tensor, target *Tensor, reduction int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftMarginLossOut(ptr, out.ctensor, ts.ctensor, target.ctensor, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Softmax(dim int64, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftmax(ptr, ts.ctensor, dim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Softplus(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftplus(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftplusBackward(gradOutput *Tensor, beta *Scalar, threshold *Scalar, output *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftplusBackward(ptr, gradOutput.ctensor, ts.ctensor, beta.cscalar, threshold.cscalar, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftplusBackwardOut(gradInput *Tensor, gradOutput *Tensor, beta *Scalar, threshold *Scalar, output *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftplusBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, beta.cscalar, threshold.cscalar, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftplusOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftplusOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Softshrink(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftshrink(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftshrinkBackward(gradOutput *Tensor, lambd *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftshrinkBackward(ptr, gradOutput.ctensor, ts.ctensor, lambd.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftshrinkBackwardOut(gradInput *Tensor, gradOutput *Tensor, lambd *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftshrinkBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, ts.ctensor, lambd.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SoftshrinkOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSoftshrinkOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func SparseCooTensor(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSparseCooTensor(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func SparseCooTensor1(indices *Tensor, values *Tensor, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSparseCooTensor1(ptr, indices.ctensor, values.ctensor, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func SparseCooTensor2(indices *Tensor, values *Tensor, size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSparseCooTensor2(ptr, indices.ctensor, values.ctensor, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SparseMask(mask *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSparseMask(ptr, ts.ctensor, mask.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SparseResize_(size []int64, sparseDim int64, denseDim int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSparseResize_(ptr, ts.ctensor, size, len(size), sparseDim, denseDim)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SparseResizeAndClear_(size []int64, sparseDim int64, denseDim int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSparseResizeAndClear_(ptr, ts.ctensor, size, len(size), sparseDim, denseDim)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Sqrt(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqrt(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sqrt_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqrt_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SqrtOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqrtOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Square(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSquare(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Square_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSquare_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Squeeze(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqueeze(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Squeeze1(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqueeze1(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Squeeze_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqueeze_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Squeeze1_(dim int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSqueeze1_(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Sspaddmm(mat1 *Tensor, mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSspaddmm(ptr, ts.ctensor, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SspaddmmOut(out *Tensor, mat1 *Tensor, mat2 *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSspaddmmOut(ptr, out.ctensor, ts.ctensor, mat1.ctensor, mat2.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Stack(tensors []Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgStack(ptr, ctensors, len(ctensors), dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func StackOut(out *Tensor, tensors []Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgStackOut(ptr, out.ctensor, ctensors, len(ctensors), dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Std(unbiased bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	lib.AtgStd(ptr, ts.ctensor, cunbiased)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Std1(dim []int64, unbiased bool, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgStd1(ptr, ts.ctensor, dim, len(dim), cunbiased, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) StdOut(out *Tensor, dim []int64, unbiased bool, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgStdOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), cunbiased, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Stft(nFft int64, hopLength []int64, winLength []int64, window *Tensor, normalized bool, onesided bool, returnComplex bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var chopLengthVal int64 = 0
	var chopLengthNull int = 1
	if len(hopLength) > 0 {
		chopLengthVal = hopLength[0]
		chopLengthNull = 0
	}
	var cwinLengthVal int64 = 0
	var cwinLengthNull int = 1
	if len(winLength) > 0 {
		cwinLengthVal = winLength[0]
		cwinLengthNull = 0
	}
	cnormalized := int32(0)
	if normalized {
		cnormalized = int32(1)
	}
	conesided := int32(0)
	if onesided {
		conesided = int32(1)
	}
	creturnComplex := int32(0)
	if returnComplex {
		creturnComplex = int32(1)
	}
	lib.AtgStft(ptr, ts.ctensor, nFft, chopLengthVal, chopLengthNull, cwinLengthVal, cwinLengthNull, window.ctensor, cnormalized, conesided, creturnComplex)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sub(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSub(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sub1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSub1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sub_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSub_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Sub1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSub1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SubOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSubOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Subtract(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSubtract(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Subtract1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSubtract1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Subtract_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSubtract_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Subtract1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSubtract1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) SubtractOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSubtractOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sum(dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSum(ptr, ts.ctensor, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Sum1(dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgSum1(ptr, ts.ctensor, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SumOut(out *Tensor, dim []int64, keepdim bool, dtype gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgSumOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), ckeepdim, dtype.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) SumToSize(size []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgSumToSize(ptr, ts.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) T(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgT(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) T_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgT_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Take(index *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTake(ptr, ts.ctensor, index.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func TakeBackward(grad *Tensor, input *Tensor, index *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTakeBackward(ptr, grad.ctensor, input.ctensor, index.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TakeOut(out *Tensor, index *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTakeOut(ptr, out.ctensor, ts.ctensor, index.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tan(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTan(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tan_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTan_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) TanOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTanOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tanh(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTanh(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tanh_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTanh_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func TanhBackward(gradOutput *Tensor, output *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTanhBackward(ptr, gradOutput.ctensor, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func TanhBackwardOut(gradInput *Tensor, gradOutput *Tensor, output *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTanhBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, output.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TanhOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTanhOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tensordot(other *Tensor, dimsSelf []int64, dimsOther []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTensordot(ptr, ts.ctensor, other.ctensor, dimsSelf, len(dimsSelf), dimsOther, len(dimsOther))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Threshold(threshold *Scalar, value *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgThreshold(ptr, ts.ctensor, threshold.cscalar, value.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Threshold_(threshold *Scalar, value *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgThreshold_(ptr, ts.ctensor, threshold.cscalar, value.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) ThresholdBackward(gradOutput *Tensor, threshold *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgThresholdBackward(ptr, gradOutput.ctensor, ts.ctensor, threshold.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ThresholdOut(out *Tensor, threshold *Scalar, value *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgThresholdOut(ptr, out.ctensor, ts.ctensor, threshold.cscalar, value.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) To(device gotch.Device, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTo(ptr, ts.ctensor, device.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) To1(optionsKind gotch.DType, optionsDevice gotch.Device, nonBlocking bool, copy bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	ccopy := int32(0)
	if copy {
		ccopy = int32(1)
	}
	lib.AtgTo1(ptr, ts.ctensor, optionsKind.CInt(), optionsDevice.CInt(), cnonBlocking, ccopy)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) To2(dtype gotch.DType, nonBlocking bool, copy bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	ccopy := int32(0)
	if copy {
		ccopy = int32(1)
	}
	lib.AtgTo2(ptr, ts.ctensor, dtype.CInt(), cnonBlocking, ccopy)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) To3(other *Tensor, nonBlocking bool, copy bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	ccopy := int32(0)
	if copy {
		ccopy = int32(1)
	}
	lib.AtgTo3(ptr, ts.ctensor, other.ctensor, cnonBlocking, ccopy)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) To4(device gotch.Device, dtype gotch.DType, nonBlocking bool, copy bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cnonBlocking := int32(0)
	if nonBlocking {
		cnonBlocking = int32(1)
	}
	ccopy := int32(0)
	if copy {
		ccopy = int32(1)
	}
	lib.AtgTo4(ptr, ts.ctensor, device.CInt(), dtype.CInt(), cnonBlocking, ccopy)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ToDense(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgToDense(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ToDenseBackward(grad *Tensor, input *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgToDenseBackward(ptr, grad.ctensor, input.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ToMkldnn(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgToMkldnn(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ToMkldnnBackward(grad *Tensor, input *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgToMkldnnBackward(ptr, grad.ctensor, input.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ToSparse(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgToSparse(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ToSparse1(sparseDim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgToSparse1(ptr, ts.ctensor, sparseDim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Totype(scalarType gotch.DType, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTotype(ptr, ts.ctensor, scalarType.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Trace(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrace(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func TraceBackward(grad *Tensor, sizes []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTraceBackward(ptr, grad.ctensor, sizes, len(sizes))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Transpose(dim0 int64, dim1 int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTranspose(ptr, ts.ctensor, dim0, dim1)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Transpose_(dim0 int64, dim1 int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTranspose_(ptr, ts.ctensor, dim0, dim1)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func Trapz(y *Tensor, x *Tensor, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrapz(ptr, y.ctensor, x.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Trapz1(y *Tensor, dx float64, dim int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrapz1(ptr, y.ctensor, dx, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tril(diagonal int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTril(ptr, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Tril_(diagonal int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTril_(ptr, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func TrilIndices(row int64, col int64, offset int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrilIndices(ptr, row, col, offset, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TrilOut(out *Tensor, diagonal int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrilOut(ptr, out.ctensor, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func TripletMarginLoss(anchor *Tensor, positive *Tensor, negative *Tensor, margin float64, p float64, eps float64, swap bool, reduction int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cswap := int32(0)
	if swap {
		cswap = int32(1)
	}
	lib.AtgTripletMarginLoss(ptr, anchor.ctensor, positive.ctensor, negative.ctensor, margin, p, eps, cswap, reduction)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Triu(diagonal int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTriu(ptr, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Triu_(diagonal int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTriu_(ptr, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func TriuIndices(row int64, col int64, offset int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTriuIndices(ptr, row, col, offset, optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TriuOut(out *Tensor, diagonal int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTriuOut(ptr, out.ctensor, ts.ctensor, diagonal)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TrueDivide(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrueDivide(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TrueDivide1(other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrueDivide1(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TrueDivide_(other *Tensor) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrueDivide_(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) TrueDivide1_(other *Scalar) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrueDivide1_(ptr, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) TrueDivideOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrueDivideOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Trunc(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrunc(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Trunc_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTrunc_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) TruncOut(out *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTruncOut(ptr, out.ctensor, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) TypeAs(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgTypeAs(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Unflatten(dim int64, sizes []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgUnflatten(ptr, ts.ctensor, dim, sizes, len(sizes))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Unfold(dimension int64, size int64, step int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgUnfold(ptr, ts.ctensor, dimension, size, step)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UnfoldBackward(gradIn *Tensor, inputSizes []int64, dim int64, size int64, step int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgUnfoldBackward(ptr, gradIn.ctensor, inputSizes, len(inputSizes), dim, size, step)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Uniform_(from float64, to float64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgUniform_(ptr, ts.ctensor, from, to)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) Unsqueeze(dim int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgUnsqueeze(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Unsqueeze_(dim int64) (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgUnsqueeze_(ptr, ts.ctensor, dim)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func (ts *Tensor) UpsampleBicubic2d(outputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBicubic2d(ptr, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleBicubic2dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBicubic2dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleBicubic2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBicubic2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleBicubic2dOut(out *Tensor, outputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBicubic2dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleBilinear2d(outputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBilinear2d(ptr, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleBilinear2dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBilinear2dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleBilinear2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBilinear2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleBilinear2dOut(out *Tensor, outputSize []int64, alignCorners bool, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleBilinear2dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleLinear1d(outputSize []int64, alignCorners bool, scales []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleLinear1d(ptr, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleLinear1dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scales []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleLinear1dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleLinear1dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scales []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleLinear1dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleLinear1dOut(out *Tensor, outputSize []int64, alignCorners bool, scales []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleLinear1dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleNearest1d(outputSize []int64, scales []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleNearest1d(ptr, ts.ctensor, outputSize, len(outputSize), cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleNearest1dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, scales []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleNearest1dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleNearest1dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, scales []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleNearest1dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleNearest1dOut(out *Tensor, outputSize []int64, scales []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesVal float64 = 0.0
	var cscalesNull int = 1
	if len(scales) > 0 {
		cscalesVal = scales[0]
		cscalesNull = 0
	}
	lib.AtgUpsampleNearest1dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), cscalesVal, cscalesNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleNearest2d(outputSize []int64, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest2d(ptr, ts.ctensor, outputSize, len(outputSize), cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleNearest2dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest2dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleNearest2dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest2dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleNearest2dOut(out *Tensor, outputSize []int64, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest2dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleNearest3d(outputSize []int64, scalesD []float64, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest3d(ptr, ts.ctensor, outputSize, len(outputSize), cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleNearest3dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, scalesD []float64, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest3dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleNearest3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, scalesD []float64, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleNearest3dOut(out *Tensor, outputSize []int64, scalesD []float64, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleNearest3dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleTrilinear3d(outputSize []int64, alignCorners bool, scalesD []float64, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleTrilinear3d(ptr, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleTrilinear3dBackward(gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scalesD []float64, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleTrilinear3dBackward(ptr, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func UpsampleTrilinear3dBackwardOut(gradInput *Tensor, gradOutput *Tensor, outputSize []int64, inputSize []int64, alignCorners bool, scalesD []float64, scalesH []float64, scalesW []float64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleTrilinear3dBackwardOut(ptr, gradInput.ctensor, gradOutput.ctensor, outputSize, len(outputSize), inputSize, len(inputSize), calignCorners, cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) UpsampleTrilinear3dOut(out *Tensor, outputSize []int64, alignCorners bool, scalesD []float64, scalesH []float64, scalesW []float64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	calignCorners := int32(0)
	if alignCorners {
		calignCorners = int32(1)
	}
	var cscalesDVal float64 = 0.0
	var cscalesDNull int = 1
	if len(scalesD) > 0 {
		cscalesDVal = scalesD[0]
		cscalesDNull = 0
	}
	var cscalesHVal float64 = 0.0
	var cscalesHNull int = 1
	if len(scalesH) > 0 {
		cscalesHVal = scalesH[0]
		cscalesHNull = 0
	}
	var cscalesWVal float64 = 0.0
	var cscalesWNull int = 1
	if len(scalesW) > 0 {
		cscalesWVal = scalesW[0]
		cscalesWNull = 0
	}
	lib.AtgUpsampleTrilinear3dOut(ptr, out.ctensor, ts.ctensor, outputSize, len(outputSize), calignCorners, cscalesDVal, cscalesDNull, cscalesHVal, cscalesHNull, cscalesWVal, cscalesWNull)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ValueSelectingReductionBackward(grad *Tensor, dim int64, indices *Tensor, sizes []int64, keepdim bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgValueSelectingReductionBackward(ptr, grad.ctensor, dim, indices.ctensor, sizes, len(sizes), ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Values(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgValues(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Vander(x *Tensor, n []int64, increasing bool) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var cnVal int64 = 0
	var cnNull int = 1
	if len(n) > 0 {
		cnVal = n[0]
		cnNull = 0
	}
	cincreasing := int32(0)
	if increasing {
		cincreasing = int32(1)
	}
	lib.AtgVander(ptr, x.ctensor, cnVal, cnNull, cincreasing)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Var(unbiased bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	lib.AtgVar(ptr, ts.ctensor, cunbiased)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Var1(dim []int64, unbiased bool, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgVar1(ptr, ts.ctensor, dim, len(dim), cunbiased, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) VarOut(out *Tensor, dim []int64, unbiased bool, keepdim bool, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	cunbiased := int32(0)
	if unbiased {
		cunbiased = int32(1)
	}
	ckeepdim := int32(0)
	if keepdim {
		ckeepdim = int32(1)
	}
	lib.AtgVarOut(ptr, out.ctensor, ts.ctensor, dim, len(dim), cunbiased, ckeepdim)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Vdot(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgVdot(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) VdotOut(out *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgVdotOut(ptr, out.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) View(size []int64, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgView(ptr, ts.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ViewAs(other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgViewAs(ptr, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ViewAsComplex(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgViewAsComplex(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ViewAsReal(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgViewAsReal(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Vstack(tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgVstack(ptr, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func VstackOut(out *Tensor, tensors []Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	var ctensors []lib.Ctensor
	for _, t := range tensors {
		ctensors = append(ctensors, t.ctensor)
	}
	lib.AtgVstackOut(ptr, out.ctensor, ctensors, len(ctensors))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Where1(condition *Tensor, other *Tensor, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgWhere1(ptr, condition.ctensor, ts.ctensor, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Where2(condition *Tensor, selfScalar *Scalar, other *Tensor) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgWhere2(ptr, condition.ctensor, selfScalar.cscalar, other.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Where3(condition *Tensor, other *Scalar, del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgWhere3(ptr, condition.ctensor, ts.ctensor, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func Where4(condition *Tensor, selfScalar *Scalar, other *Scalar) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgWhere4(ptr, condition.ctensor, selfScalar.cscalar, other.cscalar)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) Zero_() (err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgZero_(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return err
	}

	return err
}

func Zeros(size []int64, optionsKind gotch.DType, optionsDevice gotch.Device) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgZeros(ptr, size, len(size), optionsKind.CInt(), optionsDevice.CInt())
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func (ts *Tensor) ZerosLike(del bool) (retVal *Tensor, err error) {
	if del {
		defer ts.MustDrop()
	}
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgZerosLike(ptr, ts.ctensor)
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

func ZerosOut(out *Tensor, size []int64) (retVal *Tensor, err error) {
	ptr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))

	lib.AtgZerosOut(ptr, out.ctensor, size, len(size))
	if err = TorchErr(); err != nil {
		return retVal, err
	}
	retVal = &Tensor{ctensor: *ptr}

	return retVal, err
}

// End of implementing Tensor =================================