WIP(patch): AtgSplit func
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@ -60,7 +60,7 @@ func AtTensorOfData(vs unsafe.Pointer, dims []int64, ndims uint, elt_size_in_byt
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## Function Return
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### `void *`
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### `void *CFUNC(...)`
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```c
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void *at_data_ptr(tensor);
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@ -84,6 +84,69 @@ then in the return of function body
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return &C_tensor{private: unsafe.Pointer(t)}
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```
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### `tensor *CFUNC(...)`
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The pattern of **return tensor pointer**: `tensor *atg_FUNCTION_NAME()`.
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The returning tensor pointer actually is the FIRST element of a vector of C tensor pointers.
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Next pointer will be calculated from the first. In C land, verifying a valid pointer is
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to check whether it points to **NULL**.
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```c
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tensor *atg_split(tensor self, int64_t split_size, int64_t dim);
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```
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```go
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// Wrapper
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func AtgSplit(self Ctensor, splitSize int64, dim int64) *Ctensor {
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csplitSize := *(*C.int64_t)(unsafe.Pointer(&splitSize))
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cdim := *(*C.int64_t)(unsafe.Pointer(&dim))
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return C.atg_split(self, csplitSize, cdim)
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}
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// API
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// Split splits tensor into chunks
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//
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// Parameters:
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// - splitSize – size of a single chunk or list of sizes for each chunk
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// - dim – dimension along which to split the tensor.
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// Ref. https://pytorch.org/docs/stable/generated/torch.split.html
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func (ts Tensor) Split(splitSize, dim int64) (retVal []Tensor, err error) {
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ctensorsPtr := lib.AtgSplit(ts.ctensor, splitSize, dim)
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if err = TorchErr(); err != nil {
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return retVal, err
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}
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// NOTE: ctensorsPtr is a c-pointer to a vector of tensors. The first
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// C tensor is the `ctensorsPtr` value. The next pointer will be
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// calculated from there. The vector of tensors will end if the calculated
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// pointer value is `null`.
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currentPtr := ctensorsPtr
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retVal = append(retVal, Tensor{ctensor: *currentPtr})
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for {
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// calculate the next pointer value
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nextPtr := (*lib.Ctensor)(unsafe.Pointer(uintptr(unsafe.Pointer(currentPtr)) + unsafe.Sizeof(currentPtr)))
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if *nextPtr == nil {
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break
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}
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retVal = append(retVal, Tensor{ctensor: *nextPtr})
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currentPtr = nextPtr
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}
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return retVal, nil
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}
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```
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### C types e.g. `C_ulong` -> Go equivalent types `uint64`
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then in the return of function body
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88
libtch/patch.go
Normal file
88
libtch/patch.go
Normal file
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@ -0,0 +1,88 @@
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package libtch
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// NOTE. This file is a patch of missing auto-generated APIs in `c-generated.go`
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//#include "stdbool.h"
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//#include "torch_api.h"
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import "C"
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import "unsafe"
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// NOTE: 9 patches for pattern of **return tensor pointer**: `tensor *atg_FUNCTION_NAME()`:
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// tensor *atg_align_tensors(tensor *tensors_data, int tensors_len);
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// tensor *atg_broadcast_tensors(tensor *tensors_data, int tensors_len);
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// tensor *atg_chunk(tensor self, int64_t chunks, int64_t dim);
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// tensor *atg_meshgrid(tensor *tensors_data, int tensors_len);
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// tensor *atg_nonzero_numpy(tensor self);
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// tensor *atg_split(tensor self, int64_t split_size, int64_t dim);
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// tensor *atg_split_with_sizes(tensor self, int64_t *split_sizes_data, int split_sizes_len, int64_t dim);
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// tensor *atg_unbind(tensor self, int64_t dim);
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// tensor *atg_where(tensor condition);
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// tensor *atg_align_tensors(tensor *tensors_data, int tensors_len);
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func AtgAlignTensors(tensorsData []Ctensor, tensorsLen int) *Ctensor {
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ctensorsDataPtr := (*Ctensor)(unsafe.Pointer(&tensorsData[0]))
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ctensorsLen := *(*C.int)(unsafe.Pointer(&tensorsLen))
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return C.atg_align_tensors(ctensorsDataPtr, ctensorsLen)
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}
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// tensor *atg_broadcast_tensors(tensor *tensors_data, int tensors_len);
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func AtgBroadcastTensors(tensorsData []Ctensor, tensorsLen int) *Ctensor {
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ctensorsDataPtr := (*Ctensor)(unsafe.Pointer(&tensorsData[0]))
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ctensorsLen := *(*C.int)(unsafe.Pointer(&tensorsLen))
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return C.atg_broadcast_tensors(ctensorsDataPtr, ctensorsLen)
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}
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// tensor *atg_chunk(tensor self, int64_t chunks, int64_t dim);
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func AtgChunk(self Ctensor, chunks int64, dim int64) *Ctensor {
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cchunks := *(*C.int64_t)(unsafe.Pointer(&chunks))
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cdim := *(*C.int64_t)(unsafe.Pointer(&dim))
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return C.atg_chunk(self, cchunks, cdim)
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}
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// tensor *atg_meshgrid(tensor *tensors_data, int tensors_len);
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func AtgMeshgrid(tensorsData []Ctensor, tensorsLen int) *Ctensor {
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ctensorsDataPtr := (*Ctensor)(unsafe.Pointer(&tensorsData[0]))
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ctensorsLen := *(*C.int)(unsafe.Pointer(&tensorsLen))
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return C.atg_meshgrid(ctensorsDataPtr, ctensorsLen)
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}
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// tensor *atg_nonzero_numpy(tensor self);
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func AtgNonzeroNumpy(self Ctensor) *Ctensor {
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return C.atg_nonzero_numpy(self)
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}
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// tensor *atg_split(tensor self, int64_t split_size, int64_t dim);
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func AtgSplit(self Ctensor, splitSize int64, dim int64) *Ctensor {
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csplitSize := *(*C.int64_t)(unsafe.Pointer(&splitSize))
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cdim := *(*C.int64_t)(unsafe.Pointer(&dim))
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return C.atg_split(self, csplitSize, cdim)
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}
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// tensor *atg_split_with_sizes(tensor self, int64_t *split_sizes_data, int split_sizes_len, int64_t dim);
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func AtgSplitWithSizes(self Ctensor, splitSizesData []int64, splitSizesLen int, dim int64) *Ctensor {
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csplitSizesDataPtr := (*C.int64_t)(unsafe.Pointer(&splitSizesData[0]))
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csplitSizesLen := *(*C.int)(unsafe.Pointer(&splitSizesLen))
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cdim := *(*C.int64_t)(unsafe.Pointer(&dim))
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return C.atg_split_with_sizes(self, csplitSizesDataPtr, csplitSizesLen, cdim)
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}
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// tensor *atg_unbind(tensor self, int64_t dim);
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func AtgUnbind(self Ctensor, dim int64) *Ctensor {
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cdim := *(*C.int64_t)(unsafe.Pointer(&dim))
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return C.atg_unbind(self, cdim)
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}
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// tensor *atg_where(tensor condition);
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func AtgWhere(condition Ctensor) *Ctensor {
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return C.atg_where(condition)
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}
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@ -4,6 +4,7 @@ package tensor
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import "C"
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import (
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"fmt"
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"log"
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"unsafe"
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@ -183,3 +184,65 @@ func (ts Tensor) MustNLLLoss(target Tensor, del bool) (retVal Tensor) {
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return retVal
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}
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// NOTE: the following 9 APIs are missing from `tensor-generated.go` with
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// pattern of **return tensor pointer**: `tensor *atg_FUNCTION_NAME()`.
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// The returning tensor pointer actually is the FIRST element of a vector
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// of C tensor pointers. Next pointer will be calculated from the first.
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// In C land, verifying a valid pointer is to check whether it points to **NULL**.
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//
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// tensor *atg_align_tensors(tensor *tensors_data, int tensors_len);
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// tensor *atg_broadcast_tensors(tensor *tensors_data, int tensors_len);
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// tensor *atg_chunk(tensor self, int64_t chunks, int64_t dim);
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// tensor *atg_meshgrid(tensor *tensors_data, int tensors_len);
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// tensor *atg_nonzero_numpy(tensor self);
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// tensor *atg_split(tensor self, int64_t split_size, int64_t dim);
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// tensor *atg_split_with_sizes(tensor self, int64_t *split_sizes_data, int split_sizes_len, int64_t dim);
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// tensor *atg_unbind(tensor self, int64_t dim);
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// tensor *atg_where(tensor condition);
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// Split splits tensor into chunks
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//
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// Parameters:
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// - splitSize – size of a single chunk or list of sizes for each chunk
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// - dim – dimension along which to split the tensor.
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// Ref. https://pytorch.org/docs/stable/generated/torch.split.html
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func (ts Tensor) Split(splitSize, dim int64) (retVal []Tensor, err error) {
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ctensorsPtr := lib.AtgSplit(ts.ctensor, splitSize, dim)
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if err = TorchErr(); err != nil {
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return retVal, err
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}
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// NOTE: ctensorsPtr is a c-pointer to a vector of tensors. The first
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// C tensor is the `ctensorsPtr` value. The next pointer will be
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// calculated from there. The vector of tensors will end if the calculated
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// pointer value is `null`.
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currentPtr := ctensorsPtr
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retVal = append(retVal, Tensor{ctensor: *currentPtr})
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for {
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// calculate the next pointer value
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nextPtr := (*lib.Ctensor)(unsafe.Pointer(uintptr(unsafe.Pointer(currentPtr)) + unsafe.Sizeof(currentPtr)))
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if *nextPtr == nil {
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break
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}
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retVal = append(retVal, Tensor{ctensor: *nextPtr})
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currentPtr = nextPtr
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}
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return retVal, nil
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}
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func (ts Tensor) MustSplit(splitSize, dim int64, del bool) (retVal []Tensor) {
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if del {
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defer ts.MustDrop()
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}
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retVal, err := ts.Split(splitSize, dim)
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if err != nil {
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log.Fatal(err)
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}
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return retVal
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}
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