121 lines
2.7 KiB
Go
121 lines
2.7 KiB
Go
package tensor_test
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import (
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"reflect"
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"testing"
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"github.com/sugarme/gotch"
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ts "github.com/sugarme/gotch/tensor"
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)
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func TestTensorInit(t *testing.T) {
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tensor := ts.MustArange1(ts.IntScalar(1), ts.IntScalar(5), gotch.Int64, gotch.CPU)
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want := []float64{1, 2, 3, 4}
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got := tensor.Float64Values()
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if !reflect.DeepEqual(want, got) {
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t.Errorf("Expected tensor values: %v\n", want)
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t.Errorf("Got tensor values: %v\n", got)
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}
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}
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func TestInplaceAssign(t *testing.T) {
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tensor := ts.MustOfSlice([]int64{3, 1, 4, 1, 5})
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tensor.MustAdd1_(ts.IntScalar(1))
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tensor.MustMul1_(ts.IntScalar(2))
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tensor.MustSub1_(ts.IntScalar(1))
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want := []int64{7, 3, 9, 3, 11}
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got := tensor.Vals()
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if !reflect.DeepEqual(want, got) {
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t.Errorf("Expected tensor values: %v\n", want)
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t.Errorf("Got tensor values: %v\n", got)
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}
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}
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func TestConstantOp(t *testing.T) {
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tensor := ts.MustOfSlice([]int64{3, 9, 3, 11})
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resTs1 := tensor.MustMul1(ts.IntScalar(-1), true)
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want1 := []int64{-3, -9, -3, -11}
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got1 := resTs1.Vals()
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if !reflect.DeepEqual(want1, got1) {
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t.Errorf("Expected tensor values: %v\n", want1)
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t.Errorf("Got tensor values: %v\n", got1)
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}
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// TODO: more ops
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}
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func TestIter(t *testing.T) {
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tensor := ts.MustOfSlice([]int64{3, 9, 3, 11})
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iter, err := tensor.Iter(gotch.Int64)
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if err != nil {
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panic(err)
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}
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want := []int64{3, 9, 3, 11}
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var got []int64
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for {
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item, ok := iter.Next()
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if !ok {
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break
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}
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got = append(got, item.(int64))
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}
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if !reflect.DeepEqual(want, got) {
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t.Errorf("Expected tensor values: %v\n", want)
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t.Errorf("Got tensor values: %v\n", got)
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}
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tensor1 := ts.MustOfSlice([]float64{3.14, 15.926, 5.3589, 79.0})
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iter1, err := tensor1.Iter(gotch.Double)
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want1 := []float64{3.14, 15.926, 5.3589, 79.0}
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var got1 []float64
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for {
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item, ok := iter1.Next()
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if !ok {
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break
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}
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got1 = append(got1, item.(float64))
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}
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if !reflect.DeepEqual(want1, got1) {
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t.Errorf("Expected tensor values: %v\n", want1)
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t.Errorf("Got tensor values: %v\n", got1)
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}
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}
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func TestOnehot(t *testing.T) {
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xs := ts.MustOfSlice([]int64{0, 1, 2, 3}).MustView([]int64{2, 2}, true)
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onehot := xs.Onehot(4)
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want := []float64{1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0}
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got := onehot.Float64Values()
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if !reflect.DeepEqual(want, got) {
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t.Errorf("Expected onehot tensor values: %v\n", want)
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t.Errorf("Got onehot tensor values: %v\n", got)
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}
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}
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/*
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* let xs = Tensor::of_slice(&[0, 1, 2, 3]);
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* let onehot = xs.onehot(4);
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* assert_eq!(
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* Vec::<f64>::from(&onehot),
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* vec![1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0]
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* );
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* assert_eq!(onehot.size(), vec![4, 4]) */
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