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// Copyright 2020 NLP Odyssey Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package pytorch
import (
"fmt"
"path"
"testing"
)
func TestFloat16Tensors(t *testing.T) { // Half
for _, filename := range makeFilenames("tensor_float16") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*HalfStorage)
if !fsOk {
t.Fatalf("expected *HalfStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertFloat32SliceEqual(t, fs.Data, []float32{1.2, -3.4, 5.6, -7.8}, 0.002)
})
}
}
func TestFloat32Tensors(t *testing.T) { // Float
for _, filename := range makeFilenames("tensor_float32") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*FloatStorage)
if !fsOk {
t.Fatalf("expected *FloatStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertFloat32SliceEqual(t, fs.Data, []float32{1.2, -3.4, 5.6, -7.8}, 0.0)
})
}
}
func TestFloat64Tensors(t *testing.T) { // Double
for _, filename := range makeFilenames("tensor_float64") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*DoubleStorage)
if !fsOk {
t.Fatalf("expected *DoubleStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertFloat64SliceEqual(t, fs.Data, []float64{1.2, -3.4, 5.6, -7.8}, 0.0)
})
}
}
func TestInt8Tensors(t *testing.T) { // Char
for _, filename := range makeFilenames("tensor_int8") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*CharStorage)
if !fsOk {
t.Fatalf("expected *CharStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertInt8SliceEqual(t, fs.Data, []int8{1, -2, 3, -4})
})
}
}
func TestInt16Tensors(t *testing.T) { // Short
for _, filename := range makeFilenames("tensor_int16") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*ShortStorage)
if !fsOk {
t.Fatalf("expected *ShortStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertInt16SliceEqual(t, fs.Data, []int16{1, -2, 3, -4})
})
}
}
func TestInt32Tensors(t *testing.T) { // Int
for _, filename := range makeFilenames("tensor_int32") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*IntStorage)
if !fsOk {
t.Fatalf("expected *IntStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertInt32SliceEqual(t, fs.Data, []int32{1, -2, 3, -4})
})
}
}
func TestInt64Tensors(t *testing.T) { // Long
for _, filename := range makeFilenames("tensor_int64") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*LongStorage)
if !fsOk {
t.Fatalf("expected *LongStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertInt64SliceEqual(t, fs.Data, []int64{1, -2, 3, -4})
})
}
}
func TestUInt8Tensors(t *testing.T) { // Byte
for _, filename := range makeFilenames("tensor_uint8") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*ByteStorage)
if !fsOk {
t.Fatalf("expected *ByteStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertUInt8SliceEqual(t, fs.Data, []uint8{1, 10, 100, 255})
})
}
}
func TestBoolTensors(t *testing.T) {
for _, filename := range makeFilenames("tensor_bool") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*BoolStorage)
if !fsOk {
t.Fatalf("expected *ByteStorage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertBoolSliceEqual(t, fs.Data, []bool{true, false, true, false})
})
}
}
func TestBFloat16Tensors(t *testing.T) { // Float
for _, filename := range makeFilenames("tensor_bfloat16") {
t.Run(filename, func(t *testing.T) {
tensor := loadTensorFromFile(t, filename)
assertCommonTensorFields(t, tensor)
fs, fsOk := tensor.Source.(*BFloat16Storage)
if !fsOk {
t.Fatalf("expected *BFloat16Storage, got %#v", tensor.Source)
}
assertBaseStorageFields(t, fs.BaseStorage, 4, "cpu")
assertFloat32SliceEqual(t, fs.Data, []float32{1.2, -3.4, 5.6, -7.8}, 0.013)
})
}
}
func loadTensorFromFile(t *testing.T, filename string) *Tensor {
result, err := Load(path.Join("testdata", filename))
if err != nil {
t.Fatal(err)
}
tensor, tensorOk := result.(*Tensor)
if !tensorOk {
t.Fatalf("expected *Tensor, got %#v", result)
}
return tensor
}
func makeFilenames(prefix string) []string {
filenames := make([]string, 0, 10)
for _, proto := range [...]int{1, 2, 3, 4, 5} {
for _, useZip := range [...]bool{false, true} {
suffix := fmt.Sprintf("_proto%d", proto)
if useZip {
suffix += "_zip"
}
filenames = append(filenames, prefix+suffix+".pt")
}
}
return filenames
}
func assertIntSliceEqual(t *testing.T, actual, expected []int) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertFloat32SliceEqual(t *testing.T, actual, expected []float32, eps float32) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
expectedVal := expected[index]
if actualVal < expectedVal-eps || actualVal > expectedVal+eps {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertFloat64SliceEqual(t *testing.T, actual, expected []float64, eps float64) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
expectedVal := expected[index]
if actualVal < expectedVal-eps || actualVal > expectedVal+eps {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertInt8SliceEqual(t *testing.T, actual, expected []int8) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertInt16SliceEqual(t *testing.T, actual, expected []int16) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertInt32SliceEqual(t *testing.T, actual, expected []int32) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertInt64SliceEqual(t *testing.T, actual, expected []int64) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertUInt8SliceEqual(t *testing.T, actual, expected []uint8) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertBoolSliceEqual(t *testing.T, actual, expected []bool) {
if len(actual) != len(expected) {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
for index, actualVal := range actual {
if actualVal != expected[index] {
t.Errorf("expected %v, actual %v", expected, actual)
return
}
}
}
func assertCommonTensorFields(t *testing.T, tensor *Tensor) {
assertIntSliceEqual(t, tensor.Size, []int{4})
assertIntSliceEqual(t, tensor.Stride, []int{1})
if tensor.StorageOffset != 0 {
t.Errorf("expected StorageOffset 0, got %d", tensor.StorageOffset)
}
if tensor.RequiresGrad {
t.Errorf("expected RequiresGrad false, got True")
}
}
func assertBaseStorageFields(t *testing.T, bs BaseStorage, size int, location string) {
if bs.Size != size {
t.Errorf("expected storage Size %d, got %d", size, bs.Size)
}
if bs.Location != location {
t.Errorf("expected storage Location %#v, got %#v", location, bs.Location)
}
}
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