Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
2ef6ee6
commit 69db77a
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,158 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
|
Check warning Code scanning / lintrunner CLANGFORMAT/format Warning test |
||
| // Licensed under the MIT License. | ||
|
|
||
| #include "test/common/tensor_op_test_utils.h" | ||
| #include "test/providers/provider_test_utils.h" | ||
|
|
||
| namespace onnxruntime { | ||
| namespace test { | ||
|
|
||
| #if defined(USE_CUDA) || defined(USE_ROCM) | ||
|
|
||
|
|
||
| TEST(FlattenAndUnpadTest, Int32Type1D) { | ||
| std::vector<int32_t> input = {1, 1, 3, 2, 0, 3, 0, 4, | ||
| 0, 5, 0, 6, 0, 0, 0}; | ||
| std::vector<int64_t> indices = {1, 3, 5, 7, 9, 11}; | ||
|
|
||
| std::vector<int32_t> output = {1, 2, 3, 4, 5, 6}; | ||
| std::vector<int64_t> unflatten_dims = {5, 3}; | ||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<int32_t>("input", {5, 3}, input); | ||
| test.AddInput<int64_t>("indices", {6}, indices); | ||
| test.AddOutput<int32_t>("output", {6}, output); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, Int32Type2D) { | ||
| std::vector<int32_t> input = {0, 0, 0, 1, 2, 3, 0, 0, 0, | ||
| 4, 5, 6, 7, 8, 9, 0, 0, 0}; | ||
| std::vector<int64_t> indices = {1, 3, 4}; | ||
|
|
||
| std::vector<int32_t> output = {1, 2, 3, 4, 5, 6, 7, 8, 9}; | ||
| std::vector<int64_t> unflatten_dims = {2, 3}; | ||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<int32_t>("input", {2, 3, 3}, input); | ||
| test.AddInput<int64_t>("indices", {3}, indices); | ||
| test.AddOutput<int32_t>("output", {3, 3}, output); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, Int64Type1D) { | ||
| std::vector<int64_t> input = {1, 1, 3, 2, 0, 3, 0, 4, | ||
| 0, 5, 0, 6, 0, 0, 0}; | ||
| std::vector<int64_t> indices = {1, 3, 5, 7, 9, 11}; | ||
|
|
||
| std::vector<int64_t> output = {1, 2, 3, 4, 5, 6}; | ||
| std::vector<int64_t> unflatten_dims = {5, 3}; | ||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<int64_t>("input", {5, 3}, input); | ||
| test.AddInput<int64_t>("indices", {6}, indices); | ||
| test.AddOutput<int64_t>("output", {6}, output); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, Int64Type2D) { | ||
| std::vector<int64_t> input = {0, 0, 0, 1, 2, 3, 0, 0, 0, | ||
| 4, 5, 6, 7, 8, 9, 0, 0, 0}; | ||
| std::vector<int64_t> indices = {1, 3, 4}; | ||
|
|
||
| std::vector<int64_t> output = {1, 2, 3, 4, 5, 6, 7, 8, 9}; | ||
| std::vector<int64_t> unflatten_dims = {2, 3}; | ||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<int64_t>("input", {2, 3, 3}, input); | ||
| test.AddInput<int64_t>("indices", {3}, indices); | ||
| test.AddOutput<int64_t>("output", {3, 3}, output); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, FloatType1D) { | ||
| std::vector<float> input = {1.0f, 1.0f, 3.0f, 2.0f, 0.0f, 3.0f, 0.0f, 4.0f, | ||
| 0.0f, 5.0f, 0.0f, 6.0f, 0.0f, 0.0f, 0.0f}; | ||
| std::vector<int64_t> indices = {1, 3, 5, 7, 9, 11}; | ||
|
|
||
| std::vector<float> output = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.f}; | ||
| std::vector<int64_t> unflatten_dims = {5, 3}; | ||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<float>("input", {5, 3}, input); | ||
| test.AddInput<int64_t>("indices", {6}, indices); | ||
| test.AddOutput<float>("output", {6}, output); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, FloatType2D) { | ||
| std::vector<float> input = {0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f, 0.0f, | ||
| 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 0.0f, 0.0f, 0.0f}; | ||
| std::vector<int64_t> indices = {1, 3, 4}; | ||
|
|
||
| std::vector<float> output = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.f, 7.f, 8.f, 9.f}; | ||
| std::vector<int64_t> unflatten_dims = {2, 3}; | ||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<float>("input", {2, 3, 3}, input); | ||
| test.AddInput<int64_t>("indices", {3}, indices); | ||
| test.AddOutput<float>("output", {3, 3}, output); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, MLFloat16Type1D) { | ||
| std::vector<float> input = {0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 3.0f, 0.0f, 4.0f, | ||
| 0.0f, 5.0f, 0.0f, 6.0f, 0.0f, 0.0f, 0.0f}; | ||
| std::vector<int64_t> indices = {1, 3, 5, 7, 9, 11}; | ||
|
|
||
| std::vector<float> output = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.f}; | ||
| std::vector<int64_t> unflatten_dims = {5, 3}; | ||
|
|
||
| std::vector<MLFloat16> input_half; | ||
| input_half.resize(input.size()); | ||
| ConvertFloatToMLFloat16(input.data(), input_half.data(), int(input.size())); | ||
|
Check warning on line 119 in orttraining/orttraining/test/training_ops/cuda/flatten_and_unpad_test.cc
|
||
| std::vector<MLFloat16> output_half; | ||
| output_half.resize(output.size()); | ||
| ConvertFloatToMLFloat16(output.data(), output_half.data(), int(output.size())); | ||
|
Check warning on line 122 in orttraining/orttraining/test/training_ops/cuda/flatten_and_unpad_test.cc
|
||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<MLFloat16>("input", {5, 3}, input_half); | ||
| test.AddInput<int64_t>("indices", {6}, indices); | ||
| test.AddOutput<MLFloat16>("output", {6}, output_half); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| TEST(FlattenAndUnpadTest, MLFloat16Type2D) { | ||
| std::vector<float> input = {0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f, 0.0f, | ||
| 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 0.0f, 0.0f, 0.0f}; | ||
| std::vector<int64_t> indices = {1, 3, 4}; | ||
|
|
||
| std::vector<float> output = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.f, 7.f, 8.f, 9.f}; | ||
| std::vector<int64_t> unflatten_dims = {2, 3}; | ||
|
|
||
| std::vector<MLFloat16> input_half; | ||
| input_half.resize(input.size()); | ||
| ConvertFloatToMLFloat16(input.data(), input_half.data(), int(input.size())); | ||
|
Check warning on line 142 in orttraining/orttraining/test/training_ops/cuda/flatten_and_unpad_test.cc
|
||
| std::vector<MLFloat16> output_half; | ||
| output_half.resize(output.size()); | ||
| ConvertFloatToMLFloat16(output.data(), output_half.data(), int(output.size())); | ||
|
Check warning on line 145 in orttraining/orttraining/test/training_ops/cuda/flatten_and_unpad_test.cc
|
||
|
|
||
| OpTester test("FlattenAndUnpad", 1, onnxruntime::kMSDomain); | ||
| test.AddInput<MLFloat16>("input", {2, 3, 3}, input_half); | ||
| test.AddInput<int64_t>("indices", {3}, indices); | ||
| test.AddOutput<MLFloat16>("output", {3, 3}, output_half); | ||
| test.AddOutput<int64_t>("unflatten_dims", {2}, unflatten_dims); | ||
| test.Run(); | ||
| } | ||
|
|
||
| #endif | ||
|
|
||
| } // namespace test | ||
| } // namespace onnxruntime | ||
Oops, something went wrong.