-
Notifications
You must be signed in to change notification settings - Fork 5.7k
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
Showing
10 changed files
with
231 additions
and
166 deletions.
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 was deleted.
Oops, something went wrong.
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 was deleted.
Oops, something went wrong.
This file was deleted.
Oops, something went wrong.
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 +1,141 @@ | ||
| /* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. */ | ||
|
|
||
| #include <gtest/gtest.h> | ||
| #include <memory> | ||
|
|
||
| #include "paddle/pten/include/creation.h" | ||
|
|
||
| #include "paddle/pten/api/lib/utils/allocator.h" | ||
| #include "paddle/pten/core/dense_tensor.h" | ||
| #include "paddle/pten/core/kernel_registry.h" | ||
|
|
||
| namespace pten { | ||
| namespace tests { | ||
|
|
||
| namespace framework = paddle::framework; | ||
| using DDim = paddle::framework::DDim; | ||
|
|
||
| TEST(DEV_API, empty) { | ||
| // 1. create input | ||
| paddle::platform::DeviceContextPool& pool = | ||
| paddle::platform::DeviceContextPool::Instance(); | ||
| auto* dev_ctx = pool.Get(paddle::platform::CPUPlace()); | ||
|
|
||
| // 2. test API | ||
| auto out = pten::Empty<float>( | ||
| *(static_cast<paddle::platform::CPUDeviceContext*>(dev_ctx)), | ||
| {3, 2}, | ||
| pten::DataType::INT32); | ||
|
|
||
| // 3. check result | ||
| ASSERT_EQ(out.dims().size(), 2); | ||
| ASSERT_EQ(out.dims()[0], 3); | ||
| ASSERT_EQ(out.numel(), 6); | ||
| ASSERT_EQ(out.meta().dtype, pten::DataType::INT32); | ||
| ASSERT_EQ(out.meta().layout, pten::DataLayout::NCHW); | ||
| } | ||
|
|
||
| TEST(DEV_API, empty_like) { | ||
| // 1. create tensor | ||
| const auto alloc = std::make_shared<paddle::experimental::DefaultAllocator>( | ||
| paddle::platform::CPUPlace()); | ||
| pten::DenseTensor dense_x(alloc, | ||
| pten::DenseTensorMeta(pten::DataType::FLOAT32, | ||
| framework::make_ddim({3, 2}), | ||
| pten::DataLayout::NCHW)); | ||
| auto* dense_x_data = dense_x.mutable_data<float>(); | ||
| dense_x_data[0] = 0; | ||
|
|
||
| paddle::platform::DeviceContextPool& pool = | ||
| paddle::platform::DeviceContextPool::Instance(); | ||
| auto* dev_ctx = pool.Get(paddle::platform::CPUPlace()); | ||
|
|
||
| // 2. test API | ||
| auto out = pten::EmptyLike<float>( | ||
| *(static_cast<paddle::platform::CPUDeviceContext*>(dev_ctx)), dense_x); | ||
|
|
||
| // 3. check result | ||
| ASSERT_EQ(out.dims().size(), 2); | ||
| ASSERT_EQ(out.dims()[0], 3); | ||
| ASSERT_EQ(out.numel(), 6); | ||
| ASSERT_EQ(out.meta().dtype, pten::DataType::FLOAT32); | ||
| ASSERT_EQ(out.meta().layout, pten::DataLayout::NCHW); | ||
| } | ||
|
|
||
| TEST(DEV_API, full) { | ||
| // 1. create input | ||
| float val = 1.0; | ||
|
|
||
| paddle::platform::DeviceContextPool& pool = | ||
| paddle::platform::DeviceContextPool::Instance(); | ||
| auto* dev_ctx = pool.Get(paddle::platform::CPUPlace()); | ||
|
|
||
| // 2. test API | ||
| auto out = pten::Full<float>( | ||
| *(static_cast<paddle::platform::CPUDeviceContext*>(dev_ctx)), | ||
| {3, 2}, | ||
| val, | ||
| pten::DataType::FLOAT32); | ||
|
|
||
| // 3. check result | ||
| ASSERT_EQ(out.dims().size(), 2); | ||
| ASSERT_EQ(out.dims()[0], 3); | ||
| ASSERT_EQ(out.numel(), 6); | ||
| ASSERT_EQ(out.meta().dtype, pten::DataType::FLOAT32); | ||
| ASSERT_EQ(out.meta().layout, pten::DataLayout::NCHW); | ||
|
|
||
| auto* actual_result = out.data<float>(); | ||
| for (auto i = 0; i < 6; i++) { | ||
| ASSERT_NEAR(actual_result[i], val, 1e-6f); | ||
| } | ||
| } | ||
|
|
||
| TEST(DEV_API, full_like) { | ||
| // 1. create tensor | ||
| const auto alloc = std::make_shared<paddle::experimental::DefaultAllocator>( | ||
| paddle::platform::CPUPlace()); | ||
| pten::DenseTensor dense_x(alloc, | ||
| pten::DenseTensorMeta(pten::DataType::FLOAT32, | ||
| framework::make_ddim({3, 2}), | ||
| pten::DataLayout::NCHW)); | ||
| auto* dense_x_data = dense_x.mutable_data<float>(); | ||
| dense_x_data[0] = 0; | ||
| float val = 1.0; | ||
|
|
||
| paddle::platform::DeviceContextPool& pool = | ||
| paddle::platform::DeviceContextPool::Instance(); | ||
| auto* dev_ctx = pool.Get(paddle::platform::CPUPlace()); | ||
|
|
||
| // 2. test API | ||
| auto out = pten::FullLike<float>( | ||
| *(static_cast<paddle::platform::CPUDeviceContext*>(dev_ctx)), | ||
| dense_x, | ||
| val); | ||
|
|
||
| // 3. check result | ||
| ASSERT_EQ(out.dims().size(), 2); | ||
| ASSERT_EQ(out.dims()[0], 3); | ||
| ASSERT_EQ(out.numel(), 6); | ||
| ASSERT_EQ(out.meta().dtype, pten::DataType::FLOAT32); | ||
| ASSERT_EQ(out.meta().layout, pten::DataLayout::NCHW); | ||
|
|
||
| auto* actual_result = out.data<float>(); | ||
| for (auto i = 0; i < 6; i++) { | ||
| ASSERT_NEAR(actual_result[i], val, 1e-6f); | ||
| } | ||
| } | ||
|
|
||
| } // namespace tests | ||
| } // namespace pten |
Oops, something went wrong.
3852fffThere was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
✅Congratulation! Your pull request passed all required CI. You could ask reviewer(s) to approve and merge. 🎉