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Remove some headers to decrease the size of executable file
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Original file line number | Diff line number | Diff line change |
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/* Copyright (c) 2022 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. */ | ||
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#include <gtest/gtest.h> | ||
#include <memory> | ||
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#include "paddle/phi/api/include/strings_api.h" | ||
#include "paddle/phi/api/lib/utils/allocator.h" | ||
#include "paddle/phi/common/backend.h" | ||
#include "paddle/phi/core/dense_tensor.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
#include "paddle/phi/core/string_tensor.h" | ||
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PD_DECLARE_KERNEL(strings_empty, CPU, ALL_LAYOUT); | ||
PD_DECLARE_KERNEL(strings_empty_like, CPU, ALL_LAYOUT); | ||
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namespace paddle { | ||
namespace tests { | ||
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using phi::CPUPlace; | ||
using phi::StringTensor; | ||
using phi::StringTensorMeta; | ||
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TEST(API, strings_empty) { | ||
// 1. create tensor | ||
auto cpu = CPUPlace(); | ||
const auto alloc = | ||
std::make_shared<paddle::experimental::DefaultAllocator>(cpu); | ||
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auto dense_shape = std::make_shared<phi::DenseTensor>( | ||
alloc.get(), | ||
phi::DenseTensorMeta( | ||
phi::DataType::INT64, phi::make_ddim({2}), phi::DataLayout::NCHW)); | ||
auto* shape_data = | ||
dense_shape->mutable_data<int64_t>(paddle::platform::CPUPlace()); | ||
shape_data[0] = 2; | ||
shape_data[1] = 3; | ||
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paddle::experimental::Tensor tensor_shape(dense_shape); | ||
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// 2. test API | ||
auto empty_out = paddle::experimental::strings::empty(tensor_shape); | ||
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// 3. check result | ||
ASSERT_EQ(empty_out.dims().size(), 2); | ||
ASSERT_EQ(empty_out.dims()[0], 2); | ||
ASSERT_EQ(empty_out.dims()[1], 3); | ||
ASSERT_EQ(empty_out.numel(), 6); | ||
} | ||
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TEST(API, strings_empty_like) { | ||
auto cpu = CPUPlace(); | ||
const auto alloc = | ||
std::make_shared<paddle::experimental::DefaultAllocator>(cpu); | ||
// 1. create tensor | ||
const phi::DDim dims({1, 2}); | ||
StringTensorMeta meta(dims); | ||
auto cpu_strings_x = std::make_shared<phi::StringTensor>( | ||
alloc.get(), phi::StringTensorMeta(meta)); | ||
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// 2. test API | ||
paddle::experimental::Tensor x(cpu_strings_x); | ||
auto empty_like_out = paddle::experimental::strings::empty_like(x); | ||
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// 3. check result | ||
ASSERT_EQ(empty_like_out.dims().size(), 2); | ||
ASSERT_EQ(empty_like_out.dims()[0], 1); | ||
ASSERT_EQ(empty_like_out.numel(), 2); | ||
} | ||
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} // namespace tests | ||
} // namespace paddle |
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Original file line number | Diff line number | Diff line change |
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/* Copyright (c) 2022 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. */ | ||
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#include <gtest/gtest.h> | ||
#include <memory> | ||
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#include "paddle/phi/api/include/strings_api.h" | ||
#include "paddle/phi/api/lib/utils/allocator.h" | ||
#include "paddle/phi/backends/all_context.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
#include "paddle/phi/core/string_tensor.h" | ||
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PD_DECLARE_KERNEL(strings_lower, CPU, ALL_LAYOUT); | ||
PD_DECLARE_KERNEL(strings_upper, CPU, ALL_LAYOUT); | ||
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namespace paddle { | ||
namespace tests { | ||
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using phi::CPUPlace; | ||
using phi::StringTensor; | ||
using phi::StringTensorMeta; | ||
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TEST(API, case_convert) { | ||
auto cpu = CPUPlace(); | ||
const auto alloc = | ||
std::make_shared<paddle::experimental::DefaultAllocator>(cpu); | ||
// 1. create tensor | ||
const phi::DDim dims({1, 2}); | ||
StringTensorMeta meta(dims); | ||
auto cpu_strings_x = std::make_shared<phi::StringTensor>( | ||
alloc.get(), phi::StringTensorMeta(meta)); | ||
phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance(); | ||
auto* dev_ctx = pool.Get(phi::CPUPlace()); | ||
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pstring* cpu_strings_x_data = | ||
dev_ctx->template Alloc<pstring>(cpu_strings_x.get()); | ||
std::string strs[] = {"A Short Pstring.", | ||
"A Large Pstring Whose Length Is Longer Than 22."}; | ||
for (int i = 0; i < 2; ++i) { | ||
cpu_strings_x_data[i] = strs[i]; | ||
} | ||
// 2. get expected results | ||
std::string expected_results[] = {strs[0], strs[0], strs[1], strs[1]}; | ||
std::transform( | ||
strs[0].begin(), strs[0].end(), expected_results[0].begin(), ::tolower); | ||
std::transform( | ||
strs[0].begin(), strs[0].end(), expected_results[1].begin(), ::toupper); | ||
std::transform( | ||
strs[1].begin(), strs[1].end(), expected_results[2].begin(), ::tolower); | ||
std::transform( | ||
strs[1].begin(), strs[1].end(), expected_results[3].begin(), ::toupper); | ||
// 3. test API, ascii encoding | ||
paddle::experimental::Tensor x(cpu_strings_x); | ||
auto lower_out = paddle::experimental::strings::lower(x, false); | ||
auto upper_out = paddle::experimental::strings::upper(x, false); | ||
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auto lower_tensor = | ||
std::dynamic_pointer_cast<phi::StringTensor>(lower_out.impl()); | ||
auto upper_tensor = | ||
std::dynamic_pointer_cast<phi::StringTensor>(upper_out.impl()); | ||
ASSERT_EQ(lower_tensor->dims(), dims); | ||
ASSERT_EQ(upper_tensor->dims(), dims); | ||
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auto lower_tensor_ptr = lower_tensor->data(); | ||
auto upper_tensor_ptr = upper_tensor->data(); | ||
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const std::string cpu_results[] = {lower_tensor_ptr[0].data(), | ||
upper_tensor_ptr[0].data(), | ||
lower_tensor_ptr[1].data(), | ||
upper_tensor_ptr[1].data()}; | ||
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for (int i = 0; i < 4; ++i) { | ||
ASSERT_EQ(cpu_results[i], expected_results[i]); | ||
} | ||
} | ||
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TEST(API, case_convert_utf8) { | ||
auto cpu = CPUPlace(); | ||
const auto alloc = | ||
std::make_shared<paddle::experimental::DefaultAllocator>(cpu); | ||
// 1. create tensor | ||
const phi::DDim dims({1, 2}); | ||
StringTensorMeta meta(dims); | ||
auto cpu_strings_x = std::make_shared<phi::StringTensor>( | ||
alloc.get(), phi::StringTensorMeta(meta)); | ||
phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance(); | ||
auto* dev_ctx = pool.Get(phi::CPUPlace()); | ||
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pstring* cpu_strings_x_data = | ||
dev_ctx->template Alloc<pstring>(cpu_strings_x.get()); | ||
std::string strs[] = {"óÓsscHloëË", "óÓsscHloëËóÓsscHloëËóÓsscHloëË"}; | ||
for (int i = 0; i < 2; ++i) { | ||
cpu_strings_x_data[i] = strs[i]; | ||
} | ||
// 2. get expected results | ||
std::string expected_results[] = {"óósschloëë", | ||
"ÓÓSSCHLOËË", | ||
"óósschloëëóósschloëëóósschloëë", | ||
"ÓÓSSCHLOËËÓÓSSCHLOËËÓÓSSCHLOËË"}; | ||
// 3. test API, ascii encoding | ||
paddle::experimental::Tensor x(cpu_strings_x); | ||
auto lower_out = paddle::experimental::strings::lower(x, true); | ||
auto upper_out = paddle::experimental::strings::upper(x, true); | ||
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auto lower_tensor = | ||
std::dynamic_pointer_cast<phi::StringTensor>(lower_out.impl()); | ||
auto upper_tensor = | ||
std::dynamic_pointer_cast<phi::StringTensor>(upper_out.impl()); | ||
ASSERT_EQ(lower_tensor->dims(), dims); | ||
ASSERT_EQ(upper_tensor->dims(), dims); | ||
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auto lower_tensor_ptr = lower_tensor->data(); | ||
auto upper_tensor_ptr = upper_tensor->data(); | ||
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const char* cpu_results[] = {lower_tensor_ptr[0].data(), | ||
upper_tensor_ptr[0].data(), | ||
lower_tensor_ptr[1].data(), | ||
upper_tensor_ptr[1].data()}; | ||
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for (int i = 0; i < 4; ++i) { | ||
ASSERT_EQ(std::string(cpu_results[i]), expected_results[i]); | ||
} | ||
} | ||
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} // namespace tests | ||
} // namespace paddle |
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🕵️ CI failures summary
🔍 PR: #39830 Commit ID: 71a8d1a contains failed CI.
🔹 Failed: PR-CI-APPROVAL
Unknown Failed