wehub-resource-sync
88 lines
2.6 KiB
C++
88 lines
2.6 KiB
C++
/* 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. */
|
|
|
|
#include <gtest/gtest.h>
|
|
|
|
#include <memory>
|
|
|
|
#include "paddle/phi/api/include/strings_api.h"
|
|
#include "paddle/phi/api/lib/utils/allocator.h"
|
|
#include "paddle/phi/backends/context_pool.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"
|
|
|
|
PD_DECLARE_KERNEL(strings_empty, CPU, ALL_LAYOUT);
|
|
PD_DECLARE_KERNEL(strings_empty_like, CPU, ALL_LAYOUT);
|
|
|
|
namespace paddle {
|
|
namespace tests {
|
|
|
|
using phi::CPUPlace;
|
|
using phi::StringTensor;
|
|
using phi::StringTensorMeta;
|
|
|
|
TEST(API, strings_empty) {
|
|
// 1. create tensor
|
|
auto cpu = CPUPlace();
|
|
const auto alloc =
|
|
std::make_shared<paddle::experimental::DefaultAllocator>(cpu);
|
|
|
|
auto dense_shape = std::make_shared<phi::DenseTensor>(
|
|
alloc.get(),
|
|
phi::DenseTensorMeta(
|
|
phi::DataType::INT64, common::make_ddim({2}), phi::DataLayout::NCHW));
|
|
auto* dev_ctx =
|
|
phi::DeviceContextPool::Instance().GetByPlace(phi::CPUPlace());
|
|
auto* shape_data = dev_ctx->template Alloc<int64_t>(dense_shape.get());
|
|
|
|
shape_data[0] = 2;
|
|
shape_data[1] = 3;
|
|
|
|
paddle::Tensor tensor_shape(dense_shape);
|
|
|
|
// 2. test API
|
|
auto empty_out = paddle::experimental::strings::empty(tensor_shape);
|
|
|
|
// 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);
|
|
}
|
|
|
|
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));
|
|
|
|
// 2. test API
|
|
paddle::Tensor x(cpu_strings_x);
|
|
auto empty_like_out = paddle::experimental::strings::empty_like(x);
|
|
|
|
// 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);
|
|
}
|
|
|
|
} // namespace tests
|
|
} // namespace paddle
|