/* 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 #include #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(cpu); auto dense_shape = std::make_shared( alloc.get(), phi::DenseTensorMeta( phi::DataType::INT64, phi::make_ddim({2}), phi::DataLayout::NCHW)); auto* dev_ctx = phi::DeviceContextPool::Instance().GetByPlace(phi::CPUPlace()); auto* shape_data = dev_ctx->template Alloc(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(cpu); // 1. create tensor const phi::DDim dims({1, 2}); StringTensorMeta meta(dims); auto cpu_strings_x = std::make_shared( 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