chore: import upstream snapshot with attribution

test/cpp/phi/api/test_strings_empty_api.cc

@@ -0,0 +1,87 @@
+/* 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