chore: import upstream snapshot with attribution

test/paddle_lib/CMakeLists.txt.in

@@ -0,0 +1,14 @@
+cmake_minimum_required(VERSION 3.15)
+project(test_paddle_lib)
+
+list(APPEND CMAKE_PREFIX_PATH "@PADDLE_BINARY_DIR@/paddle_install_dir")
+find_package(Paddle REQUIRED)
+include_directories(${PADDLE_INCLUDE_DIRS})
+
+add_executable(test_paddle_lib test_paddle_lib.cc)
+target_link_libraries(test_paddle_lib ${PADDLE_LIBRARIES})
+
+if(@WITH_GPU@)
+  add_executable(test_paddle_lib_gpu test_paddle_lib_gpu.cc)
+  target_link_libraries(test_paddle_lib_gpu ${PADDLE_LIBRARIES})
+endif()

test/paddle_lib/test_paddle_lib.cc

@@ -0,0 +1,27 @@
+// Copyright (c) 2023 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 <cassert>
+
+#include "paddle/extension.h"
+
+int main() {
+  int data[] = {1, 2, 3, 4};
+  auto tensor = paddle::from_blob(data, {2, 2}, phi::DataType::INT32);
+
+  assert(tensor.numel() == 4);
+  assert(tensor.dtype() == phi::DataType::INT32);
+  assert(tensor.is_cpu());
+  assert(tensor.template data<int>() == data);
+}

test/paddle_lib/test_paddle_lib_gpu.cc

@@ -0,0 +1,25 @@
+// Copyright (c) 2023 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 <cassert>
+
+#include "paddle/extension.h"
+
+int main() {
+  float data[] = {1., 2., 3., 4.};
+  auto tensor = paddle::from_blob(data, {2, 2}, phi::DataType::FLOAT32);
+  auto gpu_tensor =
+      paddle::experimental::copy_to(tensor, phi::GPUPlace(), false);
+  assert(gpu_tensor.is_gpu());
+}