/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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 "paddle/operators/tensor_copy.h" #include "gtest/gtest.h" #include "paddle/memory/memory.h" namespace paddle { namespace operators { TEST(TensorCopy, CPU_COPY) { int src[] = { 0, 1, 2, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, }; framework::DDim src_stride({5, 1}); int dst[4]; framework::DDim dst_dim({2, 2}); framework::DDim dst_stride({2, 1}); platform::CPUDeviceContext ctx; TensorCopy(ctx, src + 1, src_stride, dst_dim, dst_stride, dst); ASSERT_EQ(1, dst[0]); ASSERT_EQ(2, dst[1]); ASSERT_EQ(3, dst[2]); ASSERT_EQ(4, dst[3]); } #ifndef PADDLE_ONLY_CPU TEST(TensorCopy, GPU_COPY) { int src[] = { 0, 1, 2, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, }; platform::GPUPlace gpu0(0); platform::CPUPlace cpu; int* gpu_src = reinterpret_cast(memory::Alloc(gpu0, sizeof(src))); memory::Copy(gpu0, gpu_src, cpu, src, sizeof(src)); framework::DDim src_stride({5, 1}); int dst[4]; int* gpu_dst = reinterpret_cast(memory::Alloc(gpu0, sizeof(dst))); framework::DDim dst_dim({2, 2}); framework::DDim dst_stride({2, 1}); platform::CUDADeviceContext ctx(gpu0); TensorCopy(ctx, gpu_src + 1, src_stride, dst_dim, dst_stride, gpu_dst); memory::Copy(cpu, dst, gpu0, gpu_dst, sizeof(dst)); ASSERT_EQ(1, dst[0]); ASSERT_EQ(2, dst[1]); ASSERT_EQ(3, dst[2]); ASSERT_EQ(4, dst[3]); memory::Free(gpu0, gpu_dst); memory::Free(gpu0, gpu_src); } #endif } // namespace operators } // namespace paddle