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64 lines
2.1 KiB
64 lines
2.1 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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/*
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Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include "paddle/framework/lod_tensor.h"
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#include "paddle/platform/assert.h"
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#include <gtest/gtest.h>
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__global__ void test(size_t* a, int size) {
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for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < size;
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i += blockDim.x * gridDim.x) {
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a[i] *= 2;
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}
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}
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TEST(LoDTensor, LoDInGPU) {
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paddle::framework::LoDTensor lod_tensor;
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paddle::platform::CUDAPlace place(0);
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paddle::framework::LoD src_lod;
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src_lod.push_back(std::vector<size_t>{0, 2, 4, 6, 8, 10, 12, 14});
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lod_tensor.Resize({14, 16});
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lod_tensor.mutable_data<float>(place);
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lod_tensor.set_lod(src_lod);
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EXPECT_EQ(lod_tensor.lod_element(0, 2).first, 4UL);
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EXPECT_EQ(lod_tensor.lod_element(0, 4).first, 8UL);
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auto lod = lod_tensor.lod();
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test<<<1, 8>>>(lod[0].data(), lod[0].size());
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cudaDeviceSynchronize();
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for (size_t i = 0; i < src_lod[0].size(); ++i) {
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EXPECT_EQ(lod[0].data()[i], src_lod[0].data()[i] * 2);
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}
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}
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