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96 lines
2.5 KiB
96 lines
2.5 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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#include <cuda.h>
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#include <cuda_runtime.h>
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#include <stdio.h>
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#include "paddle/framework/init.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(Vector, Normal) {
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using namespace paddle::framework;
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using namespace paddle::platform;
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using namespace paddle::memory;
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paddle::framework::InitDevices();
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paddle::framework::Vector<size_t> vec({1, 2, 3});
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size_t* ptr = vec.data();
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for (size_t i = 0; i < vec.size(); ++i) {
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EXPECT_EQ(vec[i], *(ptr + i));
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}
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vec.clear();
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vec.CopyFromCUDA();
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std::vector<size_t> v = {1, 2, 3};
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for (size_t i = 0; i < v.size(); ++i) {
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EXPECT_EQ(v[i], vec[i]);
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}
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}
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TEST(LoD, data) {
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paddle::framework::InitDevices();
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paddle::framework::LoD lod{{0, 1, 2}};
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lod.push_back({0, 2, 4, 5});
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lod.push_back(std::vector<size_t>({0, 1, 6, 8, 10, 11}));
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auto& v = lod[0];
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test<<<1, 1>>>(v.cuda_data(), v.size());
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cudaDeviceSynchronize();
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v.CopyFromCUDA();
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for (size_t i = 0; i < v.size(); ++i) {
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EXPECT_EQ(v[i], i * 2);
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}
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}
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TEST(LoDTensor, LoDInGPU) {
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paddle::framework::InitDevices();
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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].cuda_data(), lod[0].size());
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cudaDeviceSynchronize();
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lod.CopyFromCUDA();
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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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