Dong Zhihong
7 years ago
parent
da1181bfc6
commit
0990c87bf6
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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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#include "paddle/operators/nccl_op.h"
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#include "glog/logging.h"
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#include "gtest/gtest.h"
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#include "paddle/platform/device_context.h"
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#include "paddle/platform/enforce.h"
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#include "paddle/platform/gpu_info.h"
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#include <thrust/device_vector.h>
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#include <memory>
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#include <vector>
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static std::vector<int> gpu_list;
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using f = paddle::framework;
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using ops = paddle::operators;
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void AddOp(const std::string &type, const f::VariableNameMap &inputs,
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const f::VariableNameMap &outputs, f::AttributeMap attrs,
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paddle::framework::BlockDescBind *block) {
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for (auto kv : outputs) {
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for (auto v : kv.second) {
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auto var = block->Var(v);
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var->SetDataType(paddle::framework::DataType::FP32);
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}
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}
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auto op = block->AppendOp();
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op->SetType(type);
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for (auto &kv : inputs) {
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op->SetInput(kv.first, kv.second);
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}
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for (auto &kv : outputs) {
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op->SetOutput(kv.first, kv.second);
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}
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op->SetAttrMap(attrs);
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}
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TEST(NCCL, ncclInitOp) {
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f::ProgramDescBind program;
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f::BlockDescBind *block = program.Block(0);
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}
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int main(int argc, char **argv) {
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static constexpr int gpu_count = paddle::platform::GetCUDADeviceCount();
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for (int i = 0; i < gpu_count; ++i) {
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gpu_list.emplace_back(i);
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}
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if (dev_count <= 1) {
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LOG(WARNING)
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<< "Cannot test multi-gpu nccl, because the CUDA device count is "
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<< dev_count;
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return 0;
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}
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testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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