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69 lines
2.7 KiB
69 lines
2.7 KiB
5 years ago
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// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <memory>
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/device_worker.h"
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#include "paddle/fluid/framework/fleet/fleet_wrapper.h"
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#include "paddle/fluid/framework/no_need_buffer_vars_inference.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/tensor.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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void PushDenseFunctor(const framework::ExecutionContext& ctx) {
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#ifdef PADDLE_WITH_PSLIB
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const auto& input_names = ctx.Attr<std::vector<std::string>>("InputNames");
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auto table_id = static_cast<uint32_t>(ctx.Attr<int>("TableId"));
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PADDLE_ENFORCE_GT(table_id, 0,
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platform::errors::InvalidArgument(
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"table id should > 0, but value is ", table_id));
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float scale_datanorm = ctx.Attr<float>("ScaleDataNorm");
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const auto& ids = ctx.MultiInput<framework::LoDTensor>("Ids");
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int batch_size =
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ids[0]->lod().size() ? ids[0]->lod()[0].size() - 1 : ids[0]->dims()[0];
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PADDLE_ENFORCE_GT(batch_size, 0,
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platform::errors::InvalidArgument(
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"batch size should > 0, but value is ", batch_size));
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auto fleet_ptr = framework::FleetWrapper::GetInstance();
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fleet_ptr->PushDenseVarsAsync(ctx.scope(), table_id, input_names, nullptr,
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scale_datanorm, batch_size);
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// note: GetInstance() is not thread-safe
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// we assume PullDenseWorker has been already initialized in DistMultiTrainer
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auto pull_dense_worker = framework::PullDenseWorker::GetInstance();
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PADDLE_ENFORCE_NE(pull_dense_worker, nullptr,
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platform::errors::PreconditionNotMet(
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"pull_dense_worker should not be null"));
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int thread_id = pull_dense_worker->GetThreadIdByScope(&ctx.scope());
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pull_dense_worker->IncreaseThreadVersion(thread_id, table_id);
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#endif
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}
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template <typename T>
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class PushDenseCPUKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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PushDenseFunctor<T>(ctx);
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}
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};
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} // namespace operators
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} // namespace paddle
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