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78 lines
3.1 KiB
78 lines
3.1 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/fleet/fleet_wrapper.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 PullSparseFunctor(const framework::ExecutionContext& ctx) {
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auto inputs = ctx.MultiInput<framework::LoDTensor>("Ids");
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auto outputs = ctx.MultiOutput<framework::LoDTensor>("Out");
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uint32_t fea_dim = static_cast<uint32_t>(ctx.Attr<int>("EmbeddingDim"));
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uint64_t padding_id = static_cast<uint64_t>(ctx.Attr<int>("PaddingId"));
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auto table_id = static_cast<uint32_t>(ctx.Attr<int>("TableId"));
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// note: GetInstance() is not thread-safe
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// we assume FleetWrapper has been already initialized
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auto fleet_ptr = framework::FleetWrapper::GetInstance();
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fleet_ptr->PullSparseToTensorSync(table_id, fea_dim, padding_id,
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ctx.GetPlace(), &inputs, &outputs);
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}
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template <typename T>
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void PushSparseFunctor(const framework::ExecutionContext& ctx) {
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auto inputs = ctx.MultiInput<framework::LoDTensor>("Ids");
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auto grads =
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ctx.MultiInput<framework::LoDTensor>(framework::GradVarName("Out"));
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uint32_t fea_dim = static_cast<uint32_t>(ctx.Attr<int>("EmbeddingDim"));
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std::string accesor = ctx.Attr<std::string>("AccessorClass");
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bool scale_sparse = ctx.Attr<bool>("ScaleSparseGrad");
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uint64_t padding_id = static_cast<uint64_t>(ctx.Attr<int>("PaddingId"));
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const std::string& label_name = ctx.Attr<std::string>("CtrLabelName");
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const framework::Scope& scope = ctx.scope();
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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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// note: GetInstance() is not thread-safe
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// we assume FleetWrapper has been already initialized
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auto fleet_ptr = framework::FleetWrapper::GetInstance();
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fleet_ptr->PushSparseFromTensorWithLabelAsync(
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scope, table_id, fea_dim, padding_id, scale_sparse, accesor, label_name,
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ctx.GetPlace(), input_names, &inputs, &grads);
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}
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template <typename T>
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class PullSparseCPUKernel : 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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PullSparseFunctor<T>(ctx);
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}
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};
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template <typename T>
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class PushSparseCPUKernel : 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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PushSparseFunctor<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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