You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
78 lines
3.1 KiB
78 lines
3.1 KiB
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#pragma once
|
|
#include <memory>
|
|
#include <string>
|
|
#include <vector>
|
|
#include "paddle/fluid/framework/fleet/fleet_wrapper.h"
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/framework/tensor.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
template <typename T>
|
|
void PullSparseFunctor(const framework::ExecutionContext& ctx) {
|
|
auto inputs = ctx.MultiInput<framework::LoDTensor>("Ids");
|
|
auto outputs = ctx.MultiOutput<framework::LoDTensor>("Out");
|
|
uint32_t fea_dim = static_cast<uint32_t>(ctx.Attr<int>("EmbeddingDim"));
|
|
uint64_t padding_id = static_cast<uint64_t>(ctx.Attr<int>("PaddingId"));
|
|
auto table_id = static_cast<uint32_t>(ctx.Attr<int>("TableId"));
|
|
// note: GetInstance() is not thread-safe
|
|
// we assume FleetWrapper has been already initialized
|
|
auto fleet_ptr = framework::FleetWrapper::GetInstance();
|
|
fleet_ptr->PullSparseToTensorSync(table_id, fea_dim, padding_id,
|
|
ctx.GetPlace(), &inputs, &outputs);
|
|
}
|
|
|
|
template <typename T>
|
|
void PushSparseFunctor(const framework::ExecutionContext& ctx) {
|
|
auto inputs = ctx.MultiInput<framework::LoDTensor>("Ids");
|
|
auto grads =
|
|
ctx.MultiInput<framework::LoDTensor>(framework::GradVarName("Out"));
|
|
uint32_t fea_dim = static_cast<uint32_t>(ctx.Attr<int>("EmbeddingDim"));
|
|
std::string accesor = ctx.Attr<std::string>("AccessorClass");
|
|
bool scale_sparse = ctx.Attr<bool>("ScaleSparseGrad");
|
|
uint64_t padding_id = static_cast<uint64_t>(ctx.Attr<int>("PaddingId"));
|
|
const std::string& label_name = ctx.Attr<std::string>("CtrLabelName");
|
|
const framework::Scope& scope = ctx.scope();
|
|
auto input_names = ctx.Attr<std::vector<std::string>>("InputNames");
|
|
auto table_id = static_cast<uint32_t>(ctx.Attr<int>("TableId"));
|
|
// note: GetInstance() is not thread-safe
|
|
// we assume FleetWrapper has been already initialized
|
|
auto fleet_ptr = framework::FleetWrapper::GetInstance();
|
|
fleet_ptr->PushSparseFromTensorWithLabelAsync(
|
|
scope, table_id, fea_dim, padding_id, scale_sparse, accesor, label_name,
|
|
ctx.GetPlace(), input_names, &inputs, &grads);
|
|
}
|
|
|
|
template <typename T>
|
|
class PullSparseCPUKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& ctx) const override {
|
|
PullSparseFunctor<T>(ctx);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
class PushSparseCPUKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& ctx) const override {
|
|
PushSparseFunctor<T>(ctx);
|
|
}
|
|
};
|
|
} // namespace operators
|
|
} // namespace paddle
|