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