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110 lines
3.3 KiB
110 lines
3.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <iostream>
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#include <memory>
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#include <string>
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#include <typeindex>
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#include <vector>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/selected_rows.h"
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#include "paddle/fluid/framework/tensor_util.h"
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#include "paddle/fluid/framework/var_type.h"
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#include "paddle/fluid/operators/distributed/distributed_pb.h"
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#include "paddle/fluid/platform/port.h"
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namespace paddle {
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namespace framework {
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class Tensor;
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class Variable;
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} // namespace framework
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namespace memory {
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namespace allocation {
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class Allocation;
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} // namespace allocation
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} // namespace memory
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namespace platform {
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class DeviceContext;
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} // namespace platform
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} // namespace paddle
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namespace paddle {
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namespace operators {
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namespace distributed {
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using VarMsg = sendrecv::VariableMessage;
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class TensorPayload final {
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public:
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explicit TensorPayload(const framework::Tensor& tensor);
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explicit TensorPayload(std::shared_ptr<memory::Allocation> allocation);
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TensorPayload(const TensorPayload& o) = default;
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TensorPayload& operator=(const TensorPayload& o) = default;
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void* ptr() const;
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size_t memory_size() const;
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private:
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std::shared_ptr<memory::Allocation> allocation_;
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size_t offset_;
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size_t memory_size_;
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};
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inline void SerializeDestroyCallback(void* payload) {
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if (payload != nullptr) {
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auto* shared_payload = reinterpret_cast<TensorPayload*>(payload);
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delete shared_payload;
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}
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}
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TensorPayload GetTensorPayload(framework::Variable* var,
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const platform::DeviceContext& ctx,
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VarMsg* request);
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TensorPayload GetSelectedRowsPayload(framework::Variable* var,
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const platform::DeviceContext& ctx,
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VarMsg* request);
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inline framework::proto::VarType::Type ToVarType(
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sendrecv::VariableMessage::Type type) {
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switch (type) {
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case sendrecv::VariableMessage::FP32:
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return framework::proto::VarType::FP32; // NOLINT
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case sendrecv::VariableMessage::FP64:
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return framework::proto::VarType::FP64; // NOLINT
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case sendrecv::VariableMessage::INT32:
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return framework::proto::VarType::INT32; // NOLINT
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case sendrecv::VariableMessage::INT64:
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return framework::proto::VarType::INT64; // NOLINT
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case sendrecv::VariableMessage::BOOL:
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return framework::proto::VarType::BOOL; // NOLINT
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default:
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PADDLE_THROW("Not support type %d", type);
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}
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}
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template <template <typename> class T, typename Elem>
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std::string VectorElemName(const T<Elem>& arg) {
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return typeid(Elem).name();
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}
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} // namespace distributed
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} // namespace operators
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} // namespace paddle
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