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122 lines
3.4 KiB
122 lines
3.4 KiB
/* Copyright (c) 2019 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 <string>
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#include <unordered_map>
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#include <unordered_set>
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#include <vector>
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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namespace fusion_group {
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struct Operation {
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Operation() = default;
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Operation(int t, int n, std::string o, std::vector<std::string> e,
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std::vector<std::string> i_n, std::vector<std::string> o_n)
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: type(t),
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num_operands(n),
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op_type(o),
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exprs(e),
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input_names(i_n),
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output_names(o_n) {}
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bool IsGradOp() {
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std::string suffix = "_grad";
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size_t pos = op_type.rfind(suffix);
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return pos != std::string::npos &&
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pos == (op_type.length() - suffix.length());
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}
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bool IsValid() {
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if (!IsGradOp() && exprs.size() != 1U) {
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// When it is a forward operation, it should hold only one expression (for
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// only one output).
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return false;
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}
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if (IsGradOp() && exprs.size() != static_cast<size_t>(num_operands)) {
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// When it is a backward opertion, it should hold a expression for each
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// operand.
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return false;
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}
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return true;
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}
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int type;
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int num_operands;
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std::string op_type;
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std::vector<std::string> exprs;
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std::vector<std::string> input_names;
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std::vector<std::string> output_names;
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};
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class OperationMap {
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public:
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OperationMap();
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static OperationMap& Instance() {
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PADDLE_ENFORCE_NOT_NULL(
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map, platform::errors::PreconditionNotMet(
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"Please initialize OperationMap first, by calling "
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"framework::fusion_group::OperationMap::Init()!"));
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return *map;
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}
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static OperationMap& Init() {
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if (map == nullptr) {
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map = new OperationMap();
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}
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return *map;
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}
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std::unordered_set<std::string> Find(int type);
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bool Has(std::string op_type) {
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return operations_.find(op_type) != operations_.end();
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}
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Operation& Get(std::string op_type) {
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auto iter = operations_.find(op_type);
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PADDLE_ENFORCE_NE(iter, operations_.end(),
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platform::errors::Unimplemented(
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"Operation %s is not supported yet.", op_type));
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return iter->second;
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}
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private:
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void Insert(int type, int num_operands, std::string op_type, std::string expr,
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std::vector<std::string> grad_exprs,
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std::vector<std::string> input_names,
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std::vector<std::string> output_names);
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void InsertUnaryElementwiseOperations();
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void InsertBinaryElementwiseOperations();
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void InsertMultivariateElementwiseOperations();
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private:
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static OperationMap* map;
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std::unordered_map<std::string, Operation> operations_;
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DISABLE_COPY_AND_ASSIGN(OperationMap);
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};
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} // namespace fusion_group
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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