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119 lines
4.4 KiB
119 lines
4.4 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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WITHOpArgType::OUT WARRANTIES OR CONDITIONS OF ANY KOpArgType::IND, either
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express or implied. See the License for the specific language governing
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permissions and limitations under the License. */
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#include "paddle/framework/grad_op_builder.h"
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#include "paddle/framework/op_proto.pb.h"
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#include "paddle/framework/op_registry.h"
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namespace paddle {
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namespace framework {
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typedef std::vector<int> Ints;
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enum class OpArgType { IN, OUT };
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const Ints* AttrFormat(const AttributeMap& attrs, const std::string& key) {
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return (attrs.count(key) > 0) ? &boost::get<Ints>(attrs.at(key)) : nullptr;
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}
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Ints* AttrFormat(AttributeMap& attrs, const std::string& key) {
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return (attrs.count(key) > 0) ? &boost::get<Ints>(attrs.at(key)) : nullptr;
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}
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static void TransOpArg(const OperatorBase* src_op,
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std::vector<std::string>& grad_inputs,
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std::vector<std::string>& grad_outputs,
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AttributeMap& grad_attrs,
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std::unordered_map<std::string, int>& grad_idxs,
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const std::string& src_type, const std::string& dst_type,
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int& idx, bool is_grad) {
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const std::vector<std::string>& src_inout =
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(src_type == "input_format") ? src_op->inputs_ : src_op->outputs_;
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const std::vector<int>* src_format = AttrFormat(src_op->Attrs(), src_type);
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std::vector<std::string>& dst_inout =
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(dst_type == "input_format") ? grad_inputs : grad_outputs;
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std::vector<int>* dst_format = AttrFormat(grad_attrs, dst_type);
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const OpProto& proto = OpRegistry::protos().at(src_op->type_);
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const auto& src_arg_list =
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(src_type == "input_format") ? proto.inputs() : proto.outputs();
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for (const auto& arg : src_arg_list) {
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std::string src_name = arg.name();
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std::string dst_name = is_grad ? src_name + kGradVarSuffix : src_name;
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grad_idxs[dst_name] = idx++;
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int src_arg_idx = src_op->in_out_idxs_->at(src_name);
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int src_begin =
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src_format == nullptr ? src_arg_idx : src_format->at(src_arg_idx);
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int src_end = src_format == nullptr ? src_arg_idx + 1
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: src_format->at(src_arg_idx + 1);
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for (int i = src_begin; i < src_end; ++i) {
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std::string s =
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is_grad ? src_inout[i] + kGradVarSuffix
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: (arg.ignore_gradient() ? kEmptyVarName : src_inout[i]);
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dst_inout.emplace_back(s);
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}
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if (dst_format != nullptr) {
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dst_format->push_back(dst_inout.size());
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}
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}
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}
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OperatorBase* BuildGradOp(const OperatorBase* op) {
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const std::string& grad_op_type = OpRegistry::grad_ops().at(op->Type());
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AttributeMap grad_attrs(op->Attrs());
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grad_attrs.erase("input_format");
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grad_attrs.erase("output_format");
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if (op->Attrs().count("input_format") > 0) {
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grad_attrs["output_format"] = std::vector<int>({0});
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}
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if (op->Attrs().count("input_format") > 0 ||
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op->Attrs().count("output_format") > 0) {
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grad_attrs["input_format"] = std::vector<int>({0});
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}
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std::vector<std::string> grad_inputs, grad_outputs;
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using VarIndexMap = std::unordered_map<std::string, int>;
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VarIndexMap* grad_idxs = new VarIndexMap;
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int in_idx = 0;
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int out_idx = 0;
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TransOpArg(op, grad_inputs, grad_outputs, grad_attrs, *grad_idxs,
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"input_format", "input_format", in_idx, false); // I
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TransOpArg(op, grad_inputs, grad_outputs, grad_attrs, *grad_idxs,
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"output_format", "input_format", in_idx, false); // G
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TransOpArg(op, grad_inputs, grad_outputs, grad_attrs, *grad_idxs,
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"output_format", "input_format", in_idx, true); // OG
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TransOpArg(op, grad_inputs, grad_outputs, grad_attrs, *grad_idxs,
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"input_format", "output_format", out_idx, true); // IG
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OperatorBase* grad_op = OpRegistry::op_creators().at(grad_op_type)();
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grad_op->type_ = grad_op_type;
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grad_op->inputs_ = grad_inputs;
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grad_op->outputs_ = grad_outputs;
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grad_op->attrs_ = grad_attrs;
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grad_op->in_out_idxs_.reset(grad_idxs);
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return grad_op;
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}
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} // namespace framework
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} // namespace paddle
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