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