/* 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, 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. */ #include "paddle/framework/backward.h" #include "paddle/framework/net.h" #include "paddle/framework/op_registry.h" namespace paddle { namespace framework { static bool AllInSet(const std::vector& names, const std::string& suffix, const std::unordered_set& set) { for (auto& name : names) { if (set.find(name + suffix) == set.end()) { return false; } } return true; } static std::vector InSetIdx( const std::vector& names, const std::string& suffix, const std::unordered_set& set) { std::vector ret_val; ret_val.reserve(names.size()); for (size_t i = 0; i < names.size(); ++i) { if (set.find(names[i] + suffix) != set.end()) { ret_val.push_back(i); } } return ret_val; } static std::shared_ptr EmptyOp() { auto net_op = std::make_shared(); net_op->CompleteAddOp(); return net_op; } static void DeDuplicate(NetOp* net, std::unordered_se) static std::shared_ptr BackwardImpl( const OperatorBase& forwardOp, std::unordered_set& no_grad_names, unsigned& uniq_id) { if (AllInSet(forwardOp.inputs_, OperatorBase::GRAD_VAR_SUFFIX(), no_grad_names)) { return EmptyOp(); } if (AllInSet(forwardOp.outputs_, OperatorBase::GRAD_VAR_SUFFIX(), no_grad_names)) { for (auto& name : forwardOp.inputs_) { // Mark all input is not need no_grad_names.insert(name + OperatorBase::GRAD_VAR_SUFFIX()); } return EmptyOp(); } auto* net = new NetOp(); if (forwardOp.IsNetOp()) { //! TODO(dzh) std::unordered_map dup_output; std::unordered_map> dup_output_ops; const unsigned uniq_id_local = uniq_id; unsigned op_id_offset = 0; for (auto& fwd : forwardOp) { auto bwd = Backward(fwd, no_grad_names); net->AddOp(bwd); for (size_t i = 0; i < bwd.outputs_; ++i) { bwd->outputs_[i] += OperatorBase::EMPTY_VAR_NAME(); if (dup_output.find(bwd->inputs_[i]) == dup_output.end()) { dup_output[bwd->inputs_[i]] = 1; dup_output_ops[bwd->inputs_[i]] = std::vector{op_id_offset++}; } else { dup_output[bwd->inputs_[i]]++; dup_output_ops[bwd->inputs_[i]].emplace_back(op_id_offset++); } } } for (auto dup : dup_output) { if (dup.second == 1) continue; auto op_ids = dup_output_ops.at(dup.first); for (auto& op_id : op_ids) { auto& op_ptr = net->ops_[op_id]; for (size_t i = 0; i < op_ptr->inputs_.size(); ++i) { if (op_ptr->inputs_[i] == dup.first) { // unique the duplicate name op_ptr->inputs_[i] += std::to_string(uniq_id++); // TODO(dzh): need a generic add op here } } } } } else { //! TODO(fjy) std::shared_ptr grad_op = OpRegistry::CreateGradOp(forwardOp); for (std::string& grad_input : grad_op->inputs_) { if (no_grad_names.count(grad_input)) { std::string prefix = grad_input.substr( 0, grad_input.size() - OperatorBase::GRAD_VAR_SUFFIX().size()); grad_input = prefix + OperatorBase::ZERO_VAR_SUFFIX(); std::vector fill_zeros_in = {prefix}; std::vector fill_zeros_out = {grad_input}; net.AddOp(OpRegistry::CreateOp("fill_zeros_like", fill_zeros_in, fill_zeros_out, AttributeMap())); } } for (std::string& grad_output : grad_op->output_) { if (no_grad_names.count(grad_output)) { grad_output = OperatorBase::EMPTY_VAR_NAME(); } } net.AddOp(grad_op); } net->CompleteAddOp(); return std::shared_ptr(net); } extern std::shared_ptr Backward( const OperatorBase& forwardOp, const std::unordered_set& no_grad_vars) { std::unordered_set no_grad_names; no_grad_names.reserve(no_grad_vars.size()); for (auto& name : no_grad_vars) { no_grad_names.insert(name + OperatorBase::GRAD_VAR_SUFFIX()); } int uid = 0; return BackwardImpl(forwardOp, no_grad_names, uid); } } // namespace framework } // namespace paddle