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52 lines
1.8 KiB
52 lines
1.8 KiB
7 years ago
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include "paddle/fluid/framework/details/fuse_vars_op_handle.h"
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namespace paddle {
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namespace framework {
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namespace details {
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void FuseVarsOpHandle::RunImpl() {
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WaitInputVarGenerated(place_);
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auto in_var_handles = DynamicCast<VarHandle>(this->Inputs());
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auto out_var_handles = DynamicCast<VarHandle>(this->Outputs());
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PADDLE_ENFORCE_EQ(in_var_handles.size(), 0);
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PADDLE_ENFORCE_EQ(out_var_handles.size() - 1, inputs_numel_.size(), "");
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auto scope = local_scope_->FindVar(kLocalExecScopeName)->Get<Scope *>();
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auto out_var_handle = out_var_handles[0];
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auto out_var = scope->Var(out_var_handle->name_);
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auto out_tensor = out_var->GetMutable<LoDTensor>();
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out_tensor->Resize({total_numel_}).mutable_data(this->place_, type_);
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int64_t s = 0;
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for (size_t i = 1; i < out_var_handles.size(); ++i) {
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auto out_name = out_var_handles[i]->name_;
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auto out_t = scope->Var(out_name)->GetMutable<LoDTensor>();
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auto numel = this->inputs_numel_.at(out_name);
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out_t->ShareDataWith(out_tensor->Slice(s, s + numel));
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s += numel;
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}
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this->RunAndRecordEvent([this] {});
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}
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std::string FuseVarsOpHandle::Name() const { return "fuse vars"; }
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} // namespace details
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} // namespace framework
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} // namespace paddle
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