wehub-resource-sync
116 lines
4.0 KiB
C++
116 lines
4.0 KiB
C++
/* Copyright (c) 2016 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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#include "paddle/fluid/framework/feed_fetch_method.h"
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#include <string>
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#include "glog/logging.h"
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COMMON_DECLARE_bool(enable_pir_in_executor);
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namespace phi {
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class DenseTensor;
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} // namespace phi
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namespace paddle::framework {
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class Variable;
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void SetVariable(Scope* scope,
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const DenseTensor& input,
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const std::string& var_name) {
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Variable* target_var = scope->FindVar(var_name);
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if (target_var && !target_var->IsType<DenseTensor>()) {
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PADDLE_THROW(common::errors::InvalidArgument(
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"The variable you want to set is not a DenseTensor, but here "
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"you tried to convert its type to DenseTensor."));
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}
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target_var = scope->Var(var_name);
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auto tensor = target_var->GetMutable<DenseTensor>();
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tensor->ShareDataWith(input);
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tensor->set_lod(input.lod());
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}
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void SetFeedVariable(Scope* scope,
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const DenseTensor& input,
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const std::string& var_name,
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size_t index) {
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// If var_name Variable is not found in GlobalScope, a new variable will
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// be created.
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VLOG(3) << "SetFeedVariable name=" << var_name << " index=" << index;
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if (FLAGS_enable_pir_in_executor) {
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// shared data with input tensor
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auto feed_ele = scope->Var(var_name);
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if (!feed_ele->IsType<DenseTensor>()) {
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VLOG(3) << "Reset " << var_name << " to DenseTensor";
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feed_ele->Clear();
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}
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auto val = feed_ele->GetMutable<DenseTensor>();
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val->ShareDataWith(input);
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// set lod
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val->set_lod(input.lod());
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} else {
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Variable* g_feed_value = scope->Var(var_name);
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auto& feed_inputs = *(g_feed_value->GetMutable<FeedList>());
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if (index >= feed_inputs.size()) {
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feed_inputs.resize(index + 1);
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}
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// shared data with input tensor
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auto& val = feed_inputs[index];
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val.ShareDataWith(input);
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// set lod
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val.set_lod(input.lod());
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}
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}
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FetchType& GetFetchVariable(const Scope& scope,
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const std::string& var_name,
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size_t index) {
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// Since we want to fetch FetchType from a variable, the variable must
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// be created already.
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Variable* g_fetch_value = scope.FindVar(var_name);
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PADDLE_ENFORCE_NOT_NULL(
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g_fetch_value,
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common::errors::NotFound("Variable %s is not found in scope.", var_name));
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PADDLE_ENFORCE_EQ(g_fetch_value->IsType<FetchList>(),
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true,
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common::errors::InvalidArgument(
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"Only %s can be invoked by GetFetchVariable",
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typeid(FetchList).name()));
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auto& fetch_outputs = *g_fetch_value->GetMutable<FetchList>();
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auto& tensor = fetch_outputs[index];
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VLOG(3) << "Fetch " << var_name << " with index " << index;
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PADDLE_ENFORCE_LT(index,
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fetch_outputs.size(),
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common::errors::InvalidArgument(
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"index must less than fetch_outputs size."));
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return tensor;
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}
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DenseTensor& GetVariableTensor(const Scope& scope,
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const std::string& var_name) {
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Variable* var = scope.FindVar(var_name);
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PADDLE_ENFORCE_NOT_NULL(
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var,
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common::errors::NotFound("Variable %s is not found in scope.", var_name));
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PADDLE_ENFORCE_EQ(var->IsType<DenseTensor>(),
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true,
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common::errors::InvalidArgument(
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"Only support DenseTensor in GetVariableTensor now."));
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return *var->GetMutable<DenseTensor>();
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}
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} // namespace paddle::framework
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