85 lines
3.3 KiB
C++
85 lines
3.3 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/variable_helper.h"
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#include "paddle/fluid/framework/dense_tensor_array.h"
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#include "paddle/fluid/framework/feed_fetch_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/selected_rows_utils.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/framework/reader.h"
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#include "paddle/phi/core/vocab/string_array.h"
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namespace paddle::framework {
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void InitializeVariable(Variable *var, proto::VarType::Type var_type) {
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if (var_type == proto::VarType::DENSE_TENSOR) {
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var->GetMutable<DenseTensor>();
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} else if (var_type == proto::VarType::SELECTED_ROWS) {
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var->GetMutable<phi::SelectedRows>();
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} else if (var_type == proto::VarType::FEED_MINIBATCH) {
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var->GetMutable<FeedList>();
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} else if (var_type == proto::VarType::FETCH_LIST) {
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var->GetMutable<FetchList>();
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} else if (var_type == proto::VarType::STEP_SCOPES) {
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var->GetMutable<std::vector<framework::Scope *>>();
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} else if (var_type == proto::VarType::DENSE_TENSOR_ARRAY) {
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var->GetMutable<phi::TensorArray>();
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} else if (var_type == proto::VarType::STRINGS) {
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var->GetMutable<Strings>();
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} else if (var_type == proto::VarType::VOCAB) {
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var->GetMutable<Vocab>();
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} else if (var_type == proto::VarType::PLACE_LIST) {
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var->GetMutable<phi::PlaceList>();
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} else if (var_type == proto::VarType::READER) {
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var->GetMutable<ReaderHolder>();
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} else if (var_type == proto::VarType::RAW) {
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// GetMutable will be called in operator
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} else if (var_type == proto::VarType::SPARSE_COO) {
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var->GetMutable<phi::SparseCooTensor>();
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} else {
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PADDLE_THROW(common::errors::Unavailable(
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"Variable type %d is not in "
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"[DENSE_TENSOR, SELECTED_ROWS, FEED_MINIBATCH, FETCH_LIST, "
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"LOD_RANK_TABLE, PLACE_LIST, READER, RAW].",
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var_type));
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}
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}
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void CopyVariable(const Variable &src_var, Variable *dst_var) {
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// only support cpu now
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auto cpu_place = CPUPlace();
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if (src_var.IsType<DenseTensor>()) {
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auto *tmp_grad_tensor = dst_var->GetMutable<DenseTensor>();
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auto &src_tensor = src_var.Get<DenseTensor>();
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tmp_grad_tensor->set_lod(src_tensor.lod());
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framework::TensorCopy(src_tensor, cpu_place, tmp_grad_tensor);
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} else if (src_var.IsType<phi::SelectedRows>()) {
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auto &src_slr = src_var.Get<phi::SelectedRows>();
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auto *tmp_grad_slr = dst_var->GetMutable<phi::SelectedRows>();
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tmp_grad_slr->set_rows(src_slr.rows());
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tmp_grad_slr->set_height(src_slr.height());
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auto &src_t = src_slr.value();
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auto *dst_t = tmp_grad_slr->mutable_value();
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framework::TensorCopy(src_t, cpu_place, dst_t);
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} else {
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PADDLE_THROW(common::errors::Unavailable("Unknown variable type to copy."));
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}
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}
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} // namespace paddle::framework
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