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paddlepaddle--paddle/paddle/fluid/operators/reader/create_py_reader_op.cc
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// 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/common/ddim.h"
#include "paddle/fluid/operators/reader/reader_op_registry.h"
#include "paddle/phi/core/operators/reader/py_reader.h"
namespace paddle::operators::reader {
class CreatePyReaderOp : public framework::OperatorBase {
public:
using framework::OperatorBase::OperatorBase;
private:
void RunImpl(const framework::Scope& scope,
const phi::Place& dev_place) const override {
auto* out = scope.FindVar(Output("Out"))
->template GetMutable<framework::ReaderHolder>();
if (out->Get() != nullptr) return;
const std::string& queue_name = Input("blocking_queue");
auto* queue_holder_var = scope.FindVar(queue_name);
PADDLE_ENFORCE_NOT_NULL(
queue_holder_var,
common::errors::NotFound(
"No DenseTensorBlockingQueueHolder variable with name %s found. "
"This "
"may be because the DataLoader is defined in another Scope, "
"which is different from the Scope when calling Executor.run.",
queue_name));
std::shared_ptr<DenseTensorBlockingQueue> queue;
std::shared_ptr<OrderedMultiDeviceDenseTensorBlockingQueue> ordered_queue;
int dev_idx = -1;
if (queue_holder_var->IsType<DenseTensorBlockingQueueHolder>()) {
queue =
queue_holder_var->Get<DenseTensorBlockingQueueHolder>().GetQueue();
} else if (queue_holder_var->IsType<
OrderedMultiDeviceDenseTensorBlockingQueueHolder>()) {
auto* queue_holder =
queue_holder_var
->GetMutable<OrderedMultiDeviceDenseTensorBlockingQueueHolder>();
dev_idx = Attr<int>("device_index");
ordered_queue = queue_holder->GetQueue();
ordered_queue->SetDeviceCount(Attr<int>("device_count"));
queue = ordered_queue->GetQueue(dev_idx);
}
/* Converting shape_concat and ranks into DDim of each data.
shape_concat and ranks are shapes and shape ranks of each data.E.g.
shape_concat = [2,3,4,5,6], ranks = [3,2] means two data whose shapes are
[2,3,4] and [5,6] respectively. */
auto& shape_concat = Attr<std::vector<int>>("shape_concat");
auto& ranks = Attr<std::vector<int>>("ranks");
int shape_start_index = 0;
std::vector<phi::DDim> dims;
for (auto rank : ranks) {
int shape_end_index = shape_start_index + rank;
auto shape = std::vector<int>(shape_concat.begin() + shape_start_index,
shape_concat.begin() + shape_end_index);
dims.push_back(common::make_ddim(shape));
shape_start_index = shape_end_index;
}
// Converts VarType from int to enum
auto& dtype_int = Attr<std::vector<int>>("dtypes");
std::vector<framework::proto::VarType::Type> var_types;
for (auto type_int : dtype_int) {
var_types.push_back(
static_cast<framework::proto::VarType::Type>(type_int));
}
// Converts need_check_feed from int to bool
auto& need_check_feed_int = Attr<std::vector<int>>("need_check_feed");
std::vector<bool> need_check_feed;
for (auto feed_int : need_check_feed_int) {
need_check_feed.push_back(static_cast<bool>(feed_int));
}
auto py_reader =
std::make_shared<PyReader>(queue, dims, var_types, need_check_feed);
if (ordered_queue) {
ordered_queue->SetResetMethod(dev_idx, [out] { out->Clear(); });
}
out->Reset(py_reader);
}
};
class CreatePyReaderOpMaker : public FileReaderMakerBase {
protected:
void Apply() override {
AddInput("blocking_queue",
"Name of the `DenseTensorBlockingQueueHolder` variable");
AddAttr<int>("device_index", "The device index this reader offers data")
.SetDefault(0);
AddAttr<int>("device_count",
"The total device number this reader offers data")
.SetDefault(1);
AddComment(R"DOC(
Create PyReader to support DenseTensor data feeding in Python side.
)DOC");
}
};
} // namespace paddle::operators::reader
namespace reader = ::paddle::operators::reader;
REGISTER_FILE_READER_OPERATOR(create_py_reader,
reader::CreatePyReaderOp,
reader::CreatePyReaderOpMaker);