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142 lines
4.3 KiB
142 lines
4.3 KiB
# Copyright (c) 2019 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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import core
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import six
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import threading
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from .framework import Program, Variable, program_guard
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from .data_feeder import DataFeeder
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__all__ = ['PyReader']
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def _convert_places(places):
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if not isinstance(places, (list, tuple)):
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places = [places]
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ret = []
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for p in places:
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if not isinstance(p, core.Place):
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tmp = core.Place()
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tmp.set_place(p)
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p = tmp
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ret.append(p)
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return ret
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class PyReader(object):
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def __init__(self, feed_list, places, capacity, multi_queue=True):
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self._tensor_reader = None
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self._thread = None
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# TODO(zjl): to support drop_last = False
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self._drop_last = True
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self._feed_list = feed_list
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self._var_names = [v.name for v in feed_list]
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self._queues = []
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self._places = _convert_places(places)
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self._queue_capacity = capacity
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queue_num = len(self._places) if multi_queue else 1
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for _ in six.moves.range(queue_num):
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self._queues.append(
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core.init_lod_tensor_blocking_queue(core.Variable(),
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self._queue_capacity))
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self._reader = core.create_py_reader(self._queues, self._var_names,
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self._places, self._drop_last)
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self._exited = True
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def __call__(self):
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assert self._tensor_reader is not None, \
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"Data source of PyReader has not set yet"
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class Iterator(object):
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def __init__(self, reader):
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self._reader = reader
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def __iter__(self):
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return self
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def next(self):
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ret = self._reader._reader.read_next()
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if len(ret):
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return ret
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else:
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self._reader._restart_reader()
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self._reader._reader.reset()
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raise StopIteration
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return Iterator(self)
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def _restart_reader(self):
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if not self._exited:
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for q in self._queues:
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q.close()
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self._thread.join()
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def __thread_main__():
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queue_num = len(self._queues)
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idx = 0
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for tensors in self._tensor_reader():
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array = core.LoDTensorArray()
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for item in tensors:
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if not isinstance(item, core.LoDTensor):
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tmp = core.LoDTensor()
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tmp.set(item, core.CPUPlace())
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item = tmp
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array.append(item)
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if not self._queues[idx].push(array):
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break
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idx = (idx + 1) % queue_num
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for q in self._queues:
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q.close()
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self._exited = True
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self._thread = threading.Thread(target=__thread_main__)
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self._thread.daemon = True
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self._exited = False
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self._thread.start()
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def set_numpy_reader(self, reader):
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assert self._tensor_reader is None, \
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"Cannot reset the data source of PyReader"
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with program_guard(Program(), Program()):
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feeder = DataFeeder(
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feed_list=self._feed_list, place=core.CPUPlace())
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paddle_reader = feeder.decorate_reader(reader, multi_devices=False)
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def __tensor_reader_impl__():
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for slots in paddle_reader():
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yield [slots[var.name] for var in self._feed_list]
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self.set_tensor_reader(__tensor_reader_impl__)
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def set_tensor_reader(self, reader):
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assert self._tensor_reader is None, \
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"Cannot reset the data source of PyReader"
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self._tensor_reader = reader
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self._restart_reader()
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