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108 lines
2.7 KiB
108 lines
2.7 KiB
# Copyright (c) 2016 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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"""
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Creator package contains some simple reader creator, which could be used in user
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program.
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"""
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__all__ = ['np_array', 'text_file', "recordio"]
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def np_array(x):
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"""
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Creates a reader that yields elements of x, if it is a
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numpy vector. Or rows of x, if it is a numpy matrix.
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Or any sub-hyperplane indexed by the highest dimension.
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:param x: the numpy array to create reader from.
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:returns: data reader created from x.
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"""
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def reader():
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if x.ndim < 1:
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yield x
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for e in x:
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yield e
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return reader
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def text_file(path):
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"""
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Creates a data reader that outputs text line by line from given text file.
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Trailing new line ('\\\\n') of each line will be removed.
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:path: path of the text file.
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:returns: data reader of text file
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"""
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def reader():
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f = open(path, "r")
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for l in f:
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yield l.rstrip('\n')
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f.close()
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return reader
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def recordio_local(paths):
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"""
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Creates a data reader that outputs record one one by one
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from given local recordio fils path.
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:path: path of recordio files.
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:returns: data reader of recordio files.
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"""
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import recordio as rec
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def reader():
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for i, path in enumerate(paths):
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f = rec.reader(path)
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while True:
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r = f.read()
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if r is None:
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break
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yield r
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f.close()
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return reader
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def recordio(paths, addr="", buf_size=100):
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"""
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Creates a data reader that outputs record one one by one
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from given local or cloud recordio path.
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:path: path of recordio files.
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:returns: data reader of recordio files.
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"""
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import os
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import paddle.v2.master.client as cloud
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if "KUBERNETES_SERVICE_HOST" not in os.environ.keys():
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return recordio_local(paths)
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def reader():
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c = cloud(addr, buf_size)
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c.set_dataset(paths)
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while True:
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r, err = client.next_record()
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if r is None:
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break
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yield r
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c.close()
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return reader
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