move python reader api to fluid.io module, test=develop (#19143)
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# 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
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be used in user 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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Args:
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path (str): path of the text file.
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Returns:
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callable: 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(paths, buf_size=100):
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"""
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Creates a data reader from given RecordIO file paths separated
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by ",", glob pattern is supported.
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Args:
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paths (str|list(str)): path of recordio files.
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buf_size (int): prefetched buffer size.
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Returns:
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callable: data reader of recordio files.
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"""
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import recordio as rec
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import paddle.reader.decorator as dec
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import six
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import six.moves.cPickle as pickle
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def reader():
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if isinstance(paths, six.string_types):
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path = paths
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elif isinstance(paths, six.binary_type):
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path = paths.decode()
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else:
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path = ",".join(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 pickle.loads(r)
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f.close()
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return dec.buffered(reader, buf_size)
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@ -1,2 +1 @@
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py_test(creator_test SRCS creator_test.py)
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py_test(decorator_test SRCS decorator_test.py)
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py_test(decorator_test SRCS decorator_test.py)
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@ -1,75 +0,0 @@
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# Copyright (c) 2018 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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# Copyright PaddlePaddle contributors. All Rights Reservedd
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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 os
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import unittest
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import numpy as np
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import paddle.reader.creator
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import six
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class TestNumpyArray(unittest.TestCase):
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def test_numpy_array(self):
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l = [[1, 2, 3], [4, 5, 6]]
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x = np.array(l, np.int32)
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reader = paddle.reader.creator.np_array(x)
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for idx, e in enumerate(reader()):
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six.assertCountEqual(self, e, l[idx])
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class TestTextFile(unittest.TestCase):
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def test_text_file(self):
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path = os.path.join(os.path.dirname(__file__), "test_data_creator.txt")
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reader = paddle.reader.creator.text_file(path)
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for idx, e in enumerate(reader()):
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self.assertEqual(e, str(idx * 2) + " " + str(idx * 2 + 1))
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class TestRecordIO(unittest.TestCase):
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def do_test(self, path):
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reader = paddle.reader.creator.recordio(path)
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idx = 0
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for e in reader():
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if idx == 0:
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self.assertEqual(e, (1, 2, 3))
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elif idx == 1:
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self.assertEqual(e, (4, 5, 6))
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idx += 1
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self.assertEqual(idx, 2)
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def test_recordIO(self):
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self.do_test(
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os.path.join(
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os.path.dirname(__file__), "test_reader_recordio.dat"))
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self.do_test([
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os.path.join(
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os.path.dirname(__file__), "test_reader_recordio.dat")
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])
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if __name__ == '__main__':
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unittest.main()
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