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6dcfd97a
编写于
4月 04, 2018
作者:
F
fengjiayi
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python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
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未找到文件。
python/paddle/fluid/layers/io.py
浏览文件 @
6dcfd97a
...
@@ -293,8 +293,40 @@ def open_files(filenames,
...
@@ -293,8 +293,40 @@ def open_files(filenames,
dtypes
,
dtypes
,
thread_num
,
thread_num
,
buffer_size
=
None
):
buffer_size
=
None
):
"""
Open files
This layer takes a list of files to read from and returns a Reader Variable. Via the Reader Variable, we can get data from given files.
Args:
filenames(list): The list of file names.
shapes(list): List of tuples which declaring data shapes.
lod_levels(list): List of ints which declaring data lod_level.
dtypes(list): List of strs which declaring data type.
thread_num(int): The maximal concurrent prefetch thread number.
buffer_size(int): The size of prefetch buffer.
Returns:
Variable: A Reader Variable via which we can get file data.
Examples:
.. code-block:: python
reader = fluid.layers.open_files(filenames=['./data1.recordio',
'./data2.recordio'],
shapes=[(3,224,224), (1)],
lod_levels=[0, 0],
dtypes=['float32', 'int64'],
thread_num=2,
buffer_size=2)
# Via the reader, we can use 'read_file' layer to get data:
image, label = fluid.layers.read_file(reader)
"""
if
buffer_size
is
None
:
if
buffer_size
is
None
:
buffer_size
=
thread_num
buffer_size
=
thread_num
if
isinstance
(
filenames
,
basestring
):
filenames
=
[
filenames
]
dtypes
=
[
convert_np_dtype_to_dtype_
(
dt
)
for
dt
in
dtypes
]
dtypes
=
[
convert_np_dtype_to_dtype_
(
dt
)
for
dt
in
dtypes
]
shape_concat
=
[]
shape_concat
=
[]
ranks
=
[]
ranks
=
[]
...
...
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