experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

tf.gfile is now tf.io.gfile.

Browse Source 
PiperOrigin-RevId: 293818901
Change-Id: I51746a055ca608a2a8b0cfb8696f7f33ca84fd53
This commit is contained in:
A. Unique TensorFlower 2020-02-07 08:29:21 -08:00 committed by TensorFlower Gardener
parent bc1459f360
commit 925be1049d
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
tensorflow/python/platform/gfile.py
View File

@ -41,21 +41,21 @@ from tensorflow.python.util.tf_export import tf_export
class GFile(_FileIO): class GFile(_FileIO):
"""File I/O wrappers without thread locking. """File I/O wrappers without thread locking.
The main roles of the `tf.gfile` module are: The main roles of the `tf.io.gfile` module are:
1. To provide an API that is close to Python's file I/O objects, and 1. To provide an API that is close to Python's file I/O objects, and
2. To provide an implementation based on TensorFlow's C++ FileSystem API. 2. To provide an implementation based on TensorFlow's C++ FileSystem API.
The C++ FileSystem API supports multiple file system implementations, The C++ FileSystem API supports multiple file system implementations,
including local files, Google Cloud Storage (using a `gs://` prefix, and including local files, Google Cloud Storage (using a `gs://` prefix, and
HDFS (using an `hdfs://` prefix). TensorFlow exports these as `tf.gfile`, HDFS (using an `hdfs://` prefix). TensorFlow exports these as `tf.io.gfile`,
so that you can use these implementations for saving and loading checkpoints, so that you can use these implementations for saving and loading checkpoints,
writing to TensorBoard logs, and accessing training data (among other uses). writing to TensorBoard logs, and accessing training data (among other uses).
However, if all your files are local, you can use the regular Python file However, if all your files are local, you can use the regular Python file
API without any problem. API without any problem.
*Note*: though similar to Python's I/O implementation, there are semantic *Note*: though similar to Python's I/O implementation, there are semantic
differences to make `tf.gfile` more efficient for backing filesystems. For differences to make `tf.io.gfile` more efficient for backing filesystems. For
example, a write mode file will not be opened until the first write call, to example, a write mode file will not be opened until the first write call, to
minimize RPC invocations in network filesystems. minimize RPC invocations in network filesystems.
""" """