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

Align docstring indentation in init_ops_v2.

Browse Source 
PiperOrigin-RevId: 338723286
Change-Id: I772aa9794a48827b276b0765988ef4c0c9bc85d5
This commit is contained in:
Rick Chao 2020-10-23 12:28:09 -07:00 committed by TensorFlower Gardener
parent 09a9081bd3
commit f7b8dffda3
1 changed files with 8 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
tensorflow/python/ops/init_ops_v2.py
View File

@ -58,14 +58,14 @@ class Initializer(object):
of `tf.float32`.
**kwargs: Additional keyword arguments. Accepted values:
`partition_shape` and `partition_offset`. Used when creating a single
partition in a partitioned variable. `partition_shape` is the shape
of the partition (i.e. the shape of the returned tensor) and
`partition_offset` is a tuple of `int` specifying the offset of this
partition w.r.t each axis. For example, a tensor of shape `(30, 100)`
can be partitioned into two partitions: `p0` of shape `(10, 100)` and
`p1` of shape `(20, 100)`; if the initializer is called with
`partition_shape=(20, 100)` and `partition_offset=(10, 0)`, it should
return the value for `p1`.
partition in a partitioned variable. `partition_shape` is the shape of
the partition (i.e. the shape of the returned tensor) and
`partition_offset` is a tuple of `int` specifying the offset of this
partition w.r.t each axis. For example, a tensor of shape `(30, 100)`
can be partitioned into two partitions: `p0` of shape `(10, 100)` and
`p1` of shape `(20, 100)`; if the initializer is called with
`partition_shape=(20, 100)` and `partition_offset=(10, 0)`, it should
return the value for `p1`.
"""
raise NotImplementedError