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Small doc-string fixes for tf.constant.

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PiperOrigin-RevId: 346675259
Change-Id: I3df2fbba9da8f7b219e7b7619e6243d6a6524d83
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A. Unique TensorFlower 2020-12-09 17:36:10 -08:00 committed by TensorFlower Gardener
parent 5a08d776c6
commit 2090fe76f2
1 changed files with 4 additions and 4 deletions
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8
tensorflow/python/framework/constant_op.py
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@ -169,9 +169,9 @@ def constant(value, dtype=None, shape=None, name="Const"):
Note: All eager `tf.Tensor` values are immutable (in contrast to
`tf.Variable`). There is nothing especially _constant_ about the value
returned from `tf.constant`. This function it is not fundamentally different
from `tf.convert_to_tensor`. The name `tf.constant` comes from the `value`
being embeded in a `Const` node in the `tf.Graph`. `tf.constant` is useful
returned from `tf.constant`. This function is not fundamentally different from
`tf.convert_to_tensor`. The name `tf.constant` comes from the `value` being
embedded in a `Const` node in the `tf.Graph`. `tf.constant` is useful
for asserting that the value can be embedded that way.
If the argument `dtype` is not specified, then the type is inferred from
@ -188,7 +188,7 @@ def constant(value, dtype=None, shape=None, name="Const"):
array([[1, 2, 3],
[4, 5, 6]])>
If `dtype` is specified the resulting tensor values are cast to the requested
If `dtype` is specified, the resulting tensor values are cast to the requested
`dtype`.
>>> tf.constant([1, 2, 3, 4, 5, 6], dtype=tf.float64)