experiments/STT-tensorflow
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Merge pull request #37281 from Ir1d:master

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PiperOrigin-RevId: 302455502
Change-Id: Ic4963a73bff2d88ca7ad7dd52b54003d0072fa14
This commit is contained in:
TensorFlower Gardener 2020-03-23 10:00:44 -07:00
commit 506287350f
1 changed files with 28 additions and 2 deletions
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30
tensorflow/python/keras/backend.py
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@ -1497,7 +1497,8 @@ def random_uniform_variable(shape, low, high, dtype=None, name=None, seed=None):
Example:
>>> kvar = tf.keras.backend.random_uniform_variable((2,3), 0, 1)
>>> kvar = tf.keras.backend.random_uniform_variable(shape=(2,3),
... low=0.0, high=1.0)
>>> kvar
<tf.Variable 'Variable:0' shape=(2, 3) dtype=float32, numpy=...,
dtype=float32)>
@ -1531,7 +1532,8 @@ def random_normal_variable(shape, mean, scale, dtype=None, name=None,
Example:
>>> kvar = tf.keras.backend.random_normal_variable((2,3), 0, 1)
>>> kvar = tf.keras.backend.random_normal_variable(shape=(2,3),
... mean=0.0, scale=1.0)
>>> kvar
<tf.Variable 'Variable:0' shape=(2, 3) dtype=float32, numpy=...,
dtype=float32)>
@ -5671,6 +5673,14 @@ def random_normal(shape, mean=0.0, stddev=1.0, dtype=None, seed=None):
Returns:
A tensor with normal distribution of values.
Example:
>>> random_normal_tensor = tf.keras.backend.random_normal(shape=(2,3),
... mean=0.0, stddev=1.0)
>>> random_normal_tensor
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
dtype=float32)>
"""
if dtype is None:
dtype = floatx()
@ -5695,6 +5705,14 @@ def random_uniform(shape, minval=0.0, maxval=1.0, dtype=None, seed=None):
Returns:
A tensor.
Example:
>>> random_uniform_tensor = tf.keras.backend.random_uniform(shape=(2,3),
... minval=0.0, maxval=1.0)
>>> random_uniform_tensor
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
dtype=float32)>
"""
if dtype is None:
dtype = floatx()
@ -5723,6 +5741,14 @@ def random_binomial(shape, p=0.0, dtype=None, seed=None):
Returns:
A tensor.
Example:
>>> random_binomial_tensor = tf.keras.backend.random_binomial(shape=(2,3),
... p=0.5)
>>> random_binomial_tensor
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
dtype=float32)>
"""
if dtype is None:
dtype = floatx()