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Diffstat (limited to 'tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.random_uniform_initializer.md')
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.random_uniform_initializer.md | 25 |
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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.random_uniform_initializer.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.random_uniform_initializer.md deleted file mode 100644 index 65cf607305..0000000000 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.random_uniform_initializer.md +++ /dev/null @@ -1,25 +0,0 @@ -Initializer that generates tensors with a uniform distribution. - -Args: - minval: A python scalar or a scalar tensor. Lower bound of the range - of random values to generate. - maxval: A python scalar or a scalar tensor. Upper bound of the range - of random values to generate. Defaults to 1 for float types. - seed: A Python integer. Used to create random seeds. See - [`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed) - for behavior. - dtype: The data type. -- - - - -#### `tf.random_uniform_initializer.__call__(shape, dtype=None, partition_info=None)` {#random_uniform_initializer.__call__} - - - - -- - - - -#### `tf.random_uniform_initializer.__init__(minval=0, maxval=None, seed=None, dtype=tf.float32)` {#random_uniform_initializer.__init__} - - - - |