Outputs random values from a uniform distribution.
tf.raw_ops.RandomUniform( shape, dtype, seed=0, seed2=0, name=None )
The generated values follow a uniform distribution in the range [0, 1)
. The lower bound 0 is included in the range, while the upper bound 1 is excluded.
Args | |
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shape | A Tensor . Must be one of the following types: int32 , int64 . The shape of the output tensor. |
dtype | A tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64 . The type of the output. |
seed | An optional int . Defaults to 0 . If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
seed2 | An optional int . Defaults to 0 . A second seed to avoid seed collision. |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type dtype . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RandomUniform