tf.raw_ops.RandomUniform
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 | |
|---|---|
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/RandomUniform