tf.random.uniform
Outputs random values from a uniform distribution.
tf.random.uniform(
shape, minval=0, maxval=None, dtype=tf.dtypes.float32, seed=None, name=None
)
The generated values follow a uniform distribution in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is excluded.
For floats, the default range is [0, 1). For ints, at least maxval must be specified explicitly.
In the integer case, the random integers are slightly biased unless maxval - minval is an exact power of two. The bias is small for values of maxval - minval significantly smaller than the range of the output (either 2**32 or 2**64).
| Args | |
|---|---|
shape |
A 1-D integer Tensor or Python array. The shape of the output tensor. |
minval |
A 0-D Tensor or Python value of type dtype. The lower bound on the range of random values to generate. Defaults to 0. |
maxval |
A 0-D Tensor or Python value of type dtype. The upper bound on the range of random values to generate. Defaults to 1 if dtype is floating point. |
dtype |
The type of the output: float16, float32, float64, int32, or int64. |
seed |
A Python integer. Used to create a random seed for the distribution. See tf.compat.v1.set_random_seed for behavior. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
| A tensor of the specified shape filled with random uniform values. |
| Raises | |
|---|---|
ValueError |
If dtype is integral and maxval is not specified. |
© 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/r1.15/api_docs/python/tf/random/uniform