tf.random.stateless_uniform
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Outputs deterministic pseudorandom values from a uniform distribution.
tf.random.stateless_uniform(
shape, seed, minval=0, maxval=None, dtype=tf.dtypes.float32, name=None
)
This is a stateless version of tf.random.uniform: if run twice with the
same seeds, it will produce the same pseudorandom numbers. The output is
consistent across multiple runs on the same hardware (and between CPU
and GPU), but may change between versions of TensorFlow or on non-CPU/GPU
hardware.
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.
|
seed
|
A shape [2] integer Tensor of seeds to the random number generator.
|
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.
|
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.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.random.stateless_uniform\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/random/stateless_uniform) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.1.0/tensorflow/python/ops/stateless_random_ops.py#L36-L102) |\n\nOutputs deterministic pseudorandom values from a uniform distribution.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.random.stateless_uniform`](/api_docs/python/tf/random/stateless_uniform)\n\n\u003cbr /\u003e\n\n tf.random.stateless_uniform(\n shape, seed, minval=0, maxval=None, dtype=tf.dtypes.float32, name=None\n )\n\nThis is a stateless version of [`tf.random.uniform`](../../tf/random/uniform): if run twice with the\nsame seeds, it will produce the same pseudorandom numbers. The output is\nconsistent across multiple runs on the same hardware (and between CPU\nand GPU), but may change between versions of TensorFlow or on non-CPU/GPU\nhardware.\n\nThe generated values follow a uniform distribution in the range\n`[minval, maxval)`. The lower bound `minval` is included in the range, while\nthe upper bound `maxval` is excluded.\n\nFor floats, the default range is `[0, 1)`. For ints, at least `maxval` must\nbe specified explicitly.\n\nIn the integer case, the random integers are slightly biased unless\n`maxval - minval` is an exact power of two. The bias is small for values of\n`maxval - minval` significantly smaller than the range of the output (either\n`2**32` or `2**64`).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `shape` | A 1-D integer Tensor or Python array. The shape of the output tensor. |\n| `seed` | A shape \\[2\\] integer Tensor of seeds to the random number generator. |\n| `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. |\n| `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. |\n| `dtype` | The type of the output: `float16`, `float32`, `float64`, `int32`, or `int64`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor of the specified shape filled with random uniform values. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|-------------------------------------------------------|\n| `ValueError` | If `dtype` is integral and `maxval` is not specified. |\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub