tf.raw_ops.StatefulUniform
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Outputs random values from a uniform distribution.
tf.raw_ops.StatefulUniform(
resource,
algorithm,
shape,
dtype=tf.dtypes.float32,
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 |
|---|
resource
|
A Tensor of type resource.
The handle of the resource variable that stores the state of the RNG.
|
algorithm
|
A Tensor of type int64. The RNG algorithm.
|
shape
|
A Tensor. The shape of the output tensor.
|
dtype
|
An optional tf.DType. Defaults to tf.float32.
The type of the output.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type dtype.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.StatefulUniform\n\n\u003cbr /\u003e\n\nOutputs random 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.raw_ops.StatefulUniform`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/StatefulUniform)\n\n\u003cbr /\u003e\n\n tf.raw_ops.StatefulUniform(\n resource,\n algorithm,\n shape,\n dtype=../../tf/dtypes#float32,\n name=None\n )\n\nThe generated values follow a uniform distribution in the range `[0, 1)`. The\nlower bound 0 is included in the range, while the upper bound 1 is excluded.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|------------------------------------------------------------------------------------------------------------------------|\n| `resource` | A `Tensor` of type `resource`. The handle of the resource variable that stores the state of the RNG. |\n| `algorithm` | A `Tensor` of type `int64`. The RNG algorithm. |\n| `shape` | A `Tensor`. The shape of the output tensor. |\n| `dtype` | An optional [`tf.DType`](../../tf/dtypes/DType). Defaults to [`tf.float32`](../../tf#float32). The type of the output. |\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 type `dtype`. ||\n\n\u003cbr /\u003e"]]
