tf.raw_ops.NonDeterministicInts
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Non-deterministically generates some integers.
tf.raw_ops.NonDeterministicInts(
shape,
dtype=tf.dtypes.int64,
name=None
)
This op may use some OS-provided source of non-determinism (e.g. an RNG), so each execution will give different results.
Args |
|---|
shape
|
A Tensor. The shape of the output tensor.
|
dtype
|
An optional tf.DType. Defaults to tf.int64.
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.NonDeterministicInts\n\n\u003cbr /\u003e\n\nNon-deterministically generates some integers.\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.NonDeterministicInts`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/NonDeterministicInts)\n\n\u003cbr /\u003e\n\n tf.raw_ops.NonDeterministicInts(\n shape,\n dtype=../../tf/dtypes#int64,\n name=None\n )\n\nThis op may use some OS-provided source of non-determinism (e.g. an RNG), so each execution will give different results.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|--------------------------------------------------------------------------------------------------------------------|\n| `shape` | A `Tensor`. The shape of the output tensor. |\n| `dtype` | An optional [`tf.DType`](../../tf/dtypes/DType). Defaults to [`tf.int64`](../../tf#int64). 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"]]
