/TensorFlow 2.4


Outputs deterministic pseudorandom random integers from a uniform distribution.

The generated values are uniform integers covering the whole range of dtype.

The outputs are a deterministic function of shape, key, counter and alg.

shape A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor.
key A Tensor of type uint64. Key for the counter-based RNG algorithm (shape uint64[1]).
counter A Tensor of type uint64. Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.
alg A Tensor of type int32. The RNG algorithm (shape int32[]).
dtype An optional tf.DType from: tf.int32, tf.int64, tf.uint32, tf.uint64. Defaults to tf.uint64. The type of the output.
name A name for the operation (optional).
A Tensor of type dtype.

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Code samples licensed under the Apache 2.0 License.