tf.raw_ops.RandomUniformInt

Outputs random integers from a uniform distribution.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RandomUniformInt

tf.raw_ops.RandomUniformInt(
    shape, minval, maxval, seed=0, seed2=0, name=None
)

The generated values are uniform integers in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is excluded.

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 Tensor. Must be one of the following types: int32, int64. The shape of the output tensor.
minval	A Tensor. Must be one of the following types: int32, int64. 0-D. Inclusive lower bound on the generated integers.
maxval	A Tensor. Must have the same type as minval. 0-D. Exclusive upper bound on the generated integers.
seed	An optional int. Defaults to 0. If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.
seed2	An optional int. Defaults to 0. A second seed to avoid seed collision.
name	A name for the operation (optional).

Returns
A Tensor. Has the same type as minval.