tf.raw_ops.ExperimentalRandomDataset

Creates a Dataset that returns pseudorandom numbers.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.ExperimentalRandomDataset

tf.raw_ops.ExperimentalRandomDataset(
    seed, seed2, output_types, output_shapes, name=None
)

Args
seed	A Tensor of type int64. A scalar seed for the random number generator. If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used.
seed2	A Tensor of type int64. A second scalar seed to avoid seed collision.
output_types	A list of tf.DTypes that has length >= 1.
output_shapes	A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
name	A name for the operation (optional).

Returns
A Tensor of type variant.