tf.raw_ops.ExperimentalRandomDataset
Creates a Dataset that returns pseudorandom numbers.
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. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/ExperimentalRandomDataset