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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/ExperimentalRandomDataset