tensorflow:: ops:: LogUniformCandidateSampler:: Attrs


   #include <candidate_sampling_ops.h>

Optional attribute setters for LogUniformCandidateSampler .

Summary

Public attributes
`seed2_ = 0`	`int64`
`seed_ = 0`	`int64`

Public functions
`Seed (int64 x)`	`TF_MUST_USE_RESULT Attrs` If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
`Seed2 (int64 x)`	`TF_MUST_USE_RESULT Attrs` An second seed to avoid seed collision.

int64 tensorflow::ops::LogUniformCandidateSampler::Attrs::seed2_ = 0

int64 tensorflow::ops::LogUniformCandidateSampler::Attrs::seed_ = 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::LogUniformCandidateSampler::Attrs::Seed(
  int64 x
)

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.

Defaults to 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::LogUniformCandidateSampler::Attrs::Seed2(
  int64 x
)

An second seed to avoid seed collision.

Defaults to 0

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2021-08-16 UTC.