tensorflow::EnvWrapper::SleepForMicroseconds()
  • References/Big Data/TensorFlow/TensorFlow C++/EnvWrapper

void tensorflow::EnvWrapper::SleepForMicroseconds(int64 micros) override Sleeps/delays the thread for the prescribed number of

2025-01-10 15:47:30
tensorflow::TensorShape::buf[16][16]
  • References/Big Data/TensorFlow/TensorFlow C++/TensorShape

uint8 tensorflow::TensorShape::buf[16][16]

2025-01-10 15:47:30
tensorflow::Status::operator==()
  • References/Big Data/TensorFlow/TensorFlow C++/Status

bool tensorflow::Status::operator==(const Status &x) const

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.name
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.name

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tf.contrib.distributions.Dirichlet.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Dirichlet.mode(name='mode') Mode. Additional documentation from

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tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution

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tf.contrib.distributions.Normal.variance()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Normal.variance(name='variance') Variance.

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tf.Session.reset()
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.Session.reset(target, containers=None, config=None) Resets resource containers on target, and close all connected

2025-01-10 15:47:30
tf.contrib.crf.CrfForwardRnnCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/CRF

tf.contrib.crf.CrfForwardRnnCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.clone()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.clone(name=None, **dist_args)

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