tf.contrib.distributions.BernoulliWithSigmoidP.sample()

tf.contrib.distributions.BernoulliWithSigmoidP.sample(sample_shape=(), seed=None, name='sample')

Generate samples of the specified shape.

Note that a call to sample() without arguments will generate a single sample.

Args:
  • sample_shape: 0D or 1D int32 Tensor. Shape of the generated samples.
  • seed: Python integer seed for RNG
  • name: name to give to the op.
Returns:
  • samples: a Tensor with prepended dimensions sample_shape.
doc_TensorFlow
2016-10-14 12:45:53
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