tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.allow_nan_stats Python boolean describing behavior when a stat

class tf.contrib.distributions.QuantizedDistribution Distribution representing the quantization Y = ceiling(X).

tf.contrib.distributions.NormalWithSoftplusSigma.is_continuous

tf.contrib.distributions.MultivariateNormalDiag.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

tf.contrib.learn.monitors.ExportMonitor.run_on_all_workers

tf.contrib.learn.monitors.EveryN.epoch_end(epoch) End epoch. Args:

tf.contrib.learn.monitors.CheckpointSaver.__init__(checkpoint_dir, save_secs=None, save_steps=None, saver=None, checkpoint_basename='model.ckpt', scaffold=None)

tf.nn.rnn_cell.InputProjectionWrapper.__init__(cell, num_proj, input_size=None) Create a cell with input projection.

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.entropy(name='entropy')

TTypes< T >::ConstScalar tensorflow::Tensor::scalar() const