tf.contrib.distributions.QuantizedDistribution.log_survival_function()

tf.contrib.distributions.QuantizedDistribution.log_survival_function(value, name='log_survival_function') Log survival function. Given random variable X, the survival function is defined: log_survival_function(x) = Log[ P[X > x] ] = Log[ 1 - P[X <= x] ] = Log[ 1 - cdf(x) ] Typically, different numerical approximations can be used for the log survival function, which are more accurate than 1 - cdf(x) when x >> 1. Additional document

tf.contrib.graph_editor.reroute_b2a()

tf.contrib.graph_editor.reroute_b2a(sgv0, sgv1) Re-route the inputs and outputs of sgv1 to sgv0 (see _reroute).

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor

class tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor InverseGammaTensor is a StochasticTensor backed by the distribution InverseGamma.

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor

class tf.contrib.bayesflow.stochastic_tensor.StudentTTensor StudentTTensor is a StochasticTensor backed by the distribution StudentT.

tf.contrib.graph_editor.SubGraphView.__nonzero__()

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

tf.train.batch()

tf.train.batch(tensors, batch_size, num_threads=1, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None, name=None) Creates batches of tensors in tensors. The argument tensors can be a list or a dictionary of tensors. The value returned by the function will be of the same type as tensors. This function is implemented using a queue. A QueueRunner for the queue is added to the current Graph's QUEUE_RUNNER collection. If enqueue_many i

tf.contrib.distributions.Chi2WithAbsDf.get_event_shape()

tf.contrib.distributions.Chi2WithAbsDf.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as event_shape. May be only partially defined. Returns: event_shape: TensorShape, possibly unknown.

tf.contrib.distributions.StudentT.get_batch_shape()

tf.contrib.distributions.StudentT.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape. May be only partially defined. Returns: batch_shape: TensorShape, possibly unknown.

tf.contrib.distributions.Multinomial.get_event_shape()

tf.contrib.distributions.Multinomial.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as event_shape. May be only partially defined. Returns: event_shape: TensorShape, possibly unknown.

tf.contrib.graph_editor.matcher

class tf.contrib.graph_editor.matcher Graph match class.