tf.contrib.distributions.TransformedDistribution.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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

tf.invert_permutation(x, name=None) Computes the inverse permutation of a tensor. This operation

class tf.contrib.learn.monitors.CaptureVariable Captures a variable's values into a collection. This

tf.contrib.distributions.NormalWithSoftplusSigma.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

class tf.TensorArray Class wrapping dynamic-sized, per-time-step, write-once Tensor arrays. This

tf.where(input, name=None) Returns locations of true values in a boolean tensor. This operation

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

tf.contrib.distributions.MultivariateNormalFull.pdf(value, name='pdf') Probability density function. Args: