tf.contrib.layers.avg_pool2d(*args, **kwargs) Adds a 2D average pooling op. It is assumed that

tf.contrib.training.NextQueuedSequenceBatch.context A dict mapping keys of input_context to batched context.

tf.contrib.rnn.GridLSTMCell.state_tuple_type

tf.contrib.distributions.Poisson.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.QuantizedDistribution.mode(name='mode') Mode.

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

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.name

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

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution

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