tf.contrib.framework.has_arg_scope(func) Checks whether a func has been decorated with @add_arg_scope or not.

tf.errors.AbortedError.__init__(node_def, op, message) Creates an AbortedError.

tf.contrib.learn.RunConfig.job_name

tf.errors.NotFoundError.__init__(node_def, op, message) Creates a NotFoundError.

tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If

tf.contrib.distributions.Uniform.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.mean(name='mean')

class tf.contrib.learn.monitors.NanLoss NaN Loss monitor. Monitors loss and stops training if

tf.TFRecordReader.reader_ref Op that implements the reader.

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.name