tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob') Probability density/mass function (depending on

tf.trace(x, name=None) Compute the trace of a tensor x. trace(x) returns

tf.image.decode_png(contents, channels=None, dtype=None, name=None) Decode a PNG-encoded image to a uint8 or uint16 tensor.

tf.contrib.learn.monitors.PrintTensor.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.distributions.Categorical.num_classes Scalar int32 tensor: the number of classes.

tf.contrib.distributions.MultivariateNormalDiag.mean(name='mean') Mean.

tf.contrib.learn.LinearRegressor.set_params(**params) Set the parameters of this estimator. The

class tf.errors.AbortedError The operation was aborted, typically due to a concurrent action. For

tf.contrib.distributions.Exponential.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.batch_shape(name='batch_shape') Shape of a single sample from a single