tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2

tf.contrib.learn.monitors.RunHookAdapterForMonitors.begin()

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.entropy(name='entropy')

tf.contrib.framework.get_or_create_global_step(graph=None) Returns and create (if necessary) the global step variable.

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.clone(name=None, **dist_args)

tf.contrib.distributions.Categorical.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

tf.matrix_inverse(input, adjoint=None, name=None) Computes the inverse of one or more square invertible matrices or their

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

tf.contrib.learn.monitors.CaptureVariable.__init__(var_name, every_n=100, first_n=1) Initializes a CaptureVariable monitor.

tf.contrib.distributions.Exponential.get_batch_shape() Shape of a single sample from a single event index as a TensorShape