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

tf.contrib.distributions.Chi2WithAbsDf.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

tf.assert_proper_iterable(values) Static assert that values is a "proper" iterable. Ops

class tf.contrib.framework.VariableDeviceChooser Device chooser for variables. When using a parameter

tf.contrib.metrics.streaming_specificity_at_sensitivity(predictions, labels, sensitivity, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.value_type

int64 tensorflow::Tensor::NumElements() const Convenience accessor for the tensor shape.

tf.contrib.distributions.Dirichlet.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

tf.imag(input, name=None) Returns the imaginary part of a complex number. Given a tensor input