Floating-point Tensor with shape [B1, ... Bn, N].
A unit vector indicating the mode of the distribution, or the
unit-normalized direction of the mean.
Floating-point Tensor having batch shape [B1, ... Bn]
broadcastable with mean_direction. The level of concentration of
samples around the mean_direction. concentration=0 indicates a
uniform distribution over the unit hypersphere, and concentration=+inf
indicates a Deterministic distribution (delta function) at
Python bool, default False. When True distribution
parameters are checked for validity despite possibly degrading runtime
performance. When False invalid inputs may silently render incorrect
Python bool, default True. When True,
statistics (e.g., mean, mode, variance) use the value "NaN" to
indicate the result is undefined. When False, an exception is raised
if one or more of the statistic's batch members are undefined.
Python str name prefixed to Ops created by this class.
For known-bad arguments, i.e. unsupported event dimension.