def _mode(self):
mode = (self.a - 1.)/ (self.a_b_sum - 2.)
if self.allow_nan_stats:
nan = np.array(np.nan, dtype=self.dtype.as_numpy_dtype())
return array_ops.where(
math_ops.logical_and(
math_ops.greater(self.a, 1.),
math_ops.greater(self.b, 1.)),
mode,
array_ops.fill(self.batch_shape(), nan, name="nan"))
else:
return control_flow_ops.with_dependencies([
check_ops.assert_less(
array_ops.ones((), dtype=self.dtype), self.a,
message="Mode not defined for components of a <= 1."),
check_ops.assert_less(
array_ops.ones((), dtype=self.dtype), self.b,
message="Mode not defined for components of b <= 1."),
], mode)
beta.py 文件源码
python
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