def event_shape(self, name='event_shape'):
    'Shape of a sample from a single distribution as a 1-D int32 `Tensor`.\n\n    Args:\n      name: name to give to the op\n\n    Returns:\n      `Tensor` `event_shape`\n    '
    with ops.name_scope(self.name):
        with ops.name_scope(name):
            return constant_op.constant([], dtype=dtypes.int32)
Shape of a sample from a single distribution as a 1-D int32 `Tensor`.

Args:
  name: name to give to the op

Returns:
  `Tensor` `event_shape`
def event_shape(self, name='event_shape'):
    'Shape of a sample from a single distribution as a 1-D int32 `Tensor`.\n\n    Args:\n      name: name to give to the op\n\n    Returns:\n      `Tensor` `event_shape`\n    '
    with ops.name_scope(self.name):
        with ops.name_scope(name):
            return constant_op.constant([], dtype=dtypes.int32)