univariate.py 文件源码

def __init__(self,
                 rate,
                 dtype=None,
                 group_ndims=0,
                 check_numerics=False,
                 **kwargs):
        self._rate = tf.convert_to_tensor(rate)
        param_dtype = assert_same_float_dtype(
            [(self._rate, 'Poisson.rate')])

        if dtype is None:
            dtype = tf.int32
        assert_same_float_and_int_dtype([], dtype)

        self._check_numerics = check_numerics

        super(Poisson, self).__init__(
            dtype=dtype,
            param_dtype=param_dtype,
            is_continuous=False,
            is_reparameterized=False,
            group_ndims=group_ndims,
            **kwargs)