tf.contrib.distributions.Poisson.log_prob()

tf.contrib.distributions.Poisson.log_prob(value, name='log_prob')

Log probability density/mass function (depending on is_continuous).

Additional documentation from Poisson:

Note thet the input value must be a non-negative floating point tensor with dtype dtype and whose shape can be broadcast with self.lam. x is only legal if it is non-negative and its components are equal to integer values.

Args:

• value: float or double Tensor.
• name: The name to give this op.

Returns:

• log_prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.