tensorflow_probability/python/edward2/random_variable.py
def numpy(self):
    """Value as NumPy array, only available for TF Eager."""
    if not isinstance(self.value, ops.EagerTensor):
      raise NotImplementedError("value argument must be a EagerTensor.")

    return self.value.numpy()
def numpy(self):
    """Value as NumPy array, only available for TF Eager."""
    if not isinstance(self.value, ops.EagerTensor):
      raise NotImplementedError("value argument must be a EagerTensor.")

    return self.value.numpy()
def numpy ( self ) : if not isinstance ( self . value , ops . EagerTensor ) : raise NotImplementedError ( "value argument must be a EagerTensor." ) return self . value . numpy ( )
Value as NumPy array, only available for TF Eager.
Value as NumPy array only available for TF Eager .