def _assert_self_adjoint(self):
if all(operator.is_square for operator in self.operators):
asserts = [operator.assert_self_adjoint() for operator in self.operators]
return control_flow_ops.group(asserts)
else:
raise errors.InvalidArgumentError(
node_def=None, op=None, message="All Kronecker factors must be "
"square for the product to be self adjoint.")
def _assert_self_adjoint(self):
if all(operator.is_square for operator in self.operators):
asserts = [operator.assert_self_adjoint() for operator in self.operators]
return control_flow_ops.group(asserts)
else:
raise errors.InvalidArgumentError(
node_def=None,
op=None,
message="All Kronecker factors must be square for the product to be "
"invertible. Expected hint `is_square` to be True for every operator "
"in argument `operators`.")
def _unique(x, out_idx=np.int32, name=None): # pylint: disable=unused-argument
"""Numpy implementation of `tf.unique`."""
x = np.array(x)
if len(x.shape) != 1:
raise errors.InvalidArgumentError('unique expects a 1D vector.')
y, idx = np.unique(x,
return_index=True,
return_inverse=False,
return_counts=False,
axis=None)
idx = idx.astype(utils.numpy_dtype(out_idx))
return _UniqueOutput(y=y, idx=idx)
def _assert_positive_definite(self):
raise errors.InvalidArgumentError(
node_def=None, op=None, message="Householder operators are always "
"non-positive definite.")
def _assert_non_singular(self):
raise errors.InvalidArgumentError(node_def=None,
op=None,
message="Zero operators are always "
"non-invertible.")
