def test_complex_tensor_with_nonzero_imag_raises(self):
x = ops.convert_to_tensor([1., 2, 0])
y = ops.convert_to_tensor([1., 2, 0])
z = math_ops.complex(x, y)
with self.test_session():
with self.assertRaisesOpError("ABC123"):
linear_operator_util.assert_zero_imag_part(z, message="ABC123").run()
def test_complex_tensor_with_imag_zero_doesnt_raise(self):
x = ops.convert_to_tensor([1., 0, 3])
y = ops.convert_to_tensor([0., 0, 0])
z = math_ops.complex(x, y)
with self.test_session():
# Should not raise.
linear_operator_util.assert_zero_imag_part(z, message="ABC123").run()
def test_complex_tensor_with_nonzero_imag_raises(self):
x = tf.convert_to_tensor([1., 2, 0])
y = tf.convert_to_tensor([1., 2, 0])
z = tf.complex(x, y)
with self.test_session():
with self.assertRaisesOpError("ABC123"):
linear_operator_util.assert_zero_imag_part(z, message="ABC123").run()
def test_complex_tensor_with_imag_zero_doesnt_raise(self):
x = tf.convert_to_tensor([1., 0, 3])
y = tf.convert_to_tensor([0., 0, 0])
z = tf.complex(x, y)
with self.test_session():
# Should not raise.
linear_operator_util.assert_zero_imag_part(z, message="ABC123").run()
def _assert_self_adjoint(self):
return linear_operator_util.assert_zero_imag_part(
self._diag,
message=(
"This diagonal operator contained non-zero imaginary values. "
" Thus it was not self-adjoint."))
def test_real_tensor_doesnt_raise(self):
x = ops.convert_to_tensor([0., 2, 3])
with self.test_session():
# Should not raise.
linear_operator_util.assert_zero_imag_part(x,
message="ABC123").run()
def test_real_tensor_doesnt_raise(self):
x = ops.convert_to_tensor([0., 2, 3])
with self.test_session():
# Should not raise.
linear_operator_util.assert_zero_imag_part(x, message="ABC123").run()
def _assert_self_adjoint(self):
return linear_operator_util.assert_zero_imag_part(
self._diag,
message=(
"This diagonal operator contained non-zero imaginary values. "
" Thus it was not self-adjoint."))
