def __init__(self):
super().__init__()
for function in FLAGS.functions:
for unit_test_spec in FUNCTIONS_TO_UNIT_TEST_SPECS[function]:
if not FLAGS.test_complex and tf_utils.is_complex(
unit_test_spec.input_signature):
continue
function_unit_test = create_function_unit_test(function, unit_test_spec)
setattr(self, unit_test_spec.unit_test_name, function_unit_test)
def main(argv):
del argv # Unused.
if hasattr(tf, "enable_v2_behavior"):
tf.enable_v2_behavior()
if FLAGS.list_functions_with_complex_tests:
for function_name, unit_test_specs in FUNCTIONS_TO_UNIT_TEST_SPECS.items():
for spec in unit_test_specs:
if tf_utils.is_complex(spec.input_signature):
print(f' "{function_name}",')
return
if FLAGS.functions is None:
raise flags.IllegalFlagValueError(
"'--functions' must be specified if "
"'--list_functions_with_complex_tests' isn't")
TfMathTest.generate_unit_tests(TfMathModule)
tf.test.main()
def create_function_unit_test(
function_name: str,
unit_test_spec: tf_test_utils.UnitTestSpec) -> tf.function:
"""Creates a tf_function_unit_test from the provided UnitTestSpec."""
function = getattr(tf.math, function_name)
signature = unit_test_spec.input_signature
if tf_utils.is_complex(signature):
function, signature = tf_utils.rewrite_complex_signature(
function, signature)
wrapped_function = lambda *args: function(*args, **unit_test_spec.kwargs)
if FLAGS.dynamic_dims:
signature = tf_utils.apply_function(signature, tf_utils.make_dims_dynamic)
return tf_test_utils.tf_function_unit_test(
input_signature=signature,
input_generator=unit_test_spec.input_generator,
input_args=unit_test_spec.input_args,
name=unit_test_spec.unit_test_name,
rtol=1e-5,
atol=1e-5)(wrapped_function)