def test_training_args_call_build(self):
input_dim = 2
model = model_util.TrainingNoDefaultModel()
self.assertFalse(model.built, 'Model should not have been built')
self.assertFalse(model.weights, ('Model should have no weights since it '
'has not been built.'))
model.build((None, input_dim))
self.assertTrue(model.weights, ('Model should have weights now that it '
'has been properly built.'))
self.assertTrue(model.built, 'Model should be built after calling `build`.')
def test_training_no_default(self):
if not context.executing_eagerly():
return
model = model_util.TrainingNoDefaultModel()
arg = array_ops.ones([1, 1])
model(arg, True)
def test_training_no_default(self):
model = model_util.TrainingNoDefaultModel()
arg = array_ops.ones([1, 1])
model(arg, True)
def test_training_no_default(self):
if not context.executing_eagerly():
self.skipTest('b/138307499')
model = model_util.TrainingNoDefaultModel()
arg = array_ops.ones([1, 1])
model(arg, True)
