def test_lambda_callback_value_error(stage):
msg = "LambdaCallback should fail if {} gets wrong # of arguments.".format(stage)
msg_wrong_type = "LambdaCallback should fail if {} isn't a function or None.".format(
stage
)
with pytest.raises(ValueError, message=msg):
kwargs = {stage: lambda nn_state, epoch, batch, extra: "foobar"}
LambdaCallback(**kwargs)
with pytest.raises(ValueError, message=msg_wrong_type):
LambdaCallback(**{stage: "foobar"})
def test_lambda_callback_type_error(stage):
msg = "LambdaCallback should fail if {} isn't a function or None.".format(
stage)
with pytest.raises(TypeError):
LambdaCallback(**{stage: "foobar"})
pytest.fail(msg)
def test_lambda_callback_value_error_num_args(stage):
msg = f"LambdaCallback should fail if {stage} gets wrong # of arguments."
with pytest.raises(ValueError):
kwargs = {stage: lambda nn_state, epoch, batch, extra: "foobar"}
LambdaCallback(**kwargs)
pytest.fail(msg)
def test_stop_training_in_epoch(gpu):
qucumber.set_random_seed(SEED, cpu=True, gpu=gpu, quiet=True)
nn_state = PositiveWaveFunction(10, gpu=gpu)
data = torch.ones(100, 10)
callbacks = [
LambdaCallback(
on_epoch_end=lambda nn_state, ep: set_stop_training(nn_state))
]
nn_state.fit(data, callbacks=callbacks)
msg = "stop_training wasn't set!"
assert nn_state.stop_training, msg
