def test_made(self):
model = MADE(input_size=2,
hidden_size=100,
n_hidden=1,
cond_label_size=None,
activation='relu',
input_order='sequential')
self._train(model, 10)
def test_made_2_hidden_conditional(self):
test_untrained_model(
MADE(input_size=2,
hidden_size=10,
n_hidden=2,
cond_label_size=self.cond_label_size,
activation='relu',
input_order='sequential'), self.cond_label_size)
def test_made_200_inputs_random_mask(self):
test_untrained_model(
MADE(input_size=200,
hidden_size=10,
n_hidden=2,
cond_label_size=None,
activation='relu',
input_order='random'))
def test_made_1_hidden(self):
test_untrained_model(
MADE(input_size=2,
hidden_size=10,
n_hidden=1,
cond_label_size=None,
activation='relu',
input_order='sequential'))
def test_made(self):
test_layer(MADE(args.input_size, hidden_size=10, n_hidden=3),
input_dims=(args.batch_size, args.input_size))