def test_lm_generate_ctrl(self):
model = CTRLLMHeadModel.from_pretrained("ctrl")
model.to(torch_device)
input_ids = torch.tensor([[11859, 0, 1611, 8]],
dtype=torch.long,
device=torch_device) # Legal the president is
expected_output_ids = [
11859,
0,
1611,
8,
5,
150,
26449,
2,
19,
348,
469,
3,
2595,
48,
20740,
246533,
246533,
19,
30,
5,
] # Legal the president is a good guy and I don't want to lose my job. \n \n I have a
output_ids = model.generate(input_ids, do_sample=False)
self.assertListEqual(output_ids[0].tolist(), expected_output_ids)
def test_lm_generate_ctrl(self):
model = CTRLLMHeadModel.from_pretrained("ctrl")
input_ids = torch.Tensor([[11859, 586, 20984,
8]]).long() # Legal My neighbor is
expected_output_ids = [
11859,
586,
20984,
8,
13391,
3,
980,
8258,
72,
327,
148,
2,
53,
29,
226,
3,
780,
49,
3,
980,
] # Legal My neighbor is refusing to pay rent after 2 years and we are having to force him to pay
torch.manual_seed(0)
output_ids = model.generate(input_ids)
self.assertListEqual(output_ids[0].tolist(), expected_output_ids)