()
| 2 | import torch |
| 3 | |
| 4 | def test_speed(): |
| 5 | import time |
| 6 | model = BaseModel(args=BaseModel.get_args( |
| 7 | num_layers=40, |
| 8 | hidden_size=2048, |
| 9 | num_attn_heads=32, |
| 10 | max_sequence_length=1024, |
| 11 | vocab_size=32000, |
| 12 | layernorm_order='sandwich', |
| 13 | fp16=True |
| 14 | )).cuda() |
| 15 | data = torch.zeros(4, 1024, dtype=torch.long).cuda() |
| 16 | start = time.time() |
| 17 | for i in range(100): |
| 18 | with torch.no_grad(): |
| 19 | model(data, data, None) |
| 20 | print('average time: ', (time.time() - start) / 100, 's') |
| 21 | |
| 22 | if __name__ == '__main__': |
| 23 | test_speed() |
no test coverage detected