| from megatron.core.tensor_parallel.cross_entropy import vocab_parallel_cross_entropy | |
| import torch | |
| from tests.test_utilities import Utils | |
| import numpy as np | |
| def test_vocab_parallel_cross_entropy(): | |
| Utils.initialize_model_parallel(4,2) | |
| vocab_parallel_logits = torch.range(0,7).repeat(16,4).cuda() | |
| target = torch.arange(0,32,2).cuda() | |
| output = vocab_parallel_cross_entropy(vocab_parallel_logits, target) | |
| expected_output = torch.tensor([10.2309, 8.2309, 6.2309, 4.2309, 10.2309, 8.2309, 6.2309, 4.2309, | |
| 10.2309, 8.2309, 6.2309, 4.2309, 10.2309, 8.2309, 6.2309, 4.2309]).cuda() | |
| assert(torch.equal(torch.round(expected_output), torch.round(output))) | |
| Utils.destroy_model_parallel() |