| from megatron.core.tensor_parallel.data import broadcast_data | |
| import torch | |
| from tests.test_utilities import Utils | |
| def test_broadcast_data(): | |
| Utils.initialize_model_parallel(2,4) | |
| input_data = { | |
| 0 : torch.ones((8,8)).cuda() * 0.0, | |
| 1 : torch.ones((8,8)).cuda() * 1.0, | |
| 2 : torch.ones((8,8)).cuda() * 2.0, | |
| 3 : torch.ones((8,8)).cuda() * 3.0, | |
| 4 : torch.ones((8,8)).cuda() * 4.0, | |
| 5 : torch.ones((8,8)).cuda() * 5.0, | |
| 6 : torch.ones((8,8)).cuda() * 6.0, | |
| 7 : torch.ones((8,8)).cuda() * 7.0 | |
| } | |
| dtype = torch.float32 | |
| actual_output = broadcast_data([0,1],input_data, dtype) | |
| assert(torch.equal(actual_output[0], input_data[0])) | |
| assert(torch.equal(actual_output[1], input_data[1])) | |
| Utils.destroy_model_parallel() |