# 需要導入模塊: from torch import distributed [as 別名]# 或者: from torch.distributed importdestroy_process_group[as 別名]def_test__native_dist_model_create_from_context_no_dist(true_backend, true_device):assert_NativeDistModel.create_from_context()isNonedist.init_process_group(true_backend,"...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - dist.destroy_process_group did not destroy the process group well · pytorch/pytorch@df5bbc0
🐛 Describe the bug I seem to have found an issue that can occur when destroying the default process group and attempting to reinitialize it immediately after. This can lead to a race condition where not all workers have finished destroyi...
destroy_process_group() Example #2Source File: test_torch.py From ray with Apache License 2.0 5 votes def ray_start_4_cpus(): address_info = ray.init(num_cpus=4) yield address_info # The code after the yield will run as teardown code. ray.shutdown() # Ensure that tests don't...
正如您提到的，it is not documented yet。但是，它在DDP tutorial中使用，并在每个训练步骤结束时调用...
wconstabadded a commit that referenced this issueMar 22, 2024 [C10D] Document destroy_process_group usage… c243484 wconstabadded a commit that referenced this issueMay 8, 2024 [C10D] Document destroy_process_group usage… 6852561 pytorchmergebotclosed this ascompletedin26b942cMay 9, 2024...
glenn-jocherchanged the titleMulti GPU training based on docker imagesDocker Multi-GPU DDP training hang ondestroy_process_group()withwandboption 3Oct 13, 2021 glenn-jocheraddedbugand removedquestionlabelsOct 13, 2021 glenn-jocherself-assigned thisOct 13, 2021 ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [C10D] call destroy_process_group after MultiProcess tests · pytorch/pytorch@763b768
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [C10D] call destroy_process_group after MultiProcess tests · pytorch/pytorch@a173186
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [C10D] call destroy_process_group after MultiProcess tests · pytorch/pytorch@24be47f