all_gather 函数定义 其中tensor_list,是list,大小是word_size,每个元素为了是gather后,保存每个rank的数据,所以初始化一般使用torch.empty;tensor代表各rank中的tensor数据,其中tensor_list每个分量的维度要与对应的tensor参数中每个rank的维度相同。 API文档链接:torch.distributed
import torch.distributed as dist torch._logging.set_logs(graph=True, graph_code=True) class allgather_in_tensor(torch.nn.Module): def __init__(self): super().__init__() def forward(self, out_tensor, x): torch.distributed.all_gather_into_tensor(out_tensor, x) return out_tensor def...
all_gather_into_tensor = torch.distributed._all_gather_base AttributeError: module 'torch.distributed' has no attribute '_all_gather_base' 解决方法 注释下面的代码: if "reduce_scatter_tensor" not in dir(torch.distributed): torch.distributed.reduce_scatter_tensor = torch.distributed._reduce_...
File "/home/ailab/anaconda3/envs/yy_FAFS/lib/python3.8/site-packages/apex/transformer/utils.py", line 11, in <module> torch.distributed.all_gather_into_tensor = torch.distributed._all_gather_base AttributeError: module 'torch.distributed' has no attribute '_all_gather_base' my version is ...
_1d_equal_chunks File "/home/ailab/anaconda3/envs/yy_FAFS/lib/python3.8/site-packages/apex/transformer/utils.py", line 11, in <module> torch.distributed.all_gather_into_tensor = torch.distributed._all_gather_base AttributeError: module 'torch.distributed' has no attribute '_all_...
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因为文档中指出all_gather()是一个阻塞调用。也许它们的意思是阻塞，如notasync;与torch.distributed不同...
allgatherv reducescatterv支持动态图及算子参数传值修改,增加动态图smoke test 一、内容说明(相关的Issue) 二、建议测试周期和提测地址 建议测试完成...
The batch size should be larger than the number of GPUs used. See also:Use nn.DataParallel instead of multiprocessing Arbitrary positional and keyword inputs are allowed to be passed into DataParallel but some types are specially handled. tensors will bescatteredon dim specified (default 0). tup...
`torch._jit_internal` is imported before `torch.distributed.__init__`.# Explicitly ask to import `torch.distributed.__init__` first.# Otherwise, "AttributeError: module 'torch' has no attribute 'distributed'" is raised.import torch.distributed as dist ...