close(fig) plot([mp_mean, rn_mean], [mp_std, rn_std], ['Model Parallel', 'Single GPU'], 'mp_vs_rn.png') 结果表明,模型并行实现的执行时间比现有的单GPU实现时间上长 4.02 / 3.75-1 = 7%。因此,我们可以得出结论,在GPU之间来回复制tensor大约有7%的开销。有改进的余地,因为我们知道两个GPU之...
split(a, 2) (tensor([[0, 1], [2, 3]]), tensor([[4, 5], [6, 7]]), tensor([[8, 9]])) >>> torch.split(a, [1,4]) (tensor([[0, 1]]), tensor([[2, 3], [4, 5], [6, 7], [8, 9]])) 接下来,我们回到 PipelineParallelResNet50 模型,进一步将每个 batch 的12...
deepspeed pretrain_llama.py \ --DDP-impl local \ --tensor-model-parallel-size 1 \ --pipeline-model-parallel-size 4 \ --num-layers 32 \ --hidden-size 4096 \ 但结果报错507033 和E30003,求助怎么解决本帖最后由 Au 于2024-01-12 18:11:03 编辑 ...
🐛 Describe the bug With tensor parallel > 1, this message appears in the console: /usr/local/lib/python3.10/dist-packages/torch/autograd/__init__.py:266: UserWarning: c10d::broadcast_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through ...
If set to 1, it falls back to the native PyTorch implementation and API for NO_SHARD in the script when tensor_parallel_degree is 1. Otherwise, it's equivalent to NO_SHARD within any given tensor parallel groups. If set to an integer between 2 and world_size, sharding happens across th...
tensor_parallel_example.py timeoutpytorch/pytorch#115964 Closed Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment Assignees No one assigned Labels None yet Projects None yet Milestone No milestone ...
This is because the tensor parallel group is part of both the model parallelism group and the data parallelism group. If your code has existing references to mp_rank, mp_size, MP_GROUP, and so on, and if you want to work with only the pipeline parallel group, you might need to ...
模型：GPT-13BMegatron：v2.4，tensor-model-parallel-size 设置为 4, pipeline-model-parallel-size 设置为 4DeepSpeed：v0.4.2，使用 DeepSpeedExamples 开源社区中默认的 zero3 的配置运行环境V100/TCP ：100Gb/s TCP 网络带宽，4 机，每机 8 张 Tesla V100 32G GPUV100/RDMA：100Gb/s RDMA 网络带宽，...
对于多机model parallel训练,参考:Getting Started With Distributed RPC Framework Basic Usage 从包含两个线性层的简易模型开始。要在两个GPU上运行此模型,只需将每个线性层放在不同的GPU上,然后相应地移动输入和中间输出以匹配devices。 importtorchimporttorch.nn as nnimporttorch.optim as optimclassToyModel(nn....
mkdir weight SCRIPT_PATH=./tools/ckpt_convert/llama/convert_weights_from_huggingface.py # for ptd python $SCRIPT_PATH \ --input-model-dir ./baichuan2-7B-hf \ --output-model-dir ./weight-tp8 \ --tensor-model-parallel-size 8 \ --pipeline-model-parallel-size 1 \ --type 7B \ --merg...