MegatronLM的第一篇论文【Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism】是2020年出的,针对billion级别的模型进行训练,例如具有38亿参数的类GPT-2的transformer模型和具有39亿参数的BERT模型。 分布式训练的模型并行有两种方式,一种是层间并行(inter-layer),也就是Pipeline流水...
使用tensor-parallel 加载模型的效果 加载tokenizer 并进行推理: tokenizer = LlamaTokenizer.from_pretrained("decapoda-research/llama-7b-hf") tokens = tokenizer("Hi, how are you?", return_tensors="pt") tokenizer.decode(model.generate(tokens["input_ids"].cuda(0), attention_mask=tokens["attention_m...
为了实现这一点,TensorFlow需要初始化一个"model parallel group"。 这个警告通常意味着在尝试初始化或加入模型并行组时,该组已经被初始化了。这可能不会影响模型的运行,但它可能表明有代码的重复执行或者初始化过程存在某种不预期的行为。 如果你遇到这个警告并且确定它不会导致任何问题,你可以选择忽略它。然而,如果...
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 it. This may lead to...
fix bug: #322 #872 Test log: (vllm-boydfd) root:~/projects# python -m vllm.entrypoints.api_server --model /root/WizardLM--WizardCoder-15B-V1.0/ --tensor-parallel-size 8 2023-10-17 19:13:33,431 INFO...
模型并行训练( Model Parallel Training) 还可以对模型进行切分,让模型的不同部分执行在不同的设备上,这样可以一个迭代的样本可以在不同的设备上同时执行。如上图所示的LSTM模型 最近项目需要,客户想上tensorflow,想把项目做的高大上一点,向我咨询tensorflow的相关问题和部署方案,我要假装自己很懂TF,之前一直在跟进te...
In this thesis, we design and implement a parallel algorithm for tensor network contraction. In addition to finding efficient contraction orders for a tensor network, we also dynamically slice it into multiple sub-tasks with lower space and time costs, in order to evaluate the tensor network in...
5D Tensor-based seismic data completion: The Parallel Matrix Factorization (PMF) algorithm We discuss the implementation of the Parallel Matrix Factorization (PMF) algorithm, an SVD-free tensor completion method that is applied to 5D seismic data reconstruction. The Parallel Matrix Factorization (PMF)...
ppl.pmx/model_zoo/llama/modeling/static_batching/Model.py at master · openppl-public/ppl.pmx (github.com) Linear汇总结果 如上文,Attention层最后一个Linear、MLP层最后一个Linear都需要汇总结果,需要使用all_reduce算子。 ppl.pmx/torch_function/RowParallelLinear.py at master · openppl-public/ppl.pmx...
Hobbs, "Massively parallel forward modeling of scalar and tensor gravimetry data," Computers and Geosciences, vol. 36, no. 5, pp. 680-686, 2010.M. Moorkamp Jegen,A. Roberts,R. HobbsM.Massively parallel forward modeling of scalar and tensor gravimetry datastar, open. Computers and ...