Hi, thanks! I use vllm to inference the llama-7B model on single gpu, and tensor-parallel on 2-gpus and 4-gpus, we found that it is 10 times faster than HF on a single GPU, but using tensor parallelism, there is no significant increase i...
tensor parallel with llama这几天又在看 transformers源码中的llama模型代码,发现,他竟然集成了tensor parallel(后面就简称为TP)。阅读transformers源码可以在代码中搜索 pretraining_tp,找到使用的位置.htt…
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 (github.com) 单独的Linear需要使用all_gather汇总结果 ppl.pmx/torch_function/ColumnParallelLinear.py at master · openppl-publi...
纵向三刀,把transformer layers的一共12层,切割成了四个部分,每个部分3个layers,其目的是实现pipeline-parallel;【需要pipeline_model_parallel_size=4】而
When tensor parallelism is performed over data parallel ranks, a subset of the parameters, gradients, and optimizer states are partitioned across the tensor parallel devicesfor the modules that are partitioned. For the rest of the modules, the tensor parallel devices operate in a regular dat...
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...
datatype –torch data type of all tensors in data associated with keys.tensor_parallel.layers module class core.tensor_parallel.layers.ColumnParallelLinear(*args: Any, **kwargs: Any)Bases: torch.nn.ModuleLinear layer with column parallelism.The...
Every aspect of the framework is examined through relevant performance benchmarks, including the impact of data parallelism on the performance of isomorphic and nonisomorphic tensor products, the FLOP and memory I/O optimality in the evaluation of tensor networks, the compilation cost and memory ...
JORA: JAX Tensor-Parallel LoRA Library (ACL 2024) machine-learninglorajaxtensor-parallelismlarge-language-models UpdatedApr 25, 2024 Python ShinoharaHare/LLM-Training Star19 Code Issues Pull requests A distributed training framework for large language models powered by Lightning. ...
本文介绍了tensorflow的常用函数,源自网上整理。 TensorFlow 将图形定义转换成分布式执行的操作, 以充分利用可用的计算资源(如 CPU 或 GPU。一般你不需要显式指定使用 CPU 还是 GPU, TensorFlow 能自动检测。如果检测到 GPU, TensorFlow 会尽可能地利用找到的第一个 GPU 来执行操作.并行计算能让代价大的算法计算加速...