最近作者在学习大模型分布式训练的相关知识,比如各种并行训练策略,包括 Data parallel、Tensor parallel、Context parallel、ZeRO 等。 个人理解,分布式训练的基本思路是“切分”+“聚合”。比如,假设模型输入的尺寸为 (batch_size, seq_len, hidden_dim) ,模型为一个 N 层的 Transfo
world_size = 8, pipeline_model_parallel_size = 4 tensor_model_parallel_size = 2 group_ranks如下图所示,即tp会按0和1卡、2和3卡...划分 print(group_ranks) vllm/distributed/device_communicators/base_device_communicator.py init_model_parallel_group()会返回一个GroupCoordinator类,它是一个用于管理...
--enforce-eager However, when I run it with--tensor-parallel-size 4, the model does not finish loading and the server crashes after about 10 minutes: $python -m vllm.entrypoints.openai.api_server \ --model meta-llama/Meta-Llama-3-8B-Instruct \ --download-dir /mnt/nvme/models/ \ --...
What is the meaning of the "tensor-parallel-size" when init the AsyncLLMEngine? if I set it as 2, how is the parallelism been executed when a inference request comes, It parallel the input tensors to the 2 different GPUs? or it paralle-distribute the model's weight? When I test the...
tensor_parallel_size=4, # 使用 4 个 GPU 进行张量并行 ) # 定义输入和采样参数 prompts = [ "What is the capital of France?", "Explain the theory of relativity.", "Write a short story about a robot.", "How does photosynthesis work?" ...
context-parallel-size 。 (此参数目前仅适用于Llama3系列模型长序列训练) LR 2.5e-5 学习率设置。 MIN_LR 2.5e-6 最小学习率设置。 SEQ_LEN 4096 要处理的最大序列长度。 MAX_PE 8192 设置模型能够处理的最大序列长度。 来自:帮助中心 查看更多 → 训练启动脚本说明和参数配置 context-parallel-size...
详解MegatronLM Tensor模型并行训练(Tensor Parallel)的主要内容如下：背景介绍：Megatron-LM于2020年发布，专门针对十亿参数级别的语言模型进行训练，如具有38亿参数的类GPT-2的transformer模型和39亿参数的BERT模型。模型并行训练有层间并行(inter-layer)和层内并行(intra-layer)两种方式，分别对应模型的竖切...
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-public/ppl.pmx (github.com) 参考文献: ...
图片由译者附。GeForce GTX780 (Kepler)内存层次结构。Mei, X., & Chu, X. (2015). Dissecting GPU Memory Hierarchy Through Microbenchmarking. IEEE Transactions on Parallel and Distributed Systems, 28, 72-86. 要执行矩阵乘法运算,我们需要合理利用 GPU 的内存层次结构,从速度较慢的全局内存到较快的二级...
For tensor_parallel_degree, you select a value for the degree of tensor parallelism. The value must evenly divide the number of GPUs in your cluster. For example, to shard your model while using an instance with 8 GPUs, choose 2, 4, or 8. We recommend that you start with a small num...