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 Transformer。几种并行方式的基本思想如下...
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...
张量并行概念 张量并行(Tensor Parallelism)是一种模型并行技术,其核心思想是将模型的张量操作(如矩阵乘法、注意力计算等)拆分成多个子任务,分配到不同设备(如GPU)上并行执行。以下从概念、区别与联系三个方面展开分析: 一、张量并行的概念 核心思想: 将模型中的大张量(如权重矩阵)沿特定维度(行或列)切分,分配到...
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...
代码就是 model=torch.nn.DaraParallel(model)。 实际上 DP 是一个Pytorch的nn.Module,所以模型和优化器都需要使用.module来得到实际的模型和优化器。 把数据载入到主GPU。 data,label= data.cuda(),label.cuda() 进行前向传播。 DP 会把模型module 在每个device上复制一份。
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…
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 ...
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...
When tensor parallelism is performed over data parallel ranks, a subset of the parameters, gradients, and optimizer states are partitioned across the tensor parallel devices for the modules that are partitioned. For the rest of the modules, the tensor parallel devices operate in a regular ...
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries - Mamba + Tensor Parallel Support (#1184) · EleutherAI/gpt-neox@277141e