张量并行(Tensor Parallelism) 是一种分布式矩阵算法。 随着模型越来越大,模型内的矩阵也越来越大。一个大矩阵的乘法可以拆分成多个小矩阵的运算,这个些运算就可以充分利用 GPU 的多核还有多 GPU 来进行分布式计算,从而提高运算速度。 Megatron-LM 提出了 1D Tensor Parallelism, 也就是两个矩阵之间的分布式计算方法...
实现Tensor parallelism 的前提是计算设备需要处于互联状态,如上图所示,以GPU为例,因产品形态不同,有全连接和部分连接两种状态。 2. GPT 的 tensor parallelism 方案 下图是一个典型GPT模型的结构,主要包括:Embeddings, Decoder(n layers, self-attention+MLP), language model(LM)。下面将逐个部分讨论 tensor parall...
Tensor parallelism is a type of model parallelism in which specific model weights, gradients, and optimizer states are split across devices. In contrast to pipeline parallelism, which keeps individual weights intact but partitions the set of weights, gradients, or optimizer across devices, tensor para...
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...
nlpbloomdistributed-systemsmachine-learningdeep-learningchatbotpytorchfalcontransformerneural-networksllamagptpretrained-modelslanguage-modelsvolunteer-computingpipeline-parallelismguanacotensor-parallelismlarge-language-modelsmixtral UpdatedSep 7, 2024 Python InternLM/InternEvo ...
How the library adapts tensor parallelism to PyTorch nn.Linear module Tensor parallelism takes place at the level of nn.Modules; it partitions specific modules in the model across tensor parallel ranks. This is in addition to the existing partition of the set of modules used in pipeline ...
General considerations# As primary users of tensor parallelism will be using cuBLASMp from Python, it is important to understand the data ordering conventions used by Python and cuBLASMp. Python uses C-ordered matrices, while cuBLASMp uses Fortran-ordered matrices: ...
Tensor Parallelism for MLA 已合并 Ascend:masterAscend:master mojave2创建于 2025-02-24 11:12 克隆/下载 HTTPSSSH 复制 Tensor Parallelism for MLA 此Pull Request 需要通过一些审核项 类型指派人员状态 审查 王姜奔 fengliangjun 已完成(0/0人) mojave2指派了王姜奔参与评审2月24日 11:12...
这是原始 BLOOM 权重的自定义 INT8 版本,可以快速与使用 Tensor Parallelism 的 DeepSpeed-Inference 引擎一起使用。在此存储库中,张量被拆分为 8 个分片,以 8 个 GPU 为目标。点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 an-tiny-arithmetic-operation-function-only-22-lines-of-codes 2025-03-...
数据并行(Data Parallelism): 在现在的深度学习中,有时候因为数据集太大而无法装在一个节点上,所以我们就会把数据进行划分。 在数据并行中,每一个节点都有一份模型,各个节点取不同的数据(通常是一个batch_size),然后各自完成前向和后向的计算得到梯度,这些计算梯度的进程成为worker,还有一个参数服务器,简称ps ser...