简易实现里面没有考虑模型参数备份、显存优化、异步通信等等问题,只为了解如何通过torch.distributed接口来实现PipeDream的并行。 pp_group=get_pipeline_parallel_group()pp_size=pp_group.size()# Run warmup forward processoutput_chunks=[]num_warmp=min(pp_size-self.pp_rank,x.shape[0])foriinrange(num_...
(#4412,#5408,#6115,#6120). You can now run the API server with--pipeline-parallel-size. This feature is in early stage, please let us know your feedback. 2. 配置 ParallelConfig: pipeline_parallel_size: Number of pipeline parallel groups. 参数验证: EngineConfig self.model_config.verify_w...
三、Pipeline Parallel的性能优化策略 为了克服Pipeline Parallel的性能瓶颈,提高大模型训练的效率,我们可以采取以下优化策略,同时利用百度智能云文心快码(Comate)快速生成和优化相关代码: 优化Bubble Time 增加Micro-Batch Size:通过增加每个Mini-Batch中的Micro-Batch数量,可以减少Bubble Time的占比。这是因为更多的Micro-B...
3.Parallel(并行) 2017.9.25新增parallel stage支持。 Declarative Pipeline近期新增了对并行嵌套stage的支持,对耗时长,相互不存在依赖的stage可以使用此方式提升运行效率。除了parallel stage,单个parallel里的多个step也可以使用并行的方式运行。 Example 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ...
Pipelineparallelismoccurs when a number of modules in an application execute in parallel but on independent subsets of data (thus distinguishing this process from task parallelism). InFig. 27.1, this would occur when modules A, D, and E are all operating on independent portions of the data. Th...
{ "outputDataKeys": "mxpi_modelinfer7" }, "factory": "mxpi_dataserialize", "next": "mxpi_parallel2serial8:7" }, "mxpi_parallel2serial8":{ "factory":"mxpi_parallel2serial", "next":"appsink0" }, "appsink0": { "props": { "blocksize": "409600000" }, "factory": "appsink" }...
Declarative Pipeline近期新增了对并行嵌套stage的支持,对耗时长,相互不存在依赖的stage可以使用此方式提升运行效率。除了parallel stage,单个parallel里的多个step也可以使用并行的方式运行。 pipeline { agent any stages {stage('Non-Parallel Stage') { steps { ...
--interleave-group-sizeThe number of microbatches in an interleaved 1F1B group. This should be ⌈d/ 2⌉ todwheredis Pipeline Parallel Size. --cpu-offloadEnable offloading. --offload-timeThe time ratios of one-way activation offload and Forward + Backward: (D2H + H2D) / 2 / (Forward...
core.pipeline_parallel.p2p_communication.send_forward_recv_forward(output_tensor:torch.Tensor,recv_prev:bool,tensor_shape:Union[List[int],torch.Size],config:megatron.core.ModelParallelConfig,overlap_p2p_comm:bool=False)→ torch.Tensor Batched recv from previous rank and send to next rank in pipeli...
答: Pipeline(流水线)是 Jenkins 2.0 的精髓它基于Groovy语言实现的一种DSL(领域特定语言),简而言之就是一套运行于Jenkins上的工作流框架,用于描述整条流水线是如何进行的。它将原本独立运行于单个或者多个节点的任务连接起来,实现单个任务难以完成的复杂流程编排与可视化。 Q: 什么是DSL? 答: DSL即 (Domain Sp...