3.1,推理适应性并行(Inference-adapted parallelism) 3.2,推理优化内核(Inference-optimized kernels) 3.2.1,通用和专用 Transformer 内核 3.3,灵活的量化支持(Flexible quantization support) 3.4,模型压缩模块(DeepSpeed Compression) 四,DeepSpeed Inference 模块的特性 4.1,易用性:从训练到推理的无缝衔接 pipeline 4.2,开...
Hi, I had some questions about the pipeline parallelism implementation in DeepSpeed. Can someone help shed some information on the following? From among the following types of pipeline scheduling, which one does DeepSpeed implement in it...
在LLM的Transformer训练中,已经出现了三种主要的分布式训练范式:数据并行(Data Parallelism, DP)、张量并行(Tensor Parallelism, TP)和流水线并行(Pipeline Parallelism, PP)。 数据并行的基本形式是每个GPU维护整个模型参数的完整副本,但处理不同的输入数据。每次训练迭代结束后,所有GPU需要同步模型参数。为了缓解LLM巨大参...
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Support for Custom Model Parallelism Integration with Megatron-LM Pipeline Parallelism 3D Parallelism The Zero Redundancy Optimizer (ZeRO) Optimizer State and Gradient Partitioning Activation Partitioning Constant Buffer Optimization Contiguous Memory Optimization ...
Data, model, and pipeline parallelism each perform a specific role in improving memory and compute efficiency. Figure 1 illustrates our 3D strategy. Memory Efficiency: The layers of the model are divided into pipeline stages, and the layers of each stage are further divided via model parallelism....
Therefore, the growth in model size has been made possible mainly through advances in system technology for training large DL models, with parallel technologies such as model parallelism, pipeline parallelism, and ZeRO allowing large models to fit in aggregate GPU memory, crea...
DeepSpeed reduces the training memory footprint through a novel solution called Zero Redundancy Optimizer (ZeRO). Unlike basic data parallelism where memory states are replicated across data-parallel processes, ZeRO partitions model states to save significant memory. The current implementation (stage 1 of...
Microsoft announced the new advancements in the popular deep learning optimisation library known as DeepSpeed.
Pipeline Parallelism 3D Parallelism The Zero Redundancy Optimizer (ZeRO) Optimizer State and Gradient Partitioning Activation Partitioning Constant Buffer Optimization Contiguous Memory Optimization ZeRO-Offload Leverage both CPU/GPU memory for model training Support 10B model training on a single GPU Ul...