This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing ColumnParallelLinear and RowParallelLinear classes.
This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing ColumnParallelLinear and RowParallelLinear classes.
Category: developer (开发工具) · Author: letta-ai · Version: @main
npx skills add letta-ai/torch-tensor-parallelism下载完整 Skill 目录，包含 SKILL.md 及所有相关文件
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Category:developer