torch-pipeline-parallelism

Guidance for implementing PyTorch pipeline parallelism for distributed model training. This skill should be used when tasks involve implementing pipeline parallelism, distributed training with model p

by letta-ai· Repository·design

Run in AgentArea Browse All Skills

Also installable via skills CLI

npx skills add letta-ai/skills/letta/benchmarks/trajectory-only/torch-pipeline-parallelism

Source

Repo:SkillsMP + GitHub Raw

Path:letta/benchmarks/trajectory-only/torch-pipeline-parallelism(main)

Related in design

add-uint-support

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support fo...

skill-writer

Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a...

frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to...