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Torch Xla

Agent skill
1 skill

Expert guide for PyTorch/XLA (torchxla) development targeting TPU and XLA-compatible devices. Use this skill whenever the user asks about: torchxla, PyTorch on TPU, XLA training, SPMD parallelism, distributed TPU training, XLA checkpointing, MpDeviceLoader, xm.markstep, torchxla.launch, FSDPv2 on XLA, gradient sharding, XLA compilation, lazy tensor execution, or migrating GPU PyTorch code to TPU. Trigger even for partial mentions like "TPU training", "XLA device", "xla backend", "run on TPU", or "SPMD mesh". This skill covers torchxla 2.9.0 (latest stable, requires torch==2.9.0, Python 3.10–3.13).

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryEngineeringStars0

About this skill

Expert guide for PyTorch/XLA (torchxla) development targeting TPU and XLA-compatible devices. Use this skill whenever the user asks about: torchxla, PyTorch on TPU, XLA training, SPMD parallelism, distributed TPU training, XLA checkpointing, MpDeviceLoader, xm.markstep, torchxla.launch, FSDPv2 on XLA, gradient sharding, XLA compilation, lazy tensor execution, or migrating GPU PyTorch code to TPU. Trigger even for partial mentions like "TPU training", "XLA device", "xla backend", "run on TPU", or "SPMD mesh". This skill covers torchxla 2.9.0 (latest stable, requires torch==2.9.0, Python 3.10–3.13).

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 7e2a69afcd3c9c28ea404f7b425f323efd877b14adc5374fd897741b1cafb2be

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About this listing

Category
Engineering
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.