Quark Torch Install

What it does

When your agent uses it

• The user needs PyTorch set up
• Reports torch version conflicts
• CUDA/ROCm package mismatches
• Torch.cuda.isavailable() returns False

Example prompts

• “install PyTorch”
• “pip install torch”
• “set up torch for ROCm”
• “/quark-torch-install”

Requirements

• Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Open tools/ci/install_torch.sh and locate the version arrays or case/if blocks that map accelerator tags to PyTorch versions.
2. 2Extract the accelerator identifier (e.g., rocm7.1, cu126, cpu).
3. 3Extract the supported PyTorch version list for that accelerator.
4. 4Construct the install command using the pattern below.

What it can do on your machine

Read from SKILL.md and the folder at commit 313cb0b. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • pip
  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • download.pytorch.org

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Quark Torch Install loads about 1.6k tokens when it runs. Until then it costs about 146 tokens; SKILL.md has 614 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~146

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from amd/Quark at commit 313cb0b, republished under its MIT licence (© amd). 614 words, ~1,611 tokens.

name

quark-torch-install

description

Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation. Use when the user needs PyTorch set up, reports torch version conflicts, CUDA/ROCm package mismatches, or when torch.cuda.is_available() returns False. Trigger for "install PyTorch", "pip install torch", "set up torch for ROCm", "set up torch for CUDA", "torch version mismatch", "CPU-only torch installed", or any request to get the correct PyTorch build running. Also trigger when quark-install reports that PyTorch is missing or mismatched before proceeding.

layer

l1-atomic

primary_artifact

pytorch_install_result.json

source_knowledge

tools/ci/install_torch.sh, docs/source/install.rst

{
  "status": "ok",
  "pytorch_version": "2.5.1+cu126",
  "accelerator_tag": "cu126",
  "torchvision_version": "0.20.1+cu126",
  "torchaudio_version": "2.5.1+cu126",
  "verification": {
    "import_ok": true,
    "cuda_available": true,
    "gpu_count": 1
  }
}

# ROCm — torchvision only, no torchaudio
pip install torch torchvision --index-url https://download.pytorch.org/whl/<rocm_tag>

# CUDA — includes torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/<cuda_tag>

# CPU — includes torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

# PyTorch backend check
python -c "import torch; print('PyTorch:', torch.__version__); print('CUDA:', torch.version.cuda); print('HIP:', torch.version.hip)"

# GPU availability
python -c "import torch; print('CUDA available:', torch.cuda.is_available()); print('GPU count:', torch.cuda.device_count())"

© amd, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills-impl/l1-atomic/torch/quark-torch-install of amd/Quark.

Open the folder on GitHubat commit 313cb0b