Quark Install

Purpose

Install or verify amd-quark without relying on another skill, a Quark checkout, or pre-generated workflow artifacts. Detect the actual hardware, ensure PyTorch matches it, choose the smallest safe Quark install, obtain approval, execute it, and verify the requested capabilities.

Prerequisites

• GPU support depends on the selected PyTorch build and Quark wheel. Record the actual runtime, host kernel and driver, and GPU architecture (gfx... from gcnArchName on AMD); verify compatibility with that environment instead of assuming a fixed ROCm version or GPU target.
• No container image is required. If running in a container, record its image name or digest when available and verify GPU device access.
• Inspect and preserve QUARK_ACCELERATOR, PYTORCH_ROCM_ARCH, QUARK_BUILD_DISABLE_JIT_FALLBACK, HSA_OVERRIDE_GFX_VERSION, HIP_VISIBLE_DEVICES, and CUDA_VISIBLE_DEVICES. Include any required changes in the confirmed install plan. Report PIP_EXTRA_INDEX_URL only as set or unset because its value may contain credentials.

Inputs

• Python interpreter or environment to modify. Default to the active interpreter, but make its resolved path explicit.
• Requested Quark source: existing environment, PyPI, an AMD native-wheel index, a local wheel, or a local source directory. Default to the universal PyPI wheel.
• Optional version constraint.
• Compute intent: GPU by default; CPU only after explicit user confirmation.
• Required capabilities: basic Quark import, Quark PyTorch kernels, ONNX custom operators, or quark-cli.