Skip to main content

cli-serving

Operate the alphafold3_pytorch CLI and alphafold3_pytorch_app Gradio entry points, construct safe multimolecule commands, and diagnose checkpoint, device, output, entity, cache, and precision behavior.

Zur Installation springen

Quellinformationen

Repository
VectorSpaceLab/AREX-Skill
Letzte Quellaktivität
26. August 2026 um 16:31
Erkannte Sprache von SKILL.md
Englisch
Sterne
12
Forks
2

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
5 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
cli-serving
description
Operate the alphafold3_pytorch CLI and alphafold3_pytorch_app Gradio entry points, construct safe multimolecule commands, and diagnose checkpoint, device, output, entity, cache, and precision behavior.
disable-model-invocation
true
metadata
{"disco-role":"operating"}
license
MIT
# CLI and local serving Use this sub-skill when the task is to plan or operate the package's two console entry points, construct a command without executing it, or explain the local Gradio application's entity and cache lifecycle. ## Route first - For checkpoint format, model construction, `init_and_load`, tensor shapes, or inference internals, use [model-inference](../model-inference/SKILL.md). - For sequence-to-`Alphafold3Input` semantics, ligand chemistry, ion handling, or output structure conversion, use [input-representation](../input-representation/SKILL.md). - Do not treat this sub-skill as a production deployment or public-server hardening guide; the app launches a local Gradio UI with its own defaults. ## Operating path 1. Confirm that the target checkpoint is an existing regular file and that the package entry point is available. 2. Choose the plain CLI for a non-interactive run. Repeat `--protein`, `--rna`, and `--dna` once per entity; pass Click's boolean value explicitly when using `--use-cuda`. 3. Build and inspect a command with [`build_cli_command.py`](scripts/build_cli_command.py). The helper validates inputs and prints only a shell-quoted command; it never imports the package, runs inference, creates output directories, or launches Gradio. 4. Use the app only when an interactive local UI is wanted. Treat its cache directory as disposable because startup removes the whole directory before creating it again. 5. Use the bundled references for exact flags, entity normalization, output formats, CUDA fallback, cache/session cleanup, and the precision limitation. The CLI writes a structure as mmCIF. The app writes per-session PDB files for its molecule viewer. Neither entry point supplies a dry-run inference mode. The app's `--precision` argument is accepted for compatibility/documentation, but the current executable code does not convert model device or dtype; do not claim that it enables mixed precision, quantization, or CUDA. ## Bundled material - [CLI reference](references/cli-reference.md) — exact entry points, flags, Click syntax, repeated entities, and output behavior. - [Serving workflow](references/serving-workflow.md) — safe preflight, non-interactive command construction, app lifecycle, and synthetic cases. - [Troubleshooting](references/troubleshooting.md) — checkpoint, input, device, path, cache, UI normalization, and precision failure recovery. - [Safe command builder](scripts/build_cli_command.py) — validates a command specification and prints a shell-safe command without running it.
Auf GitHub ansehen