rasptorch

Use the rasptorch CLI to create tensors, inspect Vulkan (GPU) availability, build models, and run training.

rasptorch skill

Use this skill when you need to operate rasptorch from an OpenClaw agent by calling its agent-native CLI and consuming JSON output.

Command rule

• Prefer JSON output: always pass --json when returning results to the user/agent.
• Prefer explicit device selection:
  • --device auto (default): use GPU when Vulkan is working, else CPU
  • --device gpu: force GPU (will error / fall back depending on Vulkan availability)
  • --device cpu: force CPU

How to run the CLI

Prefer the installed console script:

bash

rasptorch --json info

If the console script is unavailable, use module invocation from this repo:

bash

python -m rasptorch.CLI.cli --json info

Quick checks (read-only)

Environment + Vulkan status

bash

rasptorch --json info

Key fields:

• vulkan_available
• vulkan_using_real_gpu
• vulkan_status

Tensor workflows

Create tensors

bash

rasptorch --json tensor random --shape 2,3,4 --device cpu --dtype float32
rasptorch --json tensor zeros  --shape 3,4   --device auto
rasptorch --json tensor ones   --shape 5,10  --device gpu

Notes:

• Keep shapes small unless the user explicitly requests large workloads.
• Prefer --device auto unless the user asks to force CPU/GPU.

Model workflows (stateful)

Model commands keep a session-like registry of created models.

Create models

bash

rasptorch --json model linear --input-size 10 --hidden-sizes 32,16 --output-size 2
rasptorch --json model mlp --layers 64,32,16,2
rasptorch --json model cnn --in-channels 3 --out-channels 16,32
rasptorch --json model gru --input-size 8 --hidden-size 32 --num-layers 1
rasptorch --json model transformer --vocab-size 32000 --d-model 256 --num-heads 8 --num-layers 4

List / remove

bash

rasptorch --json model list
rasptorch --json model remove --model-id <model-id>

Save / load (writes files)

Only do this when the user requests it (or approves writing files):

bash

rasptorch --json model save --model-id <model-id> --path ./model.pkl
rasptorch --json model load --path ./model.pkl

Train (writes compute + may take time)

Only run training after user approval.

bash

rasptorch --json model train --model-id <model-id> --epochs 5 --lr 0.001 --batch-size 32 --device auto --optimizer Adam

UI / chat modes

• rasptorch ui starts a Streamlit server (long-running). Only launch with user approval.
• rasptorch chat starts an interactive REPL. Avoid in automated tool flows.