code/scripts
| script | purpose | device |
|---|---|---|
fetch_samples.sh |
template for downloading public sample data that may not be redistributed (sha256-checked); no source is enabled (nuScenes and METEOR are never fetched by the bundle) | no |
make_sample.py |
generates the shipped synthetic sample samples/synthetic_5cam*, its preset and its stored CPU reference (optimise / finalise; research venv, CPU) |
no |
make_samples.py |
builds the PandaSet 019 f40-43 sample from the research ship sample (default --dest staging: the git-ignored staging_samples_pandaset/) |
no |
make_goldens.py |
CPU reference goldens of the PandaSet sample and the research TF records (research venv) | no |
bench.py |
stage breakdown of a warm forward, device-only replays, AICLK, agreement checks (the card / OPT numbers) | yes, via bin/devrun |
profile_ops.py / profile_summary.py |
signposted eager + traced frames under the device profiler (python -m tracy -r -p -v ...), the ttnn-visualizer report, and their summary |
yes / no |
run_public_tt.py |
a public sequence (PandaSet 019, nuScenes scene-0103 / 0916 of the tt-models workspace) through the API, scored against the research CPU goldens | yes |
make_demo.py |
renders media/ from the TT outputs (dataset mosaics / BEV plots through the research renderer, TT vs CPU, the synthetic sample) |
no |
container_smoke.sh |
serve ONE serve profile of the built package (--profile NAME; default profile otherwise), run server/smoke_test.py against it (asserts ETH dispatch, the 12x10 grid and the profile's pins; compares with the stored CPU reference), keep the evidence (container log, /info, the /predict output and the result, in logs/smoke/ of the repo or --log-dir DIR), always stop it; one bin/devrun -t 3600 -k 150 window per profile |
yes |
Everything here ships in code/ on the Hub and inside the image (source.extra_code lists scripts).