Buckets:
| # Add the r64 rank point (controlled fake-quant, N=256) for the rank curve r0->r64->r128, | |
| # then recompute metrics over all models incl. r64. | |
| set -e | |
| export PYTHONPATH=. | |
| export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
| N=256 | |
| echo "### SVDQuant r64 (fake-q)" | |
| python3 -u scripts/32_gen_eval.py fq:64 outputs/eval/imgs/pilot_fq64 0 $N 512 | |
| echo "### metrics @ N=256 (incl r64)" | |
| python3 -u scripts/34_metrics.py outputs/eval/imgs/teacher outputs/eval/imgs/mjhq_ref \ | |
| outputs/eval/imgs/pilot_ours128_real outputs/eval/imgs/pilot_fq128 \ | |
| outputs/eval/imgs/pilot_fq64 outputs/eval/imgs/pilot_fq0 | |
| echo "### R64 DONE" | |
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- 634 Bytes
- Xet hash:
- 46e2e9e95702528c8577d3379702e694dbdfdea5d2cc1df78f5a7715eeeabbcd
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