outputs/eval/r64.log

### SVDQuant r64 (fake-q)
=== gen MODE=fq:64 OUT=outputs/eval/imgs/pilot_fq64 N=256 RES=512 ===
W0613 20:44:03.851000 34087 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
W0613 20:44:03.878000 34087 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
Unable to import `torchao` Tensor objects. This may affect loading checkpoints serialized with `torchao`

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calibrating act stats (4 fwd passes)...

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applied fake-quant NVFP4 W4A4 SVDQuant-NVFP4 rank64, no-smooth plain-SVD refine=3

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DONE fq:64 -> outputs/eval/imgs/pilot_fq64 (256 new imgs, 309s)
### metrics @ N=256 (incl r64)
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
/usr/local/lib/python3.11/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
/usr/local/lib/python3.11/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
Loading model from: /usr/local/lib/python3.11/dist-packages/lpips/weights/v0.1/alex.pth
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
/usr/local/lib/python3.11/dist-packages/open_clip/factory.py:450: UserWarning: QuickGELU mismatch between final model config (quick_gelu=False) and pretrained tag 'openai' (quick_gelu=True).
  warnings.warn(
W0613 20:56:42.350000 34397 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
W0613 20:56:42.373000 34397 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.

Loading weights:   0%|          | 0/910 [00:00<?, ?it/s]
Loading weights:  69%|██████▉   | 628/910 [00:00<00:00, 6279.39it/s]
Loading weights: 100%|██████████| 910/910 [00:00<00:00, 6555.25it/s]
--- teacher (256 imgs) ---
  {'PickScore': 21.6368, 'CLIP': 30.9781, 'LPIPS': None, 'PSNR': None, 'FID_vs_real': np.float64(128.599), 'FID_vs_teacher': None}
--- pilot_ours128_real (256 imgs) ---
  {'PickScore': 21.5982, 'CLIP': 30.9701, 'LPIPS': 0.1714, 'PSNR': 18.1972, 'FID_vs_real': np.float64(129.002), 'FID_vs_teacher': np.float64(42.732)}
--- pilot_fq128 (256 imgs) ---
  {'PickScore': 21.622, 'CLIP': 31.0382, 'LPIPS': 0.1758, 'PSNR': 18.1218, 'FID_vs_real': np.float64(128.777), 'FID_vs_teacher': np.float64(43.849)}
--- pilot_fq64 (256 imgs) ---