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# Experiment 1
Data shape for DDIM sampling is (1, 3, 64, 64), eta 0.0
DDIM Sampler: 34% 169/500 [01:11<02:29, 2.21it/s]relative time(svd-rsvd): -10.675921 秒
rank: 205
DDIM Sampler: 36% 179/500 [01:52<04:52, 1.10it/s]relative time(svd-rsvd): -11.121409 秒
rank: 206
DDIM Sampler: 38% 189/500 [02:32<04:35, 1.13it/s]relative time(svd-rsvd): -11.417583 秒
rank: 208
DDIM Sampler: 40% 199/500 [03:14<04:28, 1.12it/s]relative time(svd-rsvd): -11.458303 秒
rank: 209
DDIM Sampler: 42% 209/500 [03:55<04:17, 1.13it/s]relative time(svd-rsvd): -11.219030 秒
rank: 209
DDIM Sampler: 44% 219/500 [04:35<04:07, 1.14it/s]relative time(svd-rsvd): -11.380488 秒
rank: 209
DDIM Sampler: 46% 229/500 [05:16<04:00, 1.13it/s]relative time(svd-rsvd): -11.398644 秒
rank: 209
DDIM Sampler: 48% 239/500 [05:57<03:51, 1.13it/s]relative time(svd-rsvd): -11.141715 秒
rank: 209
DDIM Sampler: 50% 249/500 [06:38<03:42, 1.13it/s]relative time(svd-rsvd): -11.230191 秒
rank: 205
DDIM Sampler: 52% 259/500 [07:18<03:32, 1.14it/s]relative time(svd-rsvd): -10.880200 秒
rank: 205
DDIM Sampler: 54% 269/500 [07:59<03:22, 1.14it/s]relative time(svd-rsvd): -10.707360 秒
rank: 206
DDIM Sampler: 56% 279/500 [08:39<03:16, 1.12it/s]relative time(svd-rsvd): -10.694687 秒
rank: 205
DDIM Sampler: 58% 289/500 [09:19<03:09, 1.12it/s]relative time(svd-rsvd): -10.500084 秒
rank: 204
DDIM Sampler: 60% 299/500 [09:59<02:56, 1.14it/s]relative time(svd-rsvd): -10.608509 秒
rank: 204
DDIM Sampler: 62% 309/500 [10:40<02:53, 1.10it/s]relative time(svd-rsvd): -10.953121 秒
rank: 202
DDIM Sampler: 64% 319/500 [11:21<02:42, 1.12it/s]relative time(svd-rsvd): -11.348021 秒
rank: 202
DDIM Sampler: 66% 329/500 [12:02<02:33, 1.11it/s]relative time(svd-rsvd): -11.390943 秒
rank: 201
DDIM Sampler: 68% 339/500 [12:43<02:21, 1.14it/s]relative time(svd-rsvd): -0.802805 秒
rank: 57
DDIM Sampler: 70% 349/500 [16:00<07:00, 2.78s/it]relative time(svd-rsvd): -0.800910 秒
rank: 57
DDIM Sampler: 72% 359/500 [19:13<06:33, 2.79s/it]relative time(svd-rsvd): -0.786314 秒
rank: 57
DDIM Sampler: 74% 369/500 [22:41<06:28, 2.97s/it]relative time(svd-rsvd): -1.177600 秒
rank: 57
DDIM Sampler: 76% 379/500 [25:42<05:19, 2.64s/it]relative time(svd-rsvd): -0.792857 秒
rank: 57
DDIM Sampler: 78% 389/500 [29:01<05:14, 2.83s/it]relative time(svd-rsvd): -0.783588 秒
rank: 56
DDIM Sampler: 80% 399/500 [31:43<04:02, 2.40s/it]relative time(svd-rsvd): -0.792140 秒
rank: 57
DDIM Sampler: 82% 409/500 [34:40<03:53, 2.57s/it]relative time(svd-rsvd): -0.775118 秒
rank: 56
DDIM Sampler: 84% 419/500 [37:05<02:57, 2.19s/it]relative time(svd-rsvd): -0.765225 秒
rank: 57
DDIM Sampler: 86% 429/500 [39:31<02:36, 2.20s/it]relative time(svd-rsvd): -0.815033 秒
rank: 57
DDIM Sampler: 88% 439/500 [42:01<02:16, 2.23s/it]relative time(svd-rsvd): -0.758146 秒
rank: 56
DDIM Sampler: 90% 449/500 [44:23<01:50, 2.17s/it]relative time(svd-rsvd): -0.778527 秒
rank: 57
DDIM Sampler: 92% 459/500 [46:48<01:30, 2.20s/it]relative time(svd-rsvd): -1.071235 秒
rank: 57
DDIM Sampler: 94% 469/500 [49:10<01:06, 2.15s/it]relative time(svd-rsvd): -0.776321 秒
rank: 56
DDIM Sampler: 96% 479/500 [51:43<00:47, 2.27s/it]relative time(svd-rsvd): -1.121667 秒
rank: 56
DDIM Sampler: 98% 489/500 [53:36<00:19, 1.80s/it]relative time(svd-rsvd): -0.777843 秒
rank: 56
DDIM Sampler: 100% 500/500 [55:30<00:00, 6.66s/it]
relative time(svd-rsvd): -0.786932 秒
rank: 56
Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
/usr/local/lib/python3.12/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/python3.12/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /root/.cache/torch/hub/checkpoints/vgg16-397923af.pth
100% 528M/528M [00:08<00:00, 68.4MB/s]
Loading model from: /usr/local/lib/python3.12/dist-packages/lpips/weights/v0.1/vgg.pth
measurement psnr: 26.739238500799722
measurement nmse: 0.008155140094459057
measurement ssim: 0.68996567
measurement lpips: 0.2891526520252228