====================================================================== JOHANNA-TINY FULL BATTERY DIAGNOSTIC ====================================================================== Loading local: /content/checkpoints/best.pt Epoch: 10, MSE: 0.06776364320516587 Config: {'V': 256, 'D': 16, 'patch_size': 16, 'hidden': 768, 'depth': 4, 'n_cross_layers': 2, 'target_cv': 0.125, 'dataset': 'curriculum_noise', 'img_size': 64, 'lr': 0.0003} Loaded 16,942,419 params ====================================================================== TEST 1: Per-Type Reconstruction MSE (100 samples each) ====================================================================== gaussian : 0.068355 ± 0.003237 [0.059153 — 0.076495] uniform : 0.034244 ± 0.001081 [0.031722 — 0.036898] uniform_scaled : 0.092888 ± 0.003874 [0.084341 — 0.101410] poisson : 0.070939 ± 0.027295 [0.032886 — 0.121031] pink : 0.462492 ± 0.979842 [0.062882 — 7.263476] brown : 0.302245 ± 0.799905 [0.063013 — 7.263476] salt_pepper : 0.576325 ± 0.010698 [0.553726 — 0.601653] sparse : 0.045705 ± 0.002368 [0.040154 — 0.051907] block : 0.072499 ± 0.010697 [0.053181 — 0.125361] gradient : 0.201614 ± 0.013891 [0.176683 — 0.228614] checkerboard : 0.072973 ± 0.006283 [0.055622 — 0.093111] mixed : 0.036839 ± 0.003151 [0.032720 — 0.048418] structural : 1.918920 ± 0.054320 [1.851429 — 2.043337] cauchy : 0.322844 ± 0.009053 [0.303444 — 0.352085] exponential : 0.063573 ± 0.003070 [0.055251 — 0.071860] laplace : 0.143409 ± 0.006581 [0.127025 — 0.158567] ====================================================================== TEST 2: Byte-Level Accuracy (quantized to 256 levels) ====================================================================== gaussian : exact= 4.9% ±1= 14.6% uniform : exact= 6.8% ±1= 20.2% uniform_scaled : exact= 4.1% ±1= 12.4% poisson : exact= 4.8% ±1= 14.5% pink : exact= 3.2% ±1= 9.8% brown : exact= 3.5% ±1= 10.4% salt_pepper : exact= 1.3% ±1= 4.0% sparse : exact= 6.1% ±1= 17.8% block : exact= 4.9% ±1= 14.7% gradient : exact= 4.0% ±1= 11.9% checkerboard : exact= 4.7% ±1= 13.9% mixed : exact= 6.6% ±1= 19.5% structural : exact= 4.2% ±1= 12.4% cauchy : exact= 2.2% ±1= 6.6% exponential : exact= 5.1% ±1= 15.2% laplace : exact= 3.5% ±1= 10.2% ====================================================================== TEST 3: Geometric Fingerprint Per Type ====================================================================== gaussian : S₀=5.186 SD=3.234 ratio=1.60 erank=15.88 uniform : S₀=5.254 SD=3.057 ratio=1.72 erank=15.87 uniform_scaled : S₀=5.172 SD=3.279 ratio=1.58 erank=15.88 poisson : S₀=5.259 SD=3.020 ratio=1.74 erank=15.87 pink : S₀=5.147 SD=3.254 ratio=1.58 erank=15.87 brown : S₀=5.142 SD=3.265 ratio=1.57 erank=15.87 salt_pepper : S₀=5.156 SD=3.357 ratio=1.54 erank=15.88 sparse : S₀=5.221 SD=3.147 ratio=1.66 erank=15.87 block : S₀=5.191 SD=3.209 ratio=1.62 erank=15.87 gradient : S₀=5.183 SD=3.205 ratio=1.62 erank=15.88 checkerboard : S₀=5.172 SD=3.278 ratio=1.58 erank=15.88 mixed : S₀=5.248 SD=3.067 ratio=1.71 erank=15.87 structural : S₀=5.188 SD=3.220 ratio=1.61 erank=15.88 cauchy : S₀=5.156 SD=3.354 ratio=1.54 erank=15.88 exponential : S₀=5.195 SD=3.218 ratio=1.61 erank=15.88 laplace : S₀=5.165 SD=3.319 ratio=1.56 erank=15.88 ====================================================================== TEST 4: Cross-Type Omega Token Similarity ====================================================================== gauss unifo unifo poiss pink brown salt_ spars block gradi check mixed struc cauch expon lapla gaussian 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 uniform 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 uniform_scaled 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 poisson 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 pink 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 brown 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 salt_pepper 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 sparse 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 block 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 gradient 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 checkerboard 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 mixed 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 structural 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 cauchy 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 exponential 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 laplace 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 ====================================================================== TEST 5: Spectrum Profile Per Type ====================================================================== gaussian : S0=5.192(9.2%) S7=4.293(60.1%) S15=3.234(100%) uniform : S0=5.251(9.4%) S7=4.293(59.8%) S15=3.052(100%) uniform_scaled : S0=5.173(9.1%) S7=4.294(60.1%) S15=3.278(100%) poisson : S0=5.259(9.5%) S7=4.296(59.8%) S15=3.020(100%) pink : S0=5.141(9.0%) S7=4.278(60.3%) S15=3.252(100%) brown : S0=5.137(9.0%) S7=4.279(60.3%) S15=3.270(100%) salt_pepper : S0=5.160(9.1%) S7=4.290(60.2%) S15=3.360(100%) sparse : S0=5.218(9.3%) S7=4.290(60.0%) S15=3.150(100%) block : S0=5.186(9.2%) S7=4.288(60.1%) S15=3.218(100%) gradient : S0=5.184(9.2%) S7=4.288(60.0%) S15=3.201(100%) checkerboard : S0=5.175(9.2%) S7=4.289(60.0%) S15=3.279(100%) mixed : S0=5.247(9.4%) S7=4.291(59.8%) S15=3.066(100%) structural : S0=5.192(9.2%) S7=4.293(60.0%) S15=3.218(100%) cauchy : S0=5.147(9.1%) S7=4.291(60.2%) S15=3.355(100%) exponential : S0=5.194(9.2%) S7=4.295(60.1%) S15=3.216(100%) laplace : S0=5.163(9.1%) S7=4.289(60.2%) S15=3.319(100%) ====================================================================== TEST 6: Reconstruction Grid (saved to johanna_diagnostic_grid.png) ====================================================================== Saved: johanna_diagnostic_grid.png ====================================================================== TEST 7: Zero-Shot Real Image Reconstruction ====================================================================== README.md:   3.90k/? [00:00<00:00, 856kB/s] dataset_infos.json:   3.52k/? [00:00<00:00, 1.06MB/s] TinyImageNet (100 images, 64×64): Mean MSE: 0.079425 Std: 0.043693 Min/Max: 0.040186 / 0.319808 Fidelity: 92.058% ====================================================================== TEST 8: Zero-Shot Text Byte Reconstruction ====================================================================== Input: 'Hello, world! This is a test of the Johanna geometric encode' Output: 'pX��,�����` N�����hJ�t��`g`\��QY}Lm��x�G�^g���]��l����' MSE: 0.087208 Byte acc: 1.6% Input: 'The quick brown fox jumps over the lazy dog. 0123456789 ABCD' Output: '�QY�Tn��4���oh]��dX�Rp��4���k#�����R}K�|�Ta24n_T#llENsX�i' MSE: 0.087562 Byte acc: 0.0% Input: 'import torch; model = PatchSVAE(); output = model(x)' Output: '��Z��O-��~��x!e���WXqX��s�u�=BeQ[��Ru��2�F�g^��J][' MSE: 0.087713 Byte acc: 0.0% Input: 'E = mc² — Albert Einstein, theoretical physicist, 1905' Output: 'r@2W�@��M�ʮ_=c���`WwEo��r��i k���]��Hi��3���kc���[]VH_l' MSE: 0.087590 Byte acc: 1.8% Input: 'To be, or not to be, that is the question. — Shakespeare' Output: '|���-��4���k�L|SeXRj��5��_jb�L�a��Sl��Ct���"��U��Fn��u' MSE: 0.087480 Byte acc: 0.0% ====================================================================== TEST 9: Piecemeal 256→64 Tiled Reconstruction ====================================================================== gaussian : 16 tiles, MSE=0.068466 pink : 16 tiles, MSE=0.090180 salt_pepper : 16 tiles, MSE=0.581173 cauchy : 16 tiles, MSE=0.324597 ====================================================================== TEST 10: Signal Energy Survival Rate ====================================================================== gaussian : survival= 92.3% SNR= 11.7dB orig_E=1.001 recon_E=0.923 uniform : survival= 92.5% SNR= 9.9dB orig_E=0.333 recon_E=0.308 uniform_scaled : survival= 88.6% SNR= 11.5dB orig_E=1.334 recon_E=1.182 poisson : survival= 109.8% SNR= 4.6dB orig_E=0.206 recon_E=0.227 pink : survival= 63.1% SNR= 7.4dB orig_E=2.197 recon_E=1.387 brown : survival= 54.2% SNR= 6.3dB orig_E=2.679 recon_E=1.451 salt_pepper : survival= 57.9% SNR= 8.4dB orig_E=4.010 recon_E=2.322 sparse : survival= 93.1% SNR= 11.4dB orig_E=0.634 recon_E=0.590 block : survival= 90.4% SNR= 11.4dB orig_E=0.995 recon_E=0.899 gradient : survival= 71.6% SNR= 9.1dB orig_E=1.628 recon_E=1.166 checkerboard : survival= 92.2% SNR= 11.7dB orig_E=1.090 recon_E=1.005 mixed : survival= 93.1% SNR= 10.0dB orig_E=0.363 recon_E=0.338 structural : survival= 26.7% SNR= 3.8dB orig_E=4.583 recon_E=1.221 cauchy : survival= 68.0% SNR= 9.6dB orig_E=2.958 recon_E=2.013 exponential : survival= 92.4% SNR= 11.7dB orig_E=0.933 recon_E=0.863 laplace : survival= 82.1% SNR= 11.0dB orig_E=1.815 recon_E=1.489 ====================================================================== TEST 11: Cross-Attention Alpha Profile ====================================================================== Layer 0: mean=0.0338 max=0.0344 min=0.0328 std=0.000502 α[ 0]: 0.03410 █████████████████████████████████████████████████ α[ 1]: 0.03409 █████████████████████████████████████████████████ α[ 2]: 0.03431 █████████████████████████████████████████████████ α[ 3]: 0.03431 █████████████████████████████████████████████████ α[ 4]: 0.03302 ███████████████████████████████████████████████ α[ 5]: 0.03354 ████████████████████████████████████████████████ α[ 6]: 0.03373 ████████████████████████████████████████████████ α[ 7]: 0.03416 █████████████████████████████████████████████████ α[ 8]: 0.03415 █████████████████████████████████████████████████ α[ 9]: 0.03442 █████████████████████████████████████████████████ α[10]: 0.03340 ████████████████████████████████████████████████ α[11]: 0.03322 ████████████████████████████████████████████████ α[12]: 0.03400 █████████████████████████████████████████████████ α[13]: 0.03384 █████████████████████████████████████████████████ α[14]: 0.03435 █████████████████████████████████████████████████ α[15]: 0.03282 ███████████████████████████████████████████████ Layer 1: mean=0.0342 max=0.0357 min=0.0335 std=0.000581 α[ 0]: 0.03400 ███████████████████████████████████████████████ α[ 1]: 0.03407 ███████████████████████████████████████████████ α[ 2]: 0.03382 ███████████████████████████████████████████████ α[ 3]: 0.03383 ███████████████████████████████████████████████ α[ 4]: 0.03510 █████████████████████████████████████████████████ α[ 5]: 0.03458 ████████████████████████████████████████████████ α[ 6]: 0.03438 ████████████████████████████████████████████████ α[ 7]: 0.03390 ███████████████████████████████████████████████ α[ 8]: 0.03388 ███████████████████████████████████████████████ α[ 9]: 0.03357 ███████████████████████████████████████████████ α[10]: 0.03457 ████████████████████████████████████████████████ α[11]: 0.03471 ████████████████████████████████████████████████ α[12]: 0.03391 ███████████████████████████████████████████████ α[13]: 0.03404 ███████████████████████████████████████████████ α[14]: 0.03349 ██████████████████████████████████████████████ α[15]: 0.03566 █████████████████████████████████████████████████ ====================================================================== TEST 12: Compression Metrics ====================================================================== Input: 64×64×3 = 12,288 values Latent: 16×16 = 256 values (omega tokens) Ratio: 48.0:1 compression Patches: 16 of 16×16 Omega shape: (16, 4, 4) At 8-bit: input=12.0KB latent=0.2KB ratio=48.0:1 At 16-bit: input=24.0KB latent=0.5KB ratio=48.0:1 At 32-bit: input=48.0KB latent=1.0KB ratio=48.0:1 Results saved: johanna_diagnostic_results.json ====================================================================== DIAGNOSTIC COMPLETE ======================================================================