Besov-Weighted Gaussian Persistence Regularizer / results.json

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 1{
 2  "device": "cuda",
 3  "math": {
 4    "telescoping_max_abs": 1.1920928955078125e-07,
 5    "sinusoid_weighted_by_scale": [
 6      [
 7        0.042559392750263214,
 8        0.1727912276983261,
 9        0.48217660188674927
10      ],
11      [
12        0.293558269739151,
13        0.29565879702568054,
14        0.13211527466773987
15      ],
16      [
17        0.11558084189891815,
18        0.07519253343343735,
19        0.14154227077960968
20      ]
21    ],
22    "s0_low_high": [
23      0.3719642460346222,
24      0.08860951662063599
25    ],
26    "s05_low_high": [
27      0.5925893783569336,
28      0.13487082719802856
29    ]
30  },
31  "cuda_error": "RuntimeError('GET was unable to find an engine to execute this computation')",
32  "baseline": {
33    "val_acc": [
34      1.0,
35      1.0,
36      1.0
37    ],
38    "train_loss": [
39      6.780022658858798e-07,
40      5.587935003603661e-09,
41      0.0
42    ],
43    "reg": [
44      0.0,
45      0.0,
46      0.0
47    ]
48  },
49  "idea": {
50    "val_acc": [
51      1.0,
52      1.0,
53      1.0
54    ],
55    "train_loss": [
56      0.001724841771647334,
57      0.0019163143588230014,
58      0.0014462284743785858
59    ],
60    "reg": [
61      0.17238862812519073,
62      0.19157761335372925,
63      0.14445801079273224
64    ]
65  }
66}