num_epochs int64 | batches_per_epoch int64 | num_batches int64 | batch_size int64 | nc_values list | nb int64 | total_points int64 | dim_x int64 | dim_y int64 | dtype string | keys list | subset string | mode string | normalized bool | normalization_stats dict | note string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
200 | 243 | 48,600 | 32 | [
8,
16,
32,
64,
128,
192
] | 8 | 256 | 1 | 7 | torch.float32 | [
"xc",
"yc",
"xb",
"yb",
"xt",
"yt",
"mask",
"nc",
"nb",
"nt"
] | train | interpolation | true | {
"channel_means": [
-1.0505815365851696,
-0.945826896849366,
-0.8951217496315046,
-0.9544344924578645,
-0.8026160584825981,
-1.0737637504806485,
-0.6995819431315691
],
"channel_stds": [
7.936269910734056,
8.074584970742736,
8.120841462956623,
8.49618866572171,
9.56... | Context size varies per batch; targets = 256 - nc - 8. |
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