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d37e7224f5
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train-mono: tidy up arg passing
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2022-12-08 18:47:03 +00:00 |
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b53db648bf
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fixup
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2022-12-08 18:31:42 +00:00 |
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18c0210704
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typo
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2022-12-08 17:00:25 +00:00 |
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a3c9416cf0
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LossCrossentropy: don't sum
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2022-12-08 16:57:11 +00:00 |
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08046340f4
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dataset_mono: normalise heightmap
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2022-12-08 16:10:34 +00:00 |
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d997157f55
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dataset_mono: log when using heightmap
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2022-12-06 19:30:11 +00:00 |
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468c150570
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slurm-train-mono: add HEIGHTMAP
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2022-12-06 19:28:06 +00:00 |
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d0f2e3d730
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readfile: do transparent gzip by default
....but there's a glad to turn it off if needed
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2022-12-06 19:27:39 +00:00 |
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eac6472c97
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Implement support for (optionally) taking a heightmap in
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2022-12-06 18:55:58 +00:00 |
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f92b2b3472
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according to the equation it looks like it's 2
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2022-12-02 17:22:46 +00:00 |
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cad82cd1bc
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CBAM: unsure if it's 1 ro 3 dense ayers in the shared mlp
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2022-12-02 17:21:13 +00:00 |
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62f6a993bb
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implement CBAM, but it's UNTESTED
Convolutional Block Attention Module.
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2022-12-02 17:17:45 +00:00 |
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9d666c3b38
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train mono: type=int → float
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2022-12-01 15:39:44 +00:00 |
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53dfa32685
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model_mono: log learning rate
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2022-12-01 15:10:51 +00:00 |
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c384d55dff
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add arg to adjust learning rate
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2022-11-29 20:55:00 +00:00 |
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8e23e9d341
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model_segmenter: we're no longer using sparse
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2022-11-29 19:28:27 +00:00 |
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9a2b4c6838
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dsseg: fix reshape/onehot ordering
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2022-11-29 19:28:13 +00:00 |
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df774146d9
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dataset_segmenter: reshape, not squeeze
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2022-11-29 19:24:54 +00:00 |
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77b8a1a8db
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dataset_segmenter: squeeze
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2022-11-29 19:16:15 +00:00 |
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2258b5a229
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slurm-train: reduce RAM required by 10GB
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2022-11-29 19:15:34 +00:00 |
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01101ad30b
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losscrossentropy: return the reduced value * facepalm *
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2022-11-29 19:07:08 +00:00 |
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ff65393e78
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log file naming update
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2022-11-29 18:41:14 +00:00 |
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37f196a785
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LossCrossentropy: add kwargs
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2022-11-29 15:40:35 +00:00 |
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838ff56a3b
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mono: fix loading checkpoint
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2022-11-29 15:25:11 +00:00 |
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dba6cbffcd
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WHY. * facepalms *
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2022-11-28 19:33:42 +00:00 |
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57b8eb93fb
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fixup
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2022-11-28 19:09:35 +00:00 |
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6640a41bb7
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almost got it....? it's not what I expected....!
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2022-11-28 19:08:50 +00:00 |
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f48473b703
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fixup
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2022-11-28 19:00:11 +00:00 |
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f6feb125e3
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this iss ome serious debugging.
This commit will produce an extremely large volume of output.
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2022-11-28 18:57:41 +00:00 |
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09f81b0746
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train_mono: debug
this commit will generate a large amount of debug output.
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2022-11-28 16:46:17 +00:00 |
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f39e4ade70
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LayerConvNextGamma: fix config serialisation bug
.....this is unlikely to be the problem as this bug is in an unused code path.
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2022-11-25 21:16:31 +00:00 |
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e7410fb480
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train_mono_predict: limit label size to 64x64
that's the size the model predicts
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2022-11-25 17:47:17 +00:00 |
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51dd484d13
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fixup
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2022-11-25 16:55:45 +00:00 |
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884c4eb150
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rainfall_stats: formatting again
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2022-11-24 19:08:07 +00:00 |
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bfe038086c
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rainfall_stats: formatting
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2022-11-24 19:07:44 +00:00 |
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7dba03200f
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fixup
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2022-11-24 19:06:48 +00:00 |
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e5258b9c66
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typo
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2022-11-24 19:06:13 +00:00 |
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64d646bb13
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rainfall_stats: formatting
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2022-11-24 19:05:35 +00:00 |
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675c7a7448
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fixup
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2022-11-24 19:03:28 +00:00 |
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afc1cdcf02
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fixup
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2022-11-24 19:02:58 +00:00 |
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e4bea89c89
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typo
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2022-11-24 19:01:52 +00:00 |
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a40cbe8705
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rainfall_stats: remove unused imports
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2022-11-24 19:01:18 +00:00 |
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fe57d6aab2
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rainfall_stats: initial implementation
this might reveal why we are having problems. If most/all the rainfall radar
data is v small numbers, normalising
might help.
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2022-11-24 18:58:16 +00:00 |
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3131b4f7b3
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debug2
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2022-11-24 18:25:32 +00:00 |
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d55a13f536
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debug
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2022-11-24 18:24:03 +00:00 |
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1f60f2a580
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do_argmax
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2022-11-24 18:11:03 +00:00 |
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6c09d5254d
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fixup
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2022-11-24 17:57:48 +00:00 |
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54a841efe9
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train_mono_predict: convert to correct format
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2022-11-24 17:56:07 +00:00 |
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105dc5bc56
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missing kwargs
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2022-11-24 17:51:29 +00:00 |
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1e1d6dd273
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fixup
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2022-11-24 17:48:19 +00:00 |
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011e0aef78
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update cli docs
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2022-11-24 16:38:07 +00:00 |
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773944f9fa
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train_mono_predict: initial implementation
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2022-11-24 16:33:50 +00:00 |
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d31326cb30
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slurm train mono: fix partition name
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2022-11-22 17:02:02 +00:00 |
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ce28ac4013
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slurm: add job for train_mono
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2022-11-22 16:58:46 +00:00 |
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3a0356929c
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mono: drop the sparse
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2022-11-22 16:20:56 +00:00 |
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7e8f63f8ba
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fixup
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2022-11-21 19:38:24 +00:00 |
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ace4c8b246
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dataset_mono: debug
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2022-11-21 18:46:21 +00:00 |
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527b34942d
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convnext_inverse: kernel_size 4→2
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2022-11-11 19:29:37 +00:00 |
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0662d0854b
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model_mono: fix bottleneck
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2022-11-11 19:11:40 +00:00 |
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73acda6d9a
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fix debug logging
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2022-11-11 19:08:38 +00:00 |
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9da059d738
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model shape logging
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2022-11-11 19:03:37 +00:00 |
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00917b2698
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dataset_mono: log shapes
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2022-11-11 19:02:43 +00:00 |
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54ae88b1b4
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in this entire blasted project I have yet to get the rotation of anything correct....!
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2022-11-11 18:58:45 +00:00 |
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a7a475dcd1
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debug 2
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2022-11-11 18:38:07 +00:00 |
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bf2f6e9b64
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debug logging
it begins again
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2022-11-11 18:31:40 +00:00 |
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481eeb3759
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mono: fix dataset preprocessing
rogue dimension
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2022-11-11 18:31:27 +00:00 |
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9035450213
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mono: instantiate right model
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2022-11-11 18:28:29 +00:00 |
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69a2d0cf04
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fixup
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2022-11-11 18:27:01 +00:00 |
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65e801cf28
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train_mono: fix crash
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2022-11-11 18:26:25 +00:00 |
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8ac5159adc
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dataset_mono: simplify param passing, onehot+threshold water depth data
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2022-11-11 18:23:50 +00:00 |
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3a3f7e85da
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typo
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2022-11-11 18:03:09 +00:00 |
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3313f77c88
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Add (untested) mono rainfall → water depth model
* sighs *
Unfortunately I can't seem to get contrastive learning to work.....
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2022-11-10 22:36:11 +00:00 |
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ce194d9227
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slurm: customise log file names
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2022-11-10 21:09:34 +00:00 |
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9384b89165
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model_segmentation: spare → normal crossentropy, activation functions at end
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2022-11-10 20:53:37 +00:00 |
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b6676e7361
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switch from sparse to normal crossentropy
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2022-11-10 20:50:56 +00:00 |
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d8be26d476
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Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar
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2022-11-10 20:49:01 +00:00 |
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b03388de60
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dataset_segmenter: DEBUG: fix water shape
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2022-11-10 20:48:21 +00:00 |
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daf691bf43
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typo
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2022-11-10 19:55:00 +00:00 |
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0aa2ce19f5
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read_metadata: support file inputs as well as dirs
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2022-11-10 19:53:30 +00:00 |
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aa7d9b8cf6
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fixup
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2022-11-10 19:46:09 +00:00 |
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0894bd09e8
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train_predict: add error message for parrams.json not found
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2022-11-10 19:45:41 +00:00 |
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0353072d15
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allow pretrain to run on gpu
we've slashed the size of the 2nd encoder, so ti should fit naow?
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2022-11-04 17:02:07 +00:00 |
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44ad51f483
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CallbackNBatchCsv: bugfix .sort() → sorted()
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2022-11-04 16:40:21 +00:00 |
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4dddcfcb42
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pretrain_predict: missing \n
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2022-11-04 16:01:28 +00:00 |
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1375201c5f
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CallbackNBatchCsv: open_handle mode
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2022-11-03 18:29:00 +00:00 |
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3206d6b7e7
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slurm: rename segmenter job name
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2022-11-03 17:12:27 +00:00 |
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f2ae74ce7b
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how could I be so stupid..... round 2
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2022-11-02 17:38:26 +00:00 |
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5f8d6dc6ea
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Add metrics every 64 batches
this is important, because with large batches it can be difficult to tell what's happening inside each epoch.
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2022-10-31 19:26:10 +00:00 |
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cf872ef739
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how could I be so *stupid*......
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2022-10-31 18:40:58 +00:00 |
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da32d75778
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make_callbacks: display steps, not samples
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2022-10-31 18:36:28 +00:00 |
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dfef7db421
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moar debugging
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2022-10-31 18:26:34 +00:00 |
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172cf9d8ce
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tweak
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2022-10-31 18:19:43 +00:00 |
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dbe35ee943
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loss: comment l2 norm
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2022-10-31 18:09:03 +00:00 |
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5e60319024
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fixup
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2022-10-31 17:56:49 +00:00 |
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b986b069e2
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debug party time
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2022-10-31 17:50:29 +00:00 |
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458faa96d2
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loss: fixup
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2022-10-31 17:18:21 +00:00 |
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55dc05e8ce
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contrastive: comment weights that aren't needed
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2022-10-31 16:26:48 +00:00 |
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33391eaf16
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train_predict/jsonl: don't argmax
I'm interested inthe raw values
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2022-10-26 17:21:19 +01:00 |
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74f2cdb900
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train_predict: .list() → .tolist()
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2022-10-26 17:12:36 +01:00 |
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4f9d543695
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train_predict: don't pass model_code
it's redundant
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2022-10-26 17:11:36 +01:00 |
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