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6fce39f696
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WHY?!?!?!
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2022-12-08 18:55:53 +00:00 |
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26766366fc
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I hate the python code intelligence
it's bad
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2022-12-08 18:55:15 +00:00 |
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ff56f591c7
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I hate python
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2022-12-08 18:53:37 +00:00 |
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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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