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3e4128c0a8
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resize rainfall to be 1/2 size of current
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2022-09-01 18:47:07 +01:00 |
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8a86728b54
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ai: how did I miss that
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2022-09-01 18:07:53 +01:00 |
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b2f1ba29bb
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debug a
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2022-09-01 18:05:33 +01:00 |
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e2f621e212
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even moar debug logging
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2022-09-01 17:49:51 +01:00 |
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2663123407
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moar logging
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2022-09-01 17:40:23 +01:00 |
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c2fcb3b954
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ai: channels_first → channels_last
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2022-09-01 17:06:18 +01:00 |
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f1d7973f22
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ai: add dummy label
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2022-09-01 17:01:00 +01:00 |
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17d42fe899
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ai: json.dumps
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2022-09-01 16:21:52 +01:00 |
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940f7aa1b5
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ai: set self.model
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2022-09-01 16:20:23 +01:00 |
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f1be5fe2bd
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ai: add missing arguments to LossContrastive
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2022-09-01 16:14:00 +01:00 |
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ddb375e906
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ai: another typo
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2022-09-01 16:12:05 +01:00 |
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cb3e1d3a23
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ai: fixup
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2022-09-01 16:10:50 +01:00 |
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e4c95bc7e3
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typo
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2022-09-01 16:09:24 +01:00 |
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cfbbe8e8cf
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ai: global? really?
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2022-09-01 16:06:24 +01:00 |
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4952ead094
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ai: try the nonlocal keyword? I'm unsure what's going on here
....clearly I need to read up on scoping in python.
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2022-09-01 16:02:37 +01:00 |
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1d9d0fbb73
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requirements.txt:a dd tensorflow_addons
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2022-09-01 15:56:02 +01:00 |
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8bdded23eb
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ai: fix 'nother crash' name ConvNeXt submodels
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2022-08-31 18:57:27 +01:00 |
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b2a320134e
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ai: typo
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2022-08-31 18:54:03 +01:00 |
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e4edc68df5
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ai: add missing gamma layer
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2022-08-31 18:52:35 +01:00 |
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51cf08a386
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ResNetRSV2 → ConvNeXt
ironically this makes the model simpler o/
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2022-08-31 18:51:01 +01:00 |
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3d614d105b
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channels first
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2022-08-31 18:06:59 +01:00 |
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654eefd9ca
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properly handle water dimensions; add log files to .gitignore
TODO: add heightmap
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2022-08-31 18:03:39 +01:00 |
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5846828f9e
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debug logging
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2022-08-31 17:48:09 +01:00 |
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12c77e128d
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handle feature_dim properly
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2022-08-31 17:41:51 +01:00 |
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c52a9f961c
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and another
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2022-08-31 17:37:28 +01:00 |
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58dbabd561
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fix another crash
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2022-08-31 17:33:07 +01:00 |
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5fc0725917
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slurm: chmod +x
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2022-08-31 16:33:07 +01:00 |
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dbf929325a
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typo; add pretrain slurm job file
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2022-08-31 16:32:17 +01:00 |
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e0162bc70b
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requirements.txt: add missing dependencies
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2022-08-31 16:25:47 +01:00 |
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f2312c1184
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fix crash
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2022-08-31 16:25:27 +01:00 |
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fe7a8b3fc0
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Add 9 simple steps to use the rainfall radar model..... oh boy.
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2022-08-31 16:18:28 +01:00 |
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15a3519107
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ai: the best thing about implementing a model is that you don't have to test it on the same day :P
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2022-08-11 18:26:28 +01:00 |
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28bcdf2192
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vscode settings file
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2022-08-11 16:38:25 +01:00 |
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c0a9cb12d8
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ai: start creating initial model implementation.
it's not hooked up to the CLI yet though.
Focus is still on ensuring the dataset is in the right format though
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2022-08-10 19:03:25 +01:00 |
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6cdf2b2389
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wrangler python child: explicitly close stdout+stderr.
Hopefully this will avoid any more hanging issues.
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2022-08-10 18:51:30 +01:00 |
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5880bf9020
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wrangler: add current date to process indicator.
There's a bug that causes it to hang, but we don't know why
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2022-08-10 18:50:57 +01:00 |
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231c832888
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wrangler bugfix: crashes; logging output
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2022-08-10 17:33:10 +01:00 |
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b52c7f89a7
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Move dataset parsing function to the right place
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2022-08-10 17:24:55 +01:00 |
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50f214450f
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wrangler: fix crash
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2022-08-10 17:05:01 +01:00 |
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0bac8c8c0c
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fixup
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2022-08-08 17:23:24 +01:00 |
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405f1a0bb0
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fixup
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2022-08-08 17:22:31 +01:00 |
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5e1356513c
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slurm: use compute, because 28 tf processes in parallel is too much for the GPU memory
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2022-08-08 17:22:18 +01:00 |
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133ef59af3
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fixup
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2022-08-08 16:33:05 +01:00 |
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80e1a33ee2
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slurm-jsonl2tfrecord.job: auto install dependencies
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2022-08-08 16:31:49 +01:00 |
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1442d20524
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slurm: request gpu
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2022-08-08 15:56:46 +01:00 |
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f6f2e3694c
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json2tfrecord: write slurm job file
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2022-08-08 15:53:32 +01:00 |
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222a6146ec
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write glue for .jsonl.gz → .tfrecord.gz converter
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2022-08-08 15:33:59 +01:00 |
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f3652edf82
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fixup
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2022-08-05 19:10:40 +01:00 |
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9399d1d8f5
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Create (untested) JS interface to Python jsonl→tfrecord converter
also test Python .jsonl.gz → .tfrecord.gz
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2022-08-05 19:10:28 +01:00 |
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a02c3436ab
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get python bridge working t convert .jsonl.gz → .tfrecord.gz
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2022-08-05 18:07:04 +01:00 |
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