6defd24000
bugfix: too many values to unpack
2022-09-15 19:56:17 +01:00
e3c8277255
ai: tweak the segmentation model structure
2022-09-15 19:54:50 +01:00
1bc8a5bf13
ai: fix crash
2022-09-15 19:37:06 +01:00
bd64986332
ai: implement batched_iterator to replace .batch()
...
...apparently .batch() means you get a BatchedDataset or whatever when you iterate it like a tf.function instead of the actual tensor :-/
2022-09-15 19:16:38 +01:00
ccd256c00a
embed rainfall radar, not both
2022-09-15 17:37:04 +01:00
2c74676902
predict → predict_on_batch
2022-09-15 17:31:50 +01:00
f036e79098
fixup
2022-09-15 17:09:26 +01:00
d5f1a26ba3
disable prefetching when predicting a thing
2022-09-15 17:09:09 +01:00
8770638022
ai: call .predict(), not the model itself
2022-09-14 17:41:01 +01:00
a96cefde62
ai: predict oops
2022-09-14 17:37:48 +01:00
fa3165a5b2
dataset: simplify dataset_predict
2022-09-14 17:33:17 +01:00
279e27c898
fixup
2022-09-14 17:16:49 +01:00
fad3313ede
fixup
2022-09-14 17:14:04 +01:00
1e682661db
ai: kwargs in from_checkpoint
2022-09-14 17:11:06 +01:00
6bda24d4da
ai: how did I miss that?!
...
bugfix ah/c
2022-09-14 16:53:43 +01:00
decdd434d8
ai from_checkpoint: bugfix
2022-09-14 16:49:01 +01:00
c9e00ea485
pretrain_predict: fix import
2022-09-14 16:02:36 +01:00
f568d8d19f
io.open → handle_open
...
this was we get transparent .gz support
2022-09-14 16:01:22 +01:00
9b25186541
fix --only-gpu
2022-09-14 15:55:21 +01:00
a9c9c70d13
typo
2022-09-14 15:17:59 +01:00
fb8f884487
add umap dependencies
2022-09-14 15:16:45 +01:00
1876a8883c
ai pretrain-predict: fix - → _ in cli parsing
2022-09-14 15:12:07 +01:00
f97b771922
make --help display help
2022-09-14 15:03:07 +01:00
3c1aef5913
update help
2022-09-13 19:36:56 +01:00
206257f9f5
ai pretrain_predict: no need to plot here anymore
2022-09-13 19:35:44 +01:00
7685ec3e8b
implement ability to embed & plot pretrained embeddings
2022-09-13 19:18:59 +01:00
7130c4fdf8
start implementing core image segmentation model
2022-09-07 17:45:38 +01:00
22620a1854
ai: implement saving only the rainfall encoder
2022-09-06 19:48:46 +01:00
4c4358c3e5
whitespace
2022-09-06 16:24:11 +01:00
4202821d98
typo
2022-09-06 15:37:36 +01:00
3e13ad12c8
ai Bugfix LayerContrastiveEncoder: channels → input_channels
...
for consistency
2022-09-05 23:53:16 +01:00
ead8009425
pretrain: add CLI arg for size of watch prediction width/height
2022-09-05 15:36:40 +01:00
9d39215dd5
dataset: drop incomplete batches
2022-09-05 15:36:10 +01:00
c94f5d042e
ai: slurm fixup again
2022-09-02 19:13:56 +01:00
7917820e59
ai: slurm fixup
2022-09-02 19:11:54 +01:00
cd104190e8
slurm: no need to be exclusive anymore
2022-09-02 19:09:45 +01:00
a9dede7bfe
ai: n=10 slurm
2022-09-02 19:09:07 +01:00
42de502f99
slurm-pretrain: set name
2022-09-02 19:08:16 +01:00
457c2eef0d
ai: fixup
2022-09-02 19:06:54 +01:00
a3f03b6d8d
slurm-pretrain: prepare
2022-09-02 19:05:18 +01:00
1d1533d160
ai: how did things get this confusing
2022-09-02 18:51:46 +01:00
1c5defdcd6
ai: cats
2022-09-02 18:45:23 +01:00
6135bcd0cd
fixup
2022-09-02 18:41:31 +01:00
c33c0a0899
ai: these shapes are so annoying
2022-09-02 18:39:24 +01:00
88acd54a97
ai: off-by-one
2022-09-02 18:13:48 +01:00
23bcd294c4
AI: 0.75 → 0.5?
2022-09-02 18:12:51 +01:00
b0e1aeac35
ai: knew it
2022-09-02 18:10:29 +01:00
ef0f15960d
send correct water shape to
2022-09-02 18:09:36 +01:00
ad156a9a00
ai dataset: centre crop the water data to 75% original size
...
this should both help the model and reduce memory usage
2022-09-02 18:05:32 +01:00
efe41b96ec
fixup
2022-09-02 17:58:02 +01:00
f8ee0afca1
ai: fix arch_name plumbing
2022-09-02 17:57:07 +01:00
3d44831080
Add NO_PREFETCH env var
2022-09-02 17:55:04 +01:00
3e0ca6a315
ai: fix summary file writing; make water encoder smaller
2022-09-02 17:51:45 +01:00
389216b391
reordering
2022-09-02 17:31:19 +01:00
b9d01ddadc
summary logger → summarywriter
2022-09-02 17:28:00 +01:00
9f7f4af784
dataset: properly resize
2022-09-02 17:09:38 +01:00
c78b6562ef
debug adjustment
2022-09-02 17:00:21 +01:00
c89677abd7
dataset: explicit reshape
2022-09-02 16:57:59 +01:00
c066ea331b
dataset: namespace → dict
...
Python is so annoying
2022-09-02 16:07:44 +01:00
dbff15d4a9
add bug comment
2022-09-01 19:05:50 +01:00
3e4128c0a8
resize rainfall to be 1/2 size of current
2022-09-01 18:47:07 +01:00
8a86728b54
ai: how did I miss that
2022-09-01 18:07:53 +01:00
b2f1ba29bb
debug a
2022-09-01 18:05:33 +01:00
e2f621e212
even moar debug logging
2022-09-01 17:49:51 +01:00
2663123407
moar logging
2022-09-01 17:40:23 +01:00
c2fcb3b954
ai: channels_first → channels_last
2022-09-01 17:06:18 +01:00
f1d7973f22
ai: add dummy label
2022-09-01 17:01:00 +01:00
17d42fe899
ai: json.dumps
2022-09-01 16:21:52 +01:00
940f7aa1b5
ai: set self.model
2022-09-01 16:20:23 +01:00
f1be5fe2bd
ai: add missing arguments to LossContrastive
2022-09-01 16:14:00 +01:00
ddb375e906
ai: another typo
2022-09-01 16:12:05 +01:00
cb3e1d3a23
ai: fixup
2022-09-01 16:10:50 +01:00
e4c95bc7e3
typo
2022-09-01 16:09:24 +01:00
cfbbe8e8cf
ai: global? really?
2022-09-01 16:06:24 +01:00
4952ead094
ai: try the nonlocal keyword? I'm unsure what's going on here
...
....clearly I need to read up on scoping in python.
2022-09-01 16:02:37 +01:00
1d9d0fbb73
requirements.txt:a dd tensorflow_addons
2022-09-01 15:56:02 +01:00
8bdded23eb
ai: fix 'nother crash' name ConvNeXt submodels
2022-08-31 18:57:27 +01:00
b2a320134e
ai: typo
2022-08-31 18:54:03 +01:00
e4edc68df5
ai: add missing gamma layer
2022-08-31 18:52:35 +01:00
51cf08a386
ResNetRSV2 → ConvNeXt
...
ironically this makes the model simpler o/
2022-08-31 18:51:01 +01:00
3d614d105b
channels first
2022-08-31 18:06:59 +01:00
654eefd9ca
properly handle water dimensions; add log files to .gitignore
...
TODO: add heightmap
2022-08-31 18:03:39 +01:00
5846828f9e
debug logging
2022-08-31 17:48:09 +01:00
12c77e128d
handle feature_dim properly
2022-08-31 17:41:51 +01:00
c52a9f961c
and another
2022-08-31 17:37:28 +01:00
58dbabd561
fix another crash
2022-08-31 17:33:07 +01:00
5fc0725917
slurm: chmod +x
2022-08-31 16:33:07 +01:00
dbf929325a
typo; add pretrain slurm job file
2022-08-31 16:32:17 +01:00
e0162bc70b
requirements.txt: add missing dependencies
2022-08-31 16:25:47 +01:00
f2312c1184
fix crash
2022-08-31 16:25:27 +01:00
15a3519107
ai: the best thing about implementing a model is that you don't have to test it on the same day :P
2022-08-11 18:26:28 +01:00
c0a9cb12d8
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
2022-08-10 19:03:25 +01:00
b52c7f89a7
Move dataset parsing function to the right place
2022-08-10 17:24:55 +01:00
222a6146ec
write glue for .jsonl.gz → .tfrecord.gz converter
2022-08-08 15:33:59 +01:00
28a3f578d5
update .gitignore
2022-08-04 16:49:53 +01:00
323d708692
dataset: add todo
...
just why, Tensorflow?!
tf.data.TextLineDataset looks almost too good to be true..... and it is, as despite supporting decompressing via gzip(!) it doesn't look like we can convince it to parse JSON :-/
2022-07-26 19:53:18 +01:00
b53c77a2cb
index.py: call static function name run
2022-07-26 19:51:28 +01:00
a7ed58fc03
ai: move requirements.txt to the right place
2022-07-26 19:25:11 +01:00
e93a95f1b3
ai dataset: add if main == main
2022-07-26 19:24:40 +01:00
de4c3dab17
typo
2022-07-26 19:14:55 +01:00