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387 commits

Author SHA1 Message Date
Starbeamrainbowlabs 649c262960
mono: switch loss from crossentropy to dice 2022-12-09 18:13:37 +00:00
Starbeamrainbowlabs 7fd7c750d6
jupyter: identity test 
status: FAILED, as usual....!
Don't worry though, 'cause we has a *planses*..... MUHAHAHAHAHAHAHA
* cue evil laugh *
 2022-12-09 18:07:56 +00:00
Starbeamrainbowlabs cf9e8aa237
jupyter: convnext-mono identity test 2022-12-09 15:50:27 +00:00
Starbeamrainbowlabs 2a1772a211
confvnext_intrevse: add shallow 2022-12-08 19:10:12 +00:00
Starbeamrainbowlabs c27869630a
I hate VSCode's git commit interface 
it doesn't let you ammend
 2022-12-08 18:58:54 +00:00
Starbeamrainbowlabs b3345963f3
missing arg pass 2022-12-08 18:58:32 +00:00
Starbeamrainbowlabs 3dde9b69da
fixup 2022-12-08 18:56:32 +00:00
Starbeamrainbowlabs 6fce39f696
WHY?!?!?! 2022-12-08 18:55:53 +00:00
Starbeamrainbowlabs 26766366fc
I hate the python code intelligence 
it's bad
 2022-12-08 18:55:15 +00:00
Starbeamrainbowlabs ff56f591c7
I hate python 2022-12-08 18:53:37 +00:00
Starbeamrainbowlabs d37e7224f5
train-mono: tidy up arg passing 2022-12-08 18:47:03 +00:00
Starbeamrainbowlabs b53db648bf
fixup 2022-12-08 18:31:42 +00:00
Starbeamrainbowlabs 18c0210704
typo 2022-12-08 17:00:25 +00:00
Starbeamrainbowlabs a3c9416cf0
LossCrossentropy: don't sum 2022-12-08 16:57:11 +00:00
Starbeamrainbowlabs 08046340f4
dataset_mono: normalise heightmap 2022-12-08 16:10:34 +00:00
Starbeamrainbowlabs d997157f55
dataset_mono: log when using heightmap 2022-12-06 19:30:11 +00:00
Starbeamrainbowlabs 468c150570
slurm-train-mono: add HEIGHTMAP 2022-12-06 19:28:06 +00:00
Starbeamrainbowlabs d0f2e3d730
readfile: do transparent gzip by default 
....but there's a glad to turn it off if needed
 2022-12-06 19:27:39 +00:00
Starbeamrainbowlabs eac6472c97
Implement support for (optionally) taking a heightmap in 2022-12-06 18:55:58 +00:00
Starbeamrainbowlabs f92b2b3472
according to the equation it looks like it's 2 2022-12-02 17:22:46 +00:00
Starbeamrainbowlabs cad82cd1bc
CBAM: unsure if it's 1 ro 3 dense ayers in the shared mlp 2022-12-02 17:21:13 +00:00
Starbeamrainbowlabs 62f6a993bb
implement CBAM, but it's UNTESTED 
Convolutional Block Attention Module.
 2022-12-02 17:17:45 +00:00
Starbeamrainbowlabs 9d666c3b38
train mono: type=int → float 2022-12-01 15:39:44 +00:00
Starbeamrainbowlabs 53dfa32685
model_mono: log learning rate 2022-12-01 15:10:51 +00:00
Starbeamrainbowlabs c384d55dff
add arg to adjust learning rate 2022-11-29 20:55:00 +00:00
Starbeamrainbowlabs 8e23e9d341
model_segmenter: we're no longer using sparse 2022-11-29 19:28:27 +00:00
Starbeamrainbowlabs 9a2b4c6838
dsseg: fix reshape/onehot ordering 2022-11-29 19:28:13 +00:00
Starbeamrainbowlabs df774146d9
dataset_segmenter: reshape, not squeeze 2022-11-29 19:24:54 +00:00
Starbeamrainbowlabs 77b8a1a8db
dataset_segmenter: squeeze 2022-11-29 19:16:15 +00:00
Starbeamrainbowlabs 2258b5a229
slurm-train: reduce RAM required by 10GB 2022-11-29 19:15:34 +00:00
Starbeamrainbowlabs 01101ad30b
losscrossentropy: return the reduced value * facepalm * 2022-11-29 19:07:08 +00:00
Starbeamrainbowlabs ff65393e78
log file naming update 2022-11-29 18:41:14 +00:00
Starbeamrainbowlabs 37f196a785
LossCrossentropy: add kwargs 2022-11-29 15:40:35 +00:00
Starbeamrainbowlabs 838ff56a3b
mono: fix loading checkpoint 2022-11-29 15:25:11 +00:00
Starbeamrainbowlabs dba6cbffcd
WHY. * facepalms * 2022-11-28 19:33:42 +00:00
Starbeamrainbowlabs 57b8eb93fb
fixup 2022-11-28 19:09:35 +00:00
Starbeamrainbowlabs 6640a41bb7
almost got it....? it's not what I expected....! 2022-11-28 19:08:50 +00:00
Starbeamrainbowlabs f48473b703
fixup 2022-11-28 19:00:11 +00:00
Starbeamrainbowlabs f6feb125e3
this iss ome serious debugging. 
This commit will produce an extremely large volume of output.
 2022-11-28 18:57:41 +00:00
Starbeamrainbowlabs 09f81b0746
train_mono: debug 
this commit will generate a large amount of debug output.
 2022-11-28 16:46:17 +00:00
Starbeamrainbowlabs f39e4ade70
LayerConvNextGamma: fix config serialisation bug 
.....this is unlikely to be the problem as this bug is in an unused code path.
 2022-11-25 21:16:31 +00:00
Starbeamrainbowlabs e7410fb480
train_mono_predict: limit label size to 64x64 
that's the size the model predicts
 2022-11-25 17:47:17 +00:00
Starbeamrainbowlabs 51dd484d13
fixup 2022-11-25 16:55:45 +00:00
Starbeamrainbowlabs 884c4eb150
rainfall_stats: formatting again 2022-11-24 19:08:07 +00:00
Starbeamrainbowlabs bfe038086c
rainfall_stats: formatting 2022-11-24 19:07:44 +00:00
Starbeamrainbowlabs 7dba03200f
fixup 2022-11-24 19:06:48 +00:00
Starbeamrainbowlabs e5258b9c66
typo 2022-11-24 19:06:13 +00:00
Starbeamrainbowlabs 64d646bb13
rainfall_stats: formatting 2022-11-24 19:05:35 +00:00
Starbeamrainbowlabs 675c7a7448
fixup 2022-11-24 19:03:28 +00:00
Starbeamrainbowlabs afc1cdcf02
fixup 2022-11-24 19:02:58 +00:00
Starbeamrainbowlabs e4bea89c89
typo 2022-11-24 19:01:52 +00:00
Starbeamrainbowlabs a40cbe8705
rainfall_stats: remove unused imports 2022-11-24 19:01:18 +00:00
Starbeamrainbowlabs fe57d6aab2
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.
 2022-11-24 18:58:16 +00:00
Starbeamrainbowlabs 3131b4f7b3
debug2 2022-11-24 18:25:32 +00:00
Starbeamrainbowlabs d55a13f536
debug 2022-11-24 18:24:03 +00:00
Starbeamrainbowlabs 1f60f2a580
do_argmax 2022-11-24 18:11:03 +00:00
Starbeamrainbowlabs 6c09d5254d
fixup 2022-11-24 17:57:48 +00:00
Starbeamrainbowlabs 54a841efe9
train_mono_predict: convert to correct format 2022-11-24 17:56:07 +00:00
Starbeamrainbowlabs 105dc5bc56
missing kwargs 2022-11-24 17:51:29 +00:00
Starbeamrainbowlabs 1e1d6dd273
fixup 2022-11-24 17:48:19 +00:00
Starbeamrainbowlabs 011e0aef78
update cli docs 2022-11-24 16:38:07 +00:00
Starbeamrainbowlabs 773944f9fa
train_mono_predict: initial implementation 2022-11-24 16:33:50 +00:00
Starbeamrainbowlabs d31326cb30
slurm train mono: fix partition name 2022-11-22 17:02:02 +00:00
Starbeamrainbowlabs ce28ac4013
slurm: add job for train_mono 2022-11-22 16:58:46 +00:00
Starbeamrainbowlabs 3a0356929c
mono: drop the sparse 2022-11-22 16:20:56 +00:00
Starbeamrainbowlabs 7e8f63f8ba
fixup 2022-11-21 19:38:24 +00:00
Starbeamrainbowlabs ace4c8b246
dataset_mono: debug 2022-11-21 18:46:21 +00:00
Starbeamrainbowlabs 527b34942d
convnext_inverse: kernel_size 4→2 2022-11-11 19:29:37 +00:00
Starbeamrainbowlabs 0662d0854b
model_mono: fix bottleneck 2022-11-11 19:11:40 +00:00
Starbeamrainbowlabs 73acda6d9a
fix debug logging 2022-11-11 19:08:38 +00:00
Starbeamrainbowlabs 9da059d738
model shape logging 2022-11-11 19:03:37 +00:00
Starbeamrainbowlabs 00917b2698
dataset_mono: log shapes 2022-11-11 19:02:43 +00:00
Starbeamrainbowlabs 54ae88b1b4
in this entire blasted project I have yet to get the rotation of anything correct....! 2022-11-11 18:58:45 +00:00
Starbeamrainbowlabs a7a475dcd1
debug 2 2022-11-11 18:38:07 +00:00
Starbeamrainbowlabs bf2f6e9b64
debug logging 
it begins again
 2022-11-11 18:31:40 +00:00
Starbeamrainbowlabs 481eeb3759
mono: fix dataset preprocessing 
rogue dimension
 2022-11-11 18:31:27 +00:00
Starbeamrainbowlabs 9035450213
mono: instantiate right model 2022-11-11 18:28:29 +00:00
Starbeamrainbowlabs 69a2d0cf04
fixup 2022-11-11 18:27:01 +00:00
Starbeamrainbowlabs 65e801cf28
train_mono: fix crash 2022-11-11 18:26:25 +00:00
Starbeamrainbowlabs 8ac5159adc
dataset_mono: simplify param passing, onehot+threshold water depth data 2022-11-11 18:23:50 +00:00
Starbeamrainbowlabs 3a3f7e85da
typo 2022-11-11 18:03:09 +00:00
Starbeamrainbowlabs 3313f77c88
Add (untested) mono rainfall → water depth model 
* sighs *
Unfortunately I can't seem to get contrastive learning to work.....
 2022-11-10 22:36:11 +00:00
Starbeamrainbowlabs ce194d9227
slurm: customise log file names 2022-11-10 21:09:34 +00:00
Starbeamrainbowlabs 9384b89165
model_segmentation: spare → normal crossentropy, activation functions at end 2022-11-10 20:53:37 +00:00
Starbeamrainbowlabs b6676e7361
switch from sparse to normal crossentropy 2022-11-10 20:50:56 +00:00
Starbeamrainbowlabs d8be26d476
Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar 2022-11-10 20:49:01 +00:00
Starbeamrainbowlabs b03388de60
dataset_segmenter: DEBUG: fix water shape 2022-11-10 20:48:21 +00:00
Starbeamrainbowlabs daf691bf43
typo 2022-11-10 19:55:00 +00:00
Starbeamrainbowlabs 0aa2ce19f5
read_metadata: support file inputs as well as dirs 2022-11-10 19:53:30 +00:00
Starbeamrainbowlabs aa7d9b8cf6
fixup 2022-11-10 19:46:09 +00:00
Starbeamrainbowlabs 0894bd09e8
train_predict: add error message for parrams.json not found 2022-11-10 19:45:41 +00:00
Starbeamrainbowlabs 0353072d15
allow pretrain to run on gpu 
we've slashed the size of the 2nd encoder, so ti should fit naow?
 2022-11-04 17:02:07 +00:00
Starbeamrainbowlabs 44ad51f483
CallbackNBatchCsv: bugfix .sort() → sorted() 2022-11-04 16:40:21 +00:00
Starbeamrainbowlabs 4dddcfcb42
pretrain_predict: missing \n 2022-11-04 16:01:28 +00:00
Starbeamrainbowlabs 1375201c5f
CallbackNBatchCsv: open_handle mode 2022-11-03 18:29:00 +00:00
Starbeamrainbowlabs 3206d6b7e7
slurm: rename segmenter job name 2022-11-03 17:12:27 +00:00
Starbeamrainbowlabs f2ae74ce7b
how could I be so stupid..... round 2 2022-11-02 17:38:26 +00:00
Starbeamrainbowlabs 5f8d6dc6ea
Add metrics every 64 batches 
this is important, because with large batches it can be difficult to tell what's happening inside each epoch.
 2022-10-31 19:26:10 +00:00
Starbeamrainbowlabs cf872ef739
how could I be so *stupid*...... 2022-10-31 18:40:58 +00:00
Starbeamrainbowlabs da32d75778
make_callbacks: display steps, not samples 2022-10-31 18:36:28 +00:00