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Author	SHA1	Message	Date
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