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ad52ae9241
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dir: also plot inputs
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2023-03-09 19:13:25 +00:00 |
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436ab78438
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dlr: when predicting, also display heatmap
...of positive predictions
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2023-03-09 18:54:28 +00:00 |
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5195fe6b62
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jupyter test: heatmaps in matplotlib & seaborn
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2023-03-09 18:52:56 +00:00 |
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45c76ba252
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typo
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2023-03-03 22:46:02 +00:00 |
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c909cfd3d1
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fixup
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2023-03-03 22:45:34 +00:00 |
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0734201107
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dlr: tf graph changes
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2023-03-03 22:44:49 +00:00 |
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750f46dbd2
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debug
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2023-03-03 22:39:30 +00:00 |
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5472729f5e
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dlr: fixup argmax & y_true/y_pred
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2023-03-03 22:37:36 +00:00 |
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bc734a29c6
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y_true is one-hot, convert to sparse
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2023-03-03 22:20:11 +00:00 |
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c7b577ab29
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specificity: convert to plaintf
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2023-03-03 22:16:48 +00:00 |
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26cc824ace
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dlr: MeanIoU fixup
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2023-03-03 22:10:49 +00:00 |
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e9dcbe3863
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dlr: fixup
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2023-03-03 22:09:05 +00:00 |
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5c6789bf40
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meaniou: implement one-hot version
it expects sparse, but our output is one-hot.
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2023-03-03 22:04:21 +00:00 |
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6ffda40d48
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fixup
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2023-03-03 21:54:45 +00:00 |
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9b13e9ca5b
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dlr: fixup argmax first
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2023-03-03 21:51:24 +00:00 |
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7453c607ed
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argmax for sensitivity & specificity too
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2023-03-03 21:49:33 +00:00 |
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8470aec996
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dlr: fixup
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2023-03-03 21:45:51 +00:00 |
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3d051a8874
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dlr: HACK: argmax to convert [64,128,128, 2] → [64,128,128]
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2023-03-03 21:41:26 +00:00 |
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94a32e7144
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dlr: fix metrics
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2023-03-03 20:37:22 +00:00 |
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c7f96ab6ab
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dlr: typo
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2023-03-03 20:23:03 +00:00 |
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06f956dc07
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dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values
Ref recent experiments
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2023-03-03 20:17:08 +00:00 |
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b435cc54dd
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dlr: add sensitivity (aka recall) and specificity metrics
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2023-03-03 20:00:05 +00:00 |
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483ecf11c8
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add specificity metric
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2023-03-03 19:35:20 +00:00 |
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d464c9f57d
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dlr: add dice loss as metric
more metrics to go tho
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2023-03-03 19:34:55 +00:00 |
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f70083bea4
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dlr eo: set custom_objects when loading model
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2023-03-01 17:19:10 +00:00 |
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b5f23e76d1
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dlr eo: allow setting DIR_OUTPUT directly
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2023-03-01 16:54:15 +00:00 |
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4fd9feba4f
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dlr eo: tidyup
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2023-03-01 16:47:36 +00:00 |
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69b5ae8838
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dlr eo: this should fix it
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2023-02-23 17:24:30 +00:00 |
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9f1cee2927
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dlr eo: cheese it by upsampling and then downsampling again
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2023-02-23 16:47:00 +00:00 |
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96b94ec55b
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upsampling test
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2023-02-23 16:19:44 +00:00 |
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747ddfd41b
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weird, XLA_FLAGS cuda data dir wasn't needed before
libdevice not found at ./libdevice.10.bc
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2023-02-10 13:28:34 +00:00 |
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e43274cd91
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dlr eo: add VAL_STEPS_PER_EPOCH
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2023-02-03 16:41:30 +00:00 |
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8446a842d1
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typo
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2023-02-03 16:01:54 +00:00 |
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1a8f10339a
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LayerConvNeXtGamma: fix for mixed precision mode
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2023-02-02 16:22:08 +00:00 |
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a630db2c49
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dlr eo: fixup
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2023-02-02 16:17:52 +00:00 |
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2bf1872aca
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dlr eo: add JIT_COMPILE and MIXED_PRECISION
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2023-02-02 16:14:09 +00:00 |
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71088b8c0b
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typo
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2023-02-02 15:48:49 +00:00 |
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f7666865a0
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dlr eo: add STEPS_PER_EXECUTION
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2023-02-02 15:47:08 +00:00 |
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f8202851a1
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dlr eo: add LEARNING_RATE
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2023-01-27 16:51:13 +00:00 |
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fb898ea72b
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slurm eo: seriously....?
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2023-01-26 17:02:33 +00:00 |
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be946091b1
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slurm eo: DIR_OUTPUT → DIRPATH_OUTPUT
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2023-01-26 16:52:14 +00:00 |
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c26a937cdd
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Ignore Kate swap files
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2023-01-20 20:33:32 +00:00 |
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4703bdbea1
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SLURM: add job file for encoderonly
It's pretty much bugfixed, but illykin doesn't have enough RAM to support it at the moment :-(
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2023-01-20 20:32:35 +00:00 |
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818d77c733
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Make dirpath_rainfallwater consistent with other experiments
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2023-01-20 20:31:26 +00:00 |
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e72d3991b8
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switch to a smaller ConvNeXt
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2023-01-20 19:14:38 +00:00 |
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e1ad16a213
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debug A
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2023-01-20 18:58:45 +00:00 |
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65a2e16a4c
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ds_eo: lower memory usage
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2023-01-20 18:55:52 +00:00 |
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b5e68fc1a3
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eo: don't downsample ConvNeXt at beginning
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2023-01-20 18:49:46 +00:00 |
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d5fdab50ed
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dlreo: missing import
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2023-01-20 18:40:35 +00:00 |
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4514086dc6
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make_encoderonly: kwargs
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2023-01-20 18:39:35 +00:00 |
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