090ab78457
dlr: fix (another) crash
2024-11-14 21:53:59 +00:00
7be2222207
dlr: import ...as env
2024-11-14 21:52:41 +00:00
a7ab5ee341
slurm/dlr: cpu cores 14→9
2024-11-14 21:49:54 +00:00
e83d901779
env.py: fix crash
2024-11-14 21:49:03 +00:00
2b69d2c4f2
slurm/dlr: correct logging msg
2024-11-14 21:37:11 +00:00
bd2c6b1c3f
slurm/dlr: don't runmodule load .... on csgpu cluster
2024-11-14 21:34:04 +00:00
4ac7082754
write commit info to file in DIR_OUTPUT
2024-11-14 21:17:53 +00:00
8befef5fc1
slurm/dlr: logging
...
it Should™ work now?
TODO test this!
2024-11-14 19:55:59 +00:00
c82e4bf5ac
Merge branch 'main' of github.com:sbrl/research-rainfallradar
2024-11-14 19:09:39 +00:00
daa923a88b
pyproject.toml: typo
2024-11-14 19:09:26 +00:00
04ea305b70
dlr/slurm: implement USE_CONDA, module command opt-support
2024-11-08 21:47:55 +00:00
f94f777f0a
dlr: make cv2 import optional
2024-11-01 20:40:55 +00:00
e908e4b693
dlr: Note about RANDSEED
2024-08-30 18:50:26 +01:00
0761651ccf
tvt: implement CallbackExtraValidation, which allows for a third split
...
it should tie into Tensorflow's logging just fine so long as it's the first callback in the queue.
***** TEST SCRIPT *****
model = tf.keras.Sequential([
tf.keras.layers.Dense(64, activation='relu', input_shape=(10,)),
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(1)
])
model.compile(optimizer='adam', loss='mse', metrics=['mae'])
X = np.random.random((100, 10))
y = np.random.random((100, 1))
split = 80
X_train, X_val = X[:split], X[split:]
y_train, y_val = y[:split], y[split:]
train_dataset = tf.data.Dataset.from_tensor_slices((X_train, y_train)).batch(10)
val_dataset = tf.data.Dataset.from_tensor_slices((X_val, y_val)).batch(10)
history = model.fit(train_dataset,
epochs=10,
validation_data=val_dataset,
callbacks=[
CallbackExtraValidation({
"test": val_dataset
}, verbose=0),
tf.keras.callbacks.CSVLogger("/dev/stdout", separator="\t")
],
verbose=0
)
print(f"DEBUG history {history}")
2024-08-30 18:07:17 +01:00
e5f6e6394f
Implement initial UNTESTED support for split_validation and split_test
2024-08-29 19:33:40 +01:00
b2b96ab636
replace tensorflow_addons with keras_cv
2024-08-29 19:32:54 +01:00
2d73d84e20
uv pip sync doesn't install dependencies of packages
2024-08-29 19:31:42 +01:00
b31485f7a1
add pyproject.toml
2024-08-29 18:58:57 +01:00
61ee2326cf
licence change
2024-08-29 18:36:11 +01:00
c98c42fa7e
dataset_mono: Implement validate_percentage + test_percentage support
...
This removes the train_percentage argument
TODO: map this forwards to enable support in deeplabv3_plus_test_rainfall
...thinking about it, it's really not a test now, is it? Updating the filename would be such a /hassle/ though....
2024-08-29 16:44:19 +01:00
5d62e3cee8
Implement env from PhD-smflooding-scene
2024-08-29 16:43:29 +01:00
a75d4f5d79
dataset_mono: add todo
2024-08-02 19:48:29 +01:00
0f9f185983
dlr: add PARALLEL_READS env var, update docs
2023-11-30 16:33:22 +00:00
e14fa275ab
rr de: rerun to recaalculate
...
these values are accurate to our dataset now
2023-11-23 18:35:39 +00:00
76b2956703
rr de: update to dataset_mono_predict
2023-11-03 15:48:53 +00:00
e44b5533b1
plot_metrics_multi: add option to plot train/val separately
2023-07-20 15:49:09 +01:00
b5b26d980b
dlr: print filepaths
...
we need to know which is which with this seed so we can visualise for the paper
2023-07-13 19:58:38 +01:00
636b316bfc
plot_multi: actually fix the plots
2023-07-05 16:35:26 +01:00
9efc72db73
dlr ds/mono: just why
2023-06-16 18:36:18 +01:00
a4e80229fb
dlr ds/mono: fixup
2023-06-16 18:35:02 +01:00
7869505cfb
dlr: add PREDICT_AS_ONE
2023-06-16 18:23:40 +01:00
4bbc4c29c4
plot_metrics_multi: add RESOLUTION env var
2023-06-14 15:50:37 +01:00
18db54f0a7
plot_metrics_multi: FINALLY write a script to generate charts for multiple models at the same time
2023-06-08 18:13:20 +01:00
fa37185950
plot_metrics: improve CLI
2023-06-08 15:20:32 +01:00
3be38823db
dlr: fix another crash
2023-05-19 22:00:23 +01:00
3e42972fb0
dlr: add comment
2023-05-11 17:45:52 +01:00
fe05dd33fc
dlr: missing quotes
2023-05-11 16:23:36 +01:00
5a73388a80
dlr: add RANDSEED to slurm
2023-05-11 16:02:13 +01:00
ae0c672f60
Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar
2023-05-11 15:59:08 +01:00
20092c6829
shuffle: add random seed env var
2023-05-11 15:59:01 +01:00
535bd6f579
dlr: fix crash
2023-05-07 19:00:02 +01:00
ac040717e6
autoset the value of factor
2023-05-04 19:57:02 +01:00
214afcc914
dlr: steps per execution is ugh
2023-05-04 19:54:51 +01:00
f0a2e7c450
dlr: print values of new env vars
2023-05-04 19:42:40 +01:00
8593999eb6
dlr: add JIT_COMPILE
2023-05-04 18:22:18 +01:00
dddc08c663
dlr: set steps_per_execution to 16 by default
2023-05-04 18:13:08 +01:00
e2e6a56b40
dlr: add UPSAMPLE env var
...
...AND actually add the functionality this time!
2023-05-04 17:40:16 +01:00
31687da931
celldice: actually do log(cosh())
...
....just wow.
2023-05-03 15:00:10 +01:00
4a4df380e3
if name == main
2023-03-23 18:09:52 +00:00
81cad8e6b4
newline
2023-03-23 18:01:21 +00:00