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prep for job

plotting-unify
Michael Pilosov, PhD 9 months ago
parent
commit
8ffdd67a51
  1. 2
      .gitignore
  2. 8
      newsearch.py

2
.gitignore

@ -1,3 +1,5 @@
lightning_logs*/
lightning_logs_dev/
lightning_logs/
__pycache__/
out/

8
newsearch.py

@ -8,7 +8,7 @@ from lightning_sdk import Machine, Studio # noqa: F401
# consistency of randomly sampled experiments.
seed(19920921)
NUM_JOBS = 1
NUM_JOBS = 5
# reference to the current studio
# if you run outside of Lightning, you can pass the Studio name
@ -33,12 +33,12 @@ depths = [1, 2, 4, 8, 16]
# widths, depths = [512], [4]
batch_size_values = [256]
max_epochs_values = [42] # at 12 fps, around 35s
max_epochs_values = [420] # at 12 fps, around 35s
seeds = list(range(21, 1992))
optimizers = [
# "Adagrad",
"Adam",
# "SGD",
"SGD",
# "AdamW",
# "LBFGS",
# "RAdam",
@ -70,7 +70,7 @@ for idx, params in enumerate(search_params):
a, lr, bs, me, s, w, d, opt = params
# cmd = f"cd ~/colors && python main.py --alpha {a} --lr {lr} --bs {bs} --max_epochs {me} --seed {s} --width {w}"
cmd = f"""
python newmain.py fit \
cd ~/colors && python newmain.py fit \
--seed_everything {s} \
--data.batch_size {bs} \
--data.train_size 0 \

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