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update-transfer #9

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e76a9dd
update-transfer
hy395 Dec 17, 2024
117efb1
remove job id
hy395 Dec 20, 2024
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27 changes: 22 additions & 5 deletions src/westminster/scripts/westminster_train_folds.py
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Original file line number Diff line number Diff line change
Expand Up @@ -162,6 +162,18 @@ def main():
action="store_true",
help="Force all crosses to use the same validation fold [Default: %default]",
)
rep_options.add_option(
'--mem',
dest='memory',
default=30000,
help='SLURM memory on which to run the jobs [Default: %default]')
rep_options.add_option(
'--transfer',
dest='transfer',
default=False,
action='store_true',
help="Enable transfer learning instead of training from scratch. Requires --trunk pointing to the model_trunk.h5",
)
parser.add_option_group(rep_options)

(options, args) = parser.parse_args()
Expand Down Expand Up @@ -235,7 +247,12 @@ def main():
# train

jobs = []


if options.transfer:
train_cmd = 'hound_transfer.py'
else:
train_cmd = 'hound_train.py'

for ci in range(options.crosses):
for fi in fold_index:
rep_dir = "%s/f%dc%d" % (options.out_dir, fi, ci)
Expand All @@ -255,14 +272,14 @@ def main():
cmd += "conda activate %s;" % options.conda_env
cmd += " echo $HOSTNAME;"

cmd += " hound_train.py"
cmd += " %s" % train_cmd
cmd += " %s" % options_string(options, train_options, rep_dir)
cmd += " %s %s" % (params_file, " ".join(rep_data_dirs))

name = "%s-train-f%dc%d" % (options.name, fi, ci)
sbf = os.path.abspath("%s/train.sb" % rep_dir)
outf = os.path.abspath("%s/train.out" % rep_dir)
errf = os.path.abspath("%s/train.err" % rep_dir)
outf = os.path.abspath("%s/train.%%j.out" % rep_dir)

@davek44 davek44 Dec 19, 2024

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This would break a lot of my model analysis code. Do we need it? I've never had multiple training logs in the same directory. If I want a new training run, I make a new directory.

@hy395 hy395 Dec 20, 2024

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i changed this back!

errf = os.path.abspath("%s/train.%%j.err" % rep_dir)

j = slurm.Job(
cmd,
Expand All @@ -273,7 +290,7 @@ def main():
queue=options.queue,
cpu=4,
gpu=params_train.get("num_gpu", 1),
mem=30000,
mem=options.memory,
time="60-0:0:0",
)
jobs.append(j)
Expand Down