time_id = datetime.now().strftime("%b-%d_%H:%M:%S")
base_folder = '_'.join([exp_name, time_id])
message = 'Executor: Aneeshan Sain\nDirectory: Stroke_correspondence/SBIR_QD \nDescription: Seeing basic Retrieval results for SBIR on QuickDraw-14 '
args = ['try2']
for i_exp, arg in enumerate(args):
tag = '14_classes'
save_dir = f'./condor_output/{base_folder}'
j = Job(
python_compiler,
run_file,
stream_output=True,
can_checkpoint=True,
approx_runtime=8, # in hours
artifact_dir=save_dir,
arguments=dict(base_dir=os.getcwd(),
saved_models=os.path.join(os.getcwd(), save_dir),
disable_tqdm='',
batchsize=16,
max_epoch=100,
learning_rate=0.0001),
tag='_'.join([exp_name, tag]) + '_')
sess.submit(j, conf)
print(f'Job {i_exp + 1} {exp_name} {tag} submitted at {str(time_id)}.')
# Report the job submission
# message += f'\n\nExperiment {i_exp + 1} :\n' + '\n'.join([f'{item[0]} -- {item[1]}' for item in arg.items()])
print(message)
# send_email('*****@*****.**', message)
