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ssd_optim.submit_file
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ssd_optim.submit_file
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#---------------------------------------------
# Name your batch so it's easy to distinguish in the q.
JobBatchName = "PBN SSD Eval HPO"
# ---------------------------------------------------
# Universe (vanilla, docker)
universe = docker
docker_image = registry.eps.surrey.ac.uk/pbn-rl
# -------------------------------------------------
# Event, out and error logs
log = logs/$(env_name).r$(resets).i$(iters).log
output = outs/$(env_name).r$(resets).i$(iters).out
error = logs/error/$(env_name).r$(resets).i$(iters).error
# -----------------------------------
# File Transfer, Input, Output
# should_transfer_files = YES
environment = "mount=$ENV(PWD)"
requirements = (HasStornext)
# --------------------------------------
# Resources
request_CPUs = 1
request_memory = 2G
#This job will complete in less than 1 hour
+JobRunTime = 1
#This job can checkpoint
+CanCheckpoint = false
# --------------------------------------------
# Executable
executable = /usr/local/bin/python3
# -----------------------------------
# Queue commands. We can use variables and flags to launch our command with multiple options (as you would from the command line)
arguments = $(script) --resets $(resets) --iters $(iters) --bit-flip-prob $(bit_flip_prob) --env $(env)
script = $ENV(PWD)/ssd_param_optim.py
env_name = Bittner-70-v0
env = gym-PBN/$(env_name)
bit_flip_prob = 0.01
# Make the checkpoint location depend on the variables we use to run the model
resets = 10
queue 1 iters in 120000 510000 1200000
resets = 100
queue 1 iters in 120000 510000 1200000
resets = 300
queue 1 iters in 120000 510000 1200000