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import subprocess
import sys
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from random import sample
import numpy as np
from lightning_sdk import Machine, Studio # noqa: F401
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NUM_JOBS = 100
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# reference to the current studio
# if you run outside of Lightning, you can pass the Studio name
studio = Studio()
# use the jobs plugin
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studio.install_plugin("jobs")
job_plugin = studio.installed_plugins["jobs"]
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# do a sweep over learning rates
# Define the ranges or sets of values for each hyperparameter
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alpha_values = list(np.round(np.linspace(0, 4, 41), 4))
# learning_rate_values = list(np.round(np.logspace(-5, -3, 41), 5))
learning_rate_values = [5e-4]
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batch_size_values = [64, 128]
max_epochs_values = [500]
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# Generate all possible combinations of hyperparameters
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all_params = [
(alpha, lr, bs, me)
for alpha in alpha_values
for lr in learning_rate_values
for bs in batch_size_values
for me in max_epochs_values
]
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# perform random search with a limit
search_params = sample(all_params, min(NUM_JOBS, len(all_params)))
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for idx, params in enumerate(search_params):
a, lr, bs, me = params
cmd = f"cd ~/colors && python main.py --alpha {a} --lr {lr} --bs {bs} --max_epochs {me}"
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# job_name = f"color2_{bs}_{a}_{lr:2.2e}"
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# job_plugin.run(cmd, machine=Machine.T4, name=job_name)
print(f"Running {params}: {cmd}")
try:
# Run the command and wait for it to complete
subprocess.run(cmd, shell=True, check=True)
except KeyboardInterrupt:
print("Interrupted by user")
sys.exit(1)