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Running
on
Zero
Running
on
Zero
File size: 2,368 Bytes
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from main import *
def default_run():
# Setup the workspace (eg. load the config, create a directory for results at config.save_dir, etc.)
config_location = "configs/main.yaml"
config = workspace.load_config(config_location, None)
if os.getenv("LOCAL_RANK", '0') == '0':
config = workspace.create_workspace(config)
# Run the experiment
run_experiment(config)
def with_mast3r_loss():
# Setup the workspace (eg. load the config, create a directory for results at config.save_dir, etc.)
config_location = "configs/with_mast3r_loss.yaml"
config = workspace.load_config(config_location, None)
if os.getenv("LOCAL_RANK", '0') == '0':
config = workspace.create_workspace(config)
# Run the experiment
run_experiment(config)
def without_masking():
# Setup the workspace (eg. load the config, create a directory for results at config.save_dir, etc.)
config_location = "configs/without_masking.yaml"
config = workspace.load_config(config_location, None)
if os.getenv("LOCAL_RANK", '0') == '0':
config = workspace.create_workspace(config)
# Run the experiment
run_experiment(config)
def without_lpips_loss():
# Setup the workspace (eg. load the config, create a directory for results at config.save_dir, etc.)
config_location = "configs/without_lpips_loss.yaml"
config = workspace.load_config(config_location, None)
if os.getenv("LOCAL_RANK", '0') == '0':
config = workspace.create_workspace(config)
# Run the experiment
run_experiment(config)
def without_offset():
# Setup the workspace (eg. load the config, create a directory for results at config.save_dir, etc.)
config_location = "configs/without_offset.yaml"
config = workspace.load_config(config_location, None)
if os.getenv("LOCAL_RANK", '0') == '0':
config = workspace.create_workspace(config)
# Run the experiment
run_experiment(config)
if __name__ == "__main__":
# Somewhat hacky way to fetch the function corresponding to the ablation we want to run
ablation_name = sys.argv[1]
ablation_function = locals().get(ablation_name)
# Run the ablation if it exists
if ablation_function:
ablation_function()
else:
raise NotImplementedError(
f"Ablation name '{sys.argv[1]}' not recognised")
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