updated args
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@ -174,6 +174,7 @@ if __name__ == '__main__':
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# RUN TRAINING
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# RUN TRAINING
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pdb.set_trace()
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pdb.set_trace()
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# cluster and CPU
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if hyperparams.on_cluster:
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if hyperparams.on_cluster:
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# run on HPC cluster
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# run on HPC cluster
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print('RUNNING ON SLURM CLUSTER')
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print('RUNNING ON SLURM CLUSTER')
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@ -186,16 +187,16 @@ if __name__ == '__main__':
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print('RUNNING ON CPU')
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print('RUNNING ON CPU')
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main(hyperparams, None, None)
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main(hyperparams, None, None)
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elif hyperparams.single_run_gpu:
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# single or multiple GPUs on same machine
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# run on 1 gpu
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gpu_ids = hyperparams.gpus.split(';')
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gpu_ids = hyperparams.gpus.split(';')
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if len(gpu_ids) == 1:
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# run on 1 gpu
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print(f'RUNNING 1 TRIAL ON GPU. gpu: {gpu_ids[0]}')
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print(f'RUNNING 1 TRIAL ON GPU. gpu: {gpu_ids[0]}')
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os.environ["CUDA_VISIBLE_DEVICES"] = gpu_ids[0]
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os.environ["CUDA_VISIBLE_DEVICES"] = gpu_ids[0]
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main(hyperparams, None, None)
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main(hyperparams, None, None)
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else:
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else:
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# multiple GPUs on same machine
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# multiple GPUs on same machine
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gpu_ids = hyperparams.gpus.split(';')
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print(f'RUNNING MULTI GPU. GPU ids: {gpu_ids}')
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print(f'RUNNING MULTI GPU. GPU ids: {gpu_ids}')
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hyperparams.optimize_parallel_gpu(
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hyperparams.optimize_parallel_gpu(
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main_local,
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main_local,
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