updated args

docs/source/examples/fully_featured_trainer.py

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