Allow multiple config files when cloud training.

luminoth/tools/cloud/gcloud.py

@@ -133,15 +133,15 @@ def cloud_service(credentials, service, version='v1'):
 @click.option('--bucket', 'bucket_name', help='Where to save models and logs.')  # noqa
 @click.option('--region', default='us-central1', help='Region in which to run the job.')  # noqa
 @click.option('--dataset', required=True, help='Bucket where the dataset is located.')  # noqa
-@click.option('--config', help='Path to config to use in training.')
+@click.option('config_files', '--config', '-c', multiple=True, required=True, help='Path to config to use in training.')  # noqa
 @click.option('--scale-tier', default=DEFAULT_SCALE_TIER, type=click.Choice(SCALE_TIERS))  # noqa
 @click.option('--master-type', default=DEFAULT_MASTER_TYPE, type=click.Choice(MACHINE_TYPES))  # noqa
 @click.option('--worker-type', default=DEFAULT_WORKER_TYPE, type=click.Choice(MACHINE_TYPES))  # noqa
 @click.option('--worker-count', default=DEFAULT_WORKER_COUNT, type=int)
 @click.option('--parameter-server-type', default=DEFAULT_PS_TYPE, type=click.Choice(MACHINE_TYPES))  # noqa
 @click.option('--parameter-server-count', default=DEFAULT_PS_COUNT, type=int)
-def train(job_id, service_account_json, bucket_name, region, config, dataset,
-          scale_tier, master_type, worker_type, worker_count,
+def train(job_id, service_account_json, bucket_name, region, config_files,
+          dataset, scale_tier, master_type, worker_type, worker_count,
           parameter_server_type, parameter_server_count):
 
     args = []
@@ -195,7 +195,7 @@ def train(job_id, service_account_json, bucket_name, region, config, dataset,
         '--override', 'dataset.data_augmentation=false'
     ])
 
-    if config:
+    for config in config_files:
         # Upload config file to be used by the training job.
         path = upload_file(bucket, base_path, config)
         args.extend(['--config', 'gs://{}/{}'.format(bucket_name, path)])