def main():
ensure_pythonhashseed_set()
if len(sys.argv) != 2:
print('USAGE: server.py [config_file]')
sys.exit(-1)
config_file = sys.argv[1]
serve(config_file)
def main():
ensure_pythonhashseed_set()
if len(sys.argv) != 3:
print('USAGE: server.py [port] [config_file]')
print('RECEIVED: ' + ' '.join(sys.argv))
sys.exit(-1)
port = int(sys.argv[1])
config_file = sys.argv[2]
serve(port, config_file)
def main():
ensure_pythonhashseed_set()
if len(sys.argv) != 3:
print('USAGE: neighbor_search_api.py [port] [config_file]')
print('RECEIVED: ' + ' '.join(sys.argv))
sys.exit(-1)
port = int(sys.argv[1])
config_file = sys.argv[2]
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
level=logging.INFO)
serve(port, config_file)
model_type = get_choice(params, 'model_class', concrete_models.keys())
model_class = concrete_models[model_type]
model = model_class(params)
if model.can_train():
logger.info("Training model")
model.train()
else:
logger.info(
"Not enough training inputs. Assuming you wanted to load a model instead."
)
# TODO(matt): figure out a way to specify which epoch you want to load a model from.
model.load_model()
def replace_none(dictionary):
for key in dictionary.keys():
if dictionary[key] == "None":
dictionary[key] = None
elif isinstance(dictionary[key], pyhocon.config_tree.ConfigTree):
dictionary[key] = replace_none(dictionary[key])
return dictionary
if __name__ == "__main__":
ensure_pythonhashseed_set()
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
level=logging.INFO)
main()
def test_pythonhashseed():
ensure_pythonhashseed_set()
