# Copyright 2022 Cerebras Systems.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
from cerebras.modelzoo.common.registry import registry
[docs]def main():
# Create ArgumentParser object
parser = argparse.ArgumentParser(
description='Registry for Cerebras Modelzoo'
)
# Add arguments
parser.add_argument(
'--list_models',
action='store_true',
help='List models supported in Cerebras Modelzoo',
)
parser.add_argument(
'--list_losses',
action='store_true',
help='List Losses supported in Cerebras Modelzoo',
)
parser.add_argument(
'--list_datasetprocessor',
action='store_true',
help='List dataset processor supported in Cerebras Modelzoo',
)
parser.add_argument(
'--model',
type=str,
help='List Model speicfic information from Cerebras modelzoo',
)
# Parse the command-line arguments
args = parser.parse_args()
if args.list_models:
print(registry.list_models())
if args.list_losses:
print(registry.list_loss())
if args.list_datasetprocessor:
print(registry.list_datasetprocessor())
if args.model is not None:
print("Model: {}".format(args.model))
print("\tclass: {}".format(registry.get_model_class(args.model)))
print(
"\tdataset processor: {}".format(
registry.list_datasetprocessor(args.model)
)
)
print("\tRun Path: {}".format(registry.get_run_path(args.model)))
if __name__ == "__main__":
main()