1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253 |
- # coding=utf-8
- # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
- #
- # 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.
- """Main tasks functionality."""
- from megatron import get_args, print_rank_0
- from megatron.indexer import IndexBuilder
- from tasks.orqa.evaluate_utils import ORQAEvaluator
- def main():
- """
- Main program
- """
- args = get_args()
- """
- Create a BlockData data structure by running an IndexBuilder over an
- ICT Dataset and then evaluate on NQ task
- """
- print_rank_0("Starting index builder!")
- index_builder = IndexBuilder()
- index_builder.build_and_save_index()
- print_rank_0("Build and save indices: done!")
- print_rank_0("Starting evaluations!")
- # Set up the model and evaluator
- evaluator = ORQAEvaluator()
- # Run evaluation
- if args.qa_data_dev is not None:
- evaluator.evaluate(args.qa_data_dev, "DEV")
- if args.qa_data_test is not None:
- evaluator.evaluate(args.qa_data_test, "TEST")
|