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# 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")
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