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PaddleSpeech/deepspeech/exps/deepspeech2/bin/test_export.py

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# Copyright (c) 2021 PaddlePaddle Authors. 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.
"""Evaluation for DeepSpeech2 model."""
from deepspeech.exps.deepspeech2.config import get_cfg_defaults
from deepspeech.exps.deepspeech2.model import DeepSpeech2ExportTester as ExportTester
from deepspeech.training.cli import default_argument_parser
from deepspeech.utils.utility import print_arguments
def main_sp(config, args):
exp = ExportTester(config, args)
with exp.eval():
exp.setup()
exp.run_test()
def main(config, args):
main_sp(config, args)
if __name__ == "__main__":
parser = default_argument_parser()
# save asr result to
parser.add_argument(
"--result_file", type=str, help="path of save the asr result")
#load jit model from
parser.add_argument(
"--export_path", type=str, help="path of the jit model to save")
parser.add_argument(
"--model_type", type=str, default='offline', help='offline/online')
args = parser.parse_args()
print_arguments(args, globals())
print("model_type:{}".format(args.model_type))
# https://yaml.org/type/float.html
config = get_cfg_defaults(args.model_type)
if args.config:
config.merge_from_file(args.config)
if args.opts:
config.merge_from_list(args.opts)
config.freeze()
print(config)
if args.dump_config:
with open(args.dump_config, 'w') as f:
print(config, file=f)
main(config, args)