58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import re
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from argparse import Namespace
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from mo.utils.error import Error
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from mo.utils.utils import refer_to_faq_msg
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def deduce_framework_by_namespace(argv: Namespace):
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if not argv.framework:
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if getattr(argv, 'saved_model_dir', None) or getattr(argv, 'input_meta_graph', None):
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argv.framework = 'tf'
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elif getattr(argv, 'input_symbol', None) or getattr(argv, 'pretrained_model_name', None):
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argv.framework = 'mxnet'
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elif getattr(argv, 'input_proto', None):
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argv.framework = 'caffe'
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elif argv.input_model is None:
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raise Error('Path to input model is required: use --input_model.')
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else:
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argv.framework = guess_framework_by_ext(argv.input_model)
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if not argv.framework:
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raise Error('Framework name can not be deduced from the given options: {}={}. Use --framework to choose '
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'one of caffe, tf, mxnet, kaldi, onnx', '--input_model', argv.input_model, refer_to_faq_msg(15))
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return map(lambda x: argv.framework == x, ['tf', 'caffe', 'mxnet', 'kaldi', 'onnx'])
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def guess_framework_by_ext(input_model_path: str) -> int:
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if re.match('^.*\.caffemodel$', input_model_path):
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return 'caffe'
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elif re.match('^.*\.pb$', input_model_path):
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return 'tf'
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elif re.match('^.*\.pbtxt$', input_model_path):
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return 'tf'
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elif re.match('^.*\.params$', input_model_path):
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return 'mxnet'
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elif re.match('^.*\.nnet$', input_model_path):
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return 'kaldi'
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elif re.match('^.*\.mdl', input_model_path):
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return 'kaldi'
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elif re.match('^.*\.onnx$', input_model_path):
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return 'onnx'
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