bd5b1bf99f
* Adds two switches `use_new_frontend` and `use_legacy_frontend` to override defaults. * Rename ONNX frontend from `onnx_experimental` to `onnx`
46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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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(r'^.*\.caffemodel$', input_model_path):
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return 'caffe'
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elif re.match(r'^.*\.pb$', input_model_path):
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return 'tf'
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elif re.match(r'^.*\.pbtxt$', input_model_path):
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return 'tf'
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elif re.match(r'^.*\.params$', input_model_path):
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return 'mxnet'
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elif re.match(r'^.*\.nnet$', input_model_path):
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return 'kaldi'
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elif re.match(r'^.*\.mdl', input_model_path):
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return 'kaldi'
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elif re.match(r'^.*\.onnx$', input_model_path):
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return 'onnx'
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