43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# ******************************************************************************
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# Copyright 2018-2021 Intel Corporation
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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 numpy as np
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import onnx
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from onnx.mapping import NP_TYPE_TO_TENSOR_TYPE
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from openvino.inference_engine import IECore
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import ngraph as ng
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from ngraph.impl import Function
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def np_dtype_to_tensor_type(data_type: np.dtype) -> int:
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"""Return TensorProto type for provided numpy dtype.
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:param data_type: Numpy data type object.
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:return: TensorProto.DataType enum value for corresponding type.
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"""
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return NP_TYPE_TO_TENSOR_TYPE[data_type]
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def import_onnx_model(model: onnx.ModelProto) -> Function:
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onnx.checker.check_model(model)
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model_byte_string = model.SerializeToString()
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ie = IECore()
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ie_network = ie.read_network(model=model_byte_string, weights=b"", init_from_buffer=True)
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ng_function = ng.function_from_cnn(ie_network)
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return ng_function
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