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ONNX ResNet example (intel-analytics#2939)
* add onnx resnet example * add doc for onnx * add doc for onnx * clean up
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# ONNX ResNet-50 Model Loading in BigDL | ||
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## Download model file | ||
* [Download model](https://s3.amazonaws.com/download.onnx/models/opset_9/resnet50.tar.gz) | ||
* Uncompress the file | ||
``` | ||
tar -zxvf resnet50.tar.gz | ||
. | ||
├── model.onnx | ||
├── test_data_set_0 | ||
├── test_data_set_1 | ||
└── .... | ||
``` | ||
## How to run this example: | ||
* Import library dependencies | ||
``` | ||
import numpy as np | ||
from bigdl.contrib.onnx import load | ||
``` | ||
* Set target ONNX ResNet-50 model path | ||
``` | ||
restnet_path = "uncompressed/file/path/model.onnx" | ||
``` | ||
* Load ONNX ResNet-50 model into BigDL | ||
``` | ||
restnet = load(restnet_path) | ||
``` | ||
* Create a sample tensor and pass it through loaded BigDL model | ||
``` | ||
restnet_tensor = np.random.random([10, 3, 224, 224]) | ||
restnet_out = restnet.forward(restnet_tensor) | ||
``` | ||
## Known issues: | ||
* ONNX feature only has Python API in BigDL. | ||
* Loaded ONNX model is limited for inference. | ||
* Most of operators defined in ONNX are not being supported by BigDL for now. | ||
* Missing feature of exporting BigDL model into ONNX format. | ||
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# | ||
# Copyright 2016 The BigDL Authors. | ||
# | ||
# 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. | ||
# |
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# | ||
# Copyright 2016 The BigDL Authors. | ||
# | ||
# 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. | ||
# | ||
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import numpy as np | ||
from bigdl.contrib.onnx import load | ||
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def load_onnx_resnet(): | ||
restnet_path = "./resnet-50.onnx" | ||
restnet_tensor = np.random.random([10, 3, 224, 224]) | ||
restnet = load(restnet_path) | ||
restnet_out = restnet.forward(restnet_tensor) | ||
return restnet_out | ||
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if __name__ == "__main__": | ||
load_onnx_resnet() |