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[ONNX] enable export of Shufflenet with dynamic axes #402

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Merged
merged 2 commits into from
Dec 16, 2020
Merged

[ONNX] enable export of Shufflenet with dynamic axes #402

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39329fb
enable export with dynamic axes
KsenijaS Dec 14, 2020
39a6b4e
Merge branch 'master' into shufflenet
wenbingl Dec 16, 2020
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12 changes: 9 additions & 3 deletions vision/classification/shufflenet/ShufflenetV2-export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
]
data_dir = 'test_data_set_0'

url, filename = ("https://github.com/pytorch/hub/raw/master/dog.jpg", "dog.jpg")
url, filename = ("https://github.com/pytorch/hub/raw/master/images/dog.jpg", "dog.jpg")
urllib.request.urlretrieve(url, filename)


Expand Down Expand Up @@ -135,7 +135,8 @@ def shufflenetv2_test():
model_dir, data_dir = save_model('shufflenetv2', model.cpu(), input_1, output_1,
opset_version=10,
input_names=['input'],
output_names=['output'])
output_names=['output'],
dynamic_axes={"input": {0: 'batch_size'}, "output": {0: 'batch_size'}})

# Test exported model with TensorProto data saved in files
inputs_flatten = flatten(input_1)
Expand All @@ -161,5 +162,10 @@ def shufflenetv2_test():

inference(model_dir, inputs, outputs)

# Test model with different input
input_2 = torch.randn(6, 3, 224, 224)
output_2 = model(input_2)
inference(model_dir, input_2, output_2)

shufflenetv2_test()

shufflenetv2_test()