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Add `output_names` argument for ONNX export with dynamic axes (#3456) 

* Add output names & dynamic axes for onnx export

Add output_names and dynamic_axes names for all outputs in torch.onnx.export. The first four outputs of the model will have names output0, output1, output2, output3

* use first output only + cleanup

Co-authored-by: Samridha Shrestha <samridha.shrestha@g42.ai>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
pull/3423/head^2
Sam_S 2021-06-05 00:01:58 +04:00 committed by GitHub
parent 317f2ccc9d
commit 044daafd9d
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1 changed files with 6 additions and 3 deletions
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models/export.py
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@ -96,11 +96,14 @@ if __name__ == '__main__':
print(f'{prefix} starting export with onnx {onnx.__version__}...')
f = opt.weights.replace('.pt', '.onnx') # filename
torch.onnx.export(model, img, f, verbose=False, opset_version=opt.opset_version, input_names=['images'],
torch.onnx.export(model, img, f, verbose=False, opset_version=opt.opset_version,
training=torch.onnx.TrainingMode.TRAINING if opt.train else torch.onnx.TrainingMode.EVAL,
do_constant_folding=not opt.train,
dynamic_axes={'images': {0: 'batch', 2: 'height', 3: 'width'}, # size(1,3,640,640)
'output': {0: 'batch', 2: 'y', 3: 'x'}} if opt.dynamic else None)
input_names=['images'],
output_names=['output'],
dynamic_axes={'images': {0: 'batch', 2: 'height', 3: 'width'}, # shape(1,3,640,640)
'output': {0: 'batch', 1: 'anchors'} # shape(1,25200,85)
} if opt.dynamic else None)
# Checks
model_onnx = onnx.load(f) # load onnx model