Export .pt to .onnx with half precision failure.

[1chimaruGin]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

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Bug

Command used to export:
python export.py --weights yolov5s.pt --include openvino --half

Error

export: data=data/coco128.yaml, weights=['yolov5s.pt'], imgsz=[640, 640], batch_size=1, device=cpu, half=True, inplace=False, train=False, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=12, verbose=False, workspace=4, nms=False, agnostic_nms=False, topk_per_class=100, topk_all=100, iou_thres=0.45, conf_thres=0.25, include=['openvino']
YOLOv5 🚀 v6.1-287-g63ba0cb Python-3.9.12 torch-1.10.0 CPU

Fusing layers... 
YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients, 16.5 GFLOPs

PyTorch: starting from yolov5s.pt with output shape (1, 25200, 85) (14.1 MB)

ONNX: starting export with onnx 1.11.0...
ONNX: export failure: "unfolded2d_copy" not implemented for 'Half'

OpenVINO: starting export with openvino 2022.1.0-7019-cdb9bec7210-releases/2022/1...
[ ERROR ]  The "yolov5s.onnx" is not existing file or directory

OpenVINO: export failure: Command '['mo', '--input_model', 'yolov5s.onnx', '--output_dir', 'yolov5s_openvino_model/', '--data_type', 'FP16']' returned non-zero exit status 1.

Environment

OS: ubuntu 20.04
Python: 3.9
Pytorch: 1.10

Minimal Reproducible Example

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Additional

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Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

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[glenn-jocher]

@1chimaruGin --half exports usually require a GPU, i.e. --half --device 0:

!python export.py --weights yolov5s.pt --include openvino --half --device 0

But be aware that OpenVINO inference is only supported on CPU currently, and I'm not sure if --half inference will work there. Let me know what happens!