IR Version: v6
Producer: pytorch 1.11.0
Domain:
Imports:
ai.onnx v11
Conv_0: Conv-11 (ai.onnx)
Inputs:
input.1: float32[1 x 3 x 352 x 352] = [...]
onnx::Conv_760: float32[24 x 3 x 3 x 3] = [...]
onnx::Conv_761: float32[24] = [...]
Outputs:
input.4: float32[1 x 24 x 176 x 176] = [...]

...

Concat_264: Concat-11 (ai.onnx)
Inputs:
onnx::Concat_744: float32[1 x 1 x 22 x 22] = [...]
onnx::Concat_960: float32[1 x 4 x 22 x 22] = [...]
onnx::Concat_757: float32[1 x 80 x 22 x 22] = [...]
Outputs:
758: float32[1 x 85 x 22 x 22] = [...]
110592
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Gather-11 (ai.onnx)
Unsupported opset => Resize-11 (ai.onnx)
Unsupported opset => Pad-11 (ai.onnx)

Issue:
Using https://github.com/dog-qiuqiu/FastestDet Fastest yolo, unsupported opset. Onnx model in /FastestDet/example/onnx-runtime.

算子不支持，在yolotiny测试中没问题，采用另一种轻量级模型出现该问题，想问下老哥是算子实现的问题还是别的。