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I guess the speedup is only aplicable to pytorch inference, right ?
If if then convert it to onnx then to tensorRT, there won't be any speedup compared to convert a model containing classic cat + conv layers ?
I guess the speedup is only aplicable to pytorch inference, right ?
If if then convert it to onnx then to tensorRT, there won't be any speedup compared to convert a model containing classic cat + conv layers ?