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在推理阶段, 图片预处理Normalize占用了大量CPU资源, tensorrt跑推理速度只有使用timing_inference_latency预计的0.5倍. 在网络内有BN的情况下, 可以省略预处理的Normalize. 即在训练时和推理时同时去掉Normalize. 肉眼看性能明显提升, 准召差别不大
The text was updated successfully, but these errors were encountered:
@linxiaochunsd 如果是部署的话,可以把normalize写到onnx里面去,这样就可以让GPU来做这个操作。
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在推理阶段, 图片预处理Normalize占用了大量CPU资源, tensorrt跑推理速度只有使用timing_inference_latency预计的0.5倍.
在网络内有BN的情况下, 可以省略预处理的Normalize. 即在训练时和推理时同时去掉Normalize. 肉眼看性能明显提升, 准召差别不大
The text was updated successfully, but these errors were encountered: