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混合量化前输入时1x3x640x640.混合量化后,输入变为640x640x3x16了。
我只是混合量化在自定义处随意添加了一层进行float32不量化。
结果维度就异常了。但是使用官方那个pb模型又是可以的。使用yolov5和yolov8都是一样的现象。
The text was updated successfully, but these errors were encountered:
我的是batch变成100了,在step1 rknn.load的时候加入input_size_list=参数就正常了
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混合量化前输入时1x3x640x640.混合量化后,输入变为640x640x3x16了。
我只是混合量化在自定义处随意添加了一层进行float32不量化。
结果维度就异常了。但是使用官方那个pb模型又是可以的。使用yolov5和yolov8都是一样的现象。
The text was updated successfully, but these errors were encountered: