Comments (6)
pytorch1.6.0在不使用leakyReLU和SiLU是可以export的
把他替换为relu就行了
from yolov5_tensorrt_int8_tools.
pytorch1.6.0在不使用leakyReLU和SiLU是可以export的
把他替换为relu就行了
所以你实际使用时是relu替换了两个激活函数(leakyReLU和SiLU)。
from yolov5_tensorrt_int8_tools.
pytorch1.6.0在不使用leakyReLU和SiLU是可以export的
把他替换为relu就行了
所以你实际使用时是relu替换了两个激活函数(leakyReLU和SiLU)。
我测试了有无SiLU时,模型精度的变化,最终决定保留,只替换了leakyReLU
from yolov5_tensorrt_int8_tools.
pytorch1.6.0在不使用leakyReLU和SiLU是可以export的
把他替换为relu就行了
所以你实际使用时是relu替换了两个激活函数(leakyReLU和SiLU)。
我测试了有无SiLU时,模型精度的变化,最终决定保留,只替换了leakyReLU
原来是这样啊,回到这个问题,pytorch1.7.0不支持coremltools,但是SiLU又必须用到pytorch1.7.0,或许可以在pytorch里写一个SiLU?
from yolov5_tensorrt_int8_tools.
pytorch1.6.0在不使用leakyReLU和SiLU是可以export的
把他替换为relu就行了
所以你实际使用时是relu替换了两个激活函数(leakyReLU和SiLU)。
我测试了有无SiLU时,模型精度的变化,最终决定保留,只替换了leakyReLU
原来是这样啊,回到这个问题,pytorch1.7.0不支持coremltools,但是SiLU又必须用到pytorch1.7.0,或许可以在pytorch里写一个SiLU?
如果你一定要用,那也可以
from yolov5_tensorrt_int8_tools.
pytorch1.6.0在不使用leakyReLU和SiLU是可以export的
把他替换为relu就行了
所以你实际使用时是relu替换了两个激活函数(leakyReLU和SiLU)。
我测试了有无SiLU时,模型精度的变化,最终决定保留,只替换了leakyReLU
原来是这样啊,回到这个问题,pytorch1.7.0不支持coremltools,但是SiLU又必须用到pytorch1.7.0,或许可以在pytorch里写一个SiLU?
如果你一定要用,那也可以
今天仔细看了下,只是coremltool和pytorch1.7.1不适配,并不影响转onnx
from yolov5_tensorrt_int8_tools.
Related Issues (14)
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