chinakook opened a new issue #19649:
URL: https://github.com/apache/incubator-mxnet/issues/19649
I built mxnet with cuda 11.1 by myself, but I found there are significant
difference between the result of RTX 2080Ti and the one of RTX 3090.
I have tested the results with resnet18_v1(modified to same with
torchvision), the results are following:
MXNet 2.0 on RTX 3090 result:
```
1.41843593e+00 -6.14944875e-01 -1.21827471e+00 1.47419822e+00
1.08697571e-01 -1.53987074e+00 -2.19901204e-01 9.48053539e-01
9.75863874e-01 1.70030773e+00 8.14817071e-01 -1.23302710e+00
1.59906292e+00 6.93061709e-01 -1.53004932e+00 -1.63886517e-01
-7.90785626e-02 2.69093782e-01 -6.79612219e-01 1.62834823e-01
1.30419743e+00 3.55334133e-01 3.44635278e-01 -1.63632333e+00
-1.83135128e+00 -2.71486902e+00 -1.90834343e+00 -1.56557214e+00
-2.34904575e+00 -8.75294745e-01 -1.45051964e-02 2.31601214e+00]]
```
MXNet 2.0 on RTX 2080Ti:
```
1.41812360e+00 -6.14904046e-01 -1.21819317e+00 1.47481441e+00
1.08835481e-01 -1.53912461e+00 -2.19649583e-01 9.48446751e-01
9.76122081e-01 1.70034432e+00 8.15561593e-01 -1.23293436e+00
1.59933698e+00 6.92907929e-01 -1.53025842e+00 -1.63300186e-01
-7.87981078e-02 2.69501388e-01 -6.79563940e-01 1.62799448e-01
1.30361092e+00 3.54955167e-01 3.44287097e-01 -1.63627052e+00
-1.83101940e+00 -2.71485949e+00 -1.90862203e+00 -1.56534243e+00
-2.34861779e+00 -8.75208437e-01 -1.46625079e-02 2.31575775e+00]]
```
MXNet 2.0 on CPU:
```
1.41812253e+00 -6.14904225e-01 -1.21819282e+00 1.47481489e+00
1.08835749e-01 -1.53912461e+00 -2.19649076e-01 9.48446691e-01
9.76122200e-01 1.70034420e+00 8.15561354e-01 -1.23293459e+00
1.59933639e+00 6.92908108e-01 -1.53025806e+00 -1.63299382e-01
-7.87984356e-02 2.69500166e-01 -6.79564059e-01 1.62798852e-01
1.30361056e+00 3.54956239e-01 3.44287276e-01 -1.63627028e+00
-1.83101881e+00 -2.71485925e+00 -1.90862203e+00 -1.56534243e+00
-2.34861803e+00 -8.75208795e-01 -1.46625564e-02 2.31575823e+00]]
```
Torch 1.7 on RTX 3090
```
1.41812313e+00 -6.14903867e-01 -1.21819305e+00 1.47481418e+00
1.08835526e-01 -1.53912425e+00 -2.19649911e-01 9.48446572e-01
9.76122499e-01 1.70034397e+00 8.15561354e-01 -1.23293447e+00
1.59933650e+00 6.92907453e-01 -1.53025746e+00 -1.63299173e-01
-7.87977725e-02 2.69501239e-01 -6.79563761e-01 1.62798911e-01
1.30361116e+00 3.54956120e-01 3.44288558e-01 -1.63627124e+00
-1.83101881e+00 -2.71485972e+00 -1.90862191e+00 -1.56534243e+00
-2.34861827e+00 -8.75208020e-01 -1.46627314e-02 2.31575871e+00]]
```
Torch 1.7 on RTX 2080Ti
```
1.41812313e+00 -6.14903808e-01 -1.21819329e+00 1.47481418e+00
1.08835645e-01 -1.53912401e+00 -2.19649911e-01 9.48446631e-01
9.76122320e-01 1.70034397e+00 8.15561354e-01 -1.23293436e+00
1.59933674e+00 6.92907691e-01 -1.53025758e+00 -1.63299263e-01
-7.87977204e-02 2.69501120e-01 -6.79563642e-01 1.62798882e-01
1.30361140e+00 3.54956120e-01 3.44288498e-01 -1.63627124e+00
-1.83101892e+00 -2.71485972e+00 -1.90862191e+00 -1.56534243e+00
-2.34861827e+00 -8.75208080e-01 -1.46627687e-02 2.31575847e+00]]
```
Torch 1.7 on CPU
```
1.41812289e+00 -6.14903927e-01 -1.21819293e+00 1.47481537e+00
1.08835876e-01 -1.53912544e+00 -2.19649374e-01 9.48445439e-01
9.76121962e-01 1.70034182e+00 8.15560222e-01 -1.23293531e+00
1.59933591e+00 6.92908287e-01 -1.53025782e+00 -1.63299412e-01
-7.87980631e-02 2.69500971e-01 -6.79563344e-01 1.62798971e-01
1.30361187e+00 3.54957968e-01 3.44287753e-01 -1.63626969e+00
-1.83101833e+00 -2.71485972e+00 -1.90862167e+00 -1.56534195e+00
-2.34861779e+00 -8.75208795e-01 -1.46625713e-02 2.31575823e+00]]
```
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