forward error of mxnet-cu100 with version 1.4.1

[yiwuyao3863]

When I run the CNN model (resnet50) on GPU with mxnet-cu100, the error occurs as below:

Traceback (most recent call last):
File "test_score.py", line 84, in
test_imagenet1k(model=args.model, task_mode=args.task_mode, **kwargs)
File "test_score.py", line 39, in test_imagenet1k
score(model=m, rgb_mean=mean, rgb_std=std, scale=s, num_layer=nl, label_name=l, **kwargs)
File "/app/score.py", line 225, in score
predicts = mod.get_outputs()[0].asnumpy()
File "/usr/local/lib/python2.7/dist-packages/mxnet/ndarray/ndarray.py", line 1980, in asnumpy
ctypes.c_size_t(data.size)))
File "/usr/local/lib/python2.7/dist-packages/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [03:20:41] src/operator/nn/./cudnn/cudnn_convolution-inl.h:159: Check failed: e == CUDNN_STATUS_SUCCESS (7 vs. 0) cuDNN: CUDNN_STATUS_MAPPING_ERROR

Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x4114ba) [0x7f5c93d054ba]
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x411ad1) [0x7f5c93d05ad1]
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x3765922) [0x7f5c97059922]
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x3795cd9) [0x7f5c97089cd9]
[bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2ceb179) [0x7f5c965df179]
[bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2cf1ec6) [0x7f5c965e5ec6]
[bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2cd01c4) [0x7f5c965c41c4]
[bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2cd44b3) [0x7f5c965c84b3]
[bt] (8) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2cd4706) [0x7f5c965c8706]
[bt] (9) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2cd08f4) [0x7f5c965c48f4]

The setting of environment are:
CUDA10.0
cuDNN7.5 or cuDNN7.6
mxnet-cu100 1.4.1
GPU driver 410.93
2080ti

[mxnet-label-bot]

Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so that the appropriate MXNet community members can help resolve it.
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[keerthanvasist]

@mxnet-label-bot add [question]

[mibrahimy]

How did you solve this? Or bypass?