stu1130 opened a new issue #18834:
URL: https://github.com/apache/incubator-mxnet/issues/18834
## Step to reproduce
* build mxnet-cu101 from source based off mxnet 1.7.0 branch
* gluoncv 0.7
```
from gluoncv import model_zoo, data, utils
from matplotlib import pyplot as plt
import mxnet as mx
from mxnet import gluon
net = model_zoo.get_model('yolo3_darknet53_coco', pretrained=True,
ctx=mx.gpu())
net.hybridize()
x = mx.nd.random.uniform(shape=(1, 3, 1000, 1000), ctx=mx.gpu())
_, scores, _ = net(x)
print(scores.shape)
net.export("yolo")
deserialized_net = gluon.nn.SymbolBlock.imports("yolo-symbol.json",
['data'], "yolo-0000.params", ctx=mx.gpu())
image = mx.nd.random.normal(shape=(1, 3, 1000, 1000), ctx=mx.gpu())
print(deserialized_net(image))
```
```
CUDA: Check failed: e == cudaSuccess: an illegal memory access was
encountered
[21:53:46] src/resource.cc:279: Ignore CUDA Error [21:53:46]
src/storage/./pooled_storage_manager.h:97: CUDA: an illegal memory access was
encountered
[21:53:46] src/resource.cc:331: Ignore CUDA Error [21:53:46]
src/common/random_generator.cu:70: Check failed: e == cudaSuccess || e ==
cudaErrorCudartUnloading: CUDA: an illegal memory access was encountered
```
It works fine when I use mxnet-cu101 1.6 pip wheel
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