HuichuanLiu commented on issue #11149: Unreasonable performance of resnext 
models provided in model_zoo, evaluated by score.py
URL: 
https://github.com/apache/incubator-mxnet/issues/11149#issuecomment-395643218
 
 
   @lanking520 Right, I've tried mxnet-cu80 1.2.0(but from pip) and the result:
   ```
   [11:52:32] src/io/iter_image_recordio_2.cc:170: ImageRecordIOParser2: 
/data3/liuhuichuan/Data/imagenet/imagenet1k-val.rec, use 4 threads for 
decoding..
   [11:52:38] src/nnvm/legacy_json_util.cc:190: Loading symbol saved by 
previous version v0.8.0. Attempting to upgrade...
   [11:52:38] src/nnvm/legacy_json_util.cc:198: Symbol successfully upgraded!
   [11:52:41] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running 
performance tests to find the best convolution algorithm, this can take a 
while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   INFO:root:Finished with 270.369418 images per second
   INFO:root:('accuracy', 7.9923273657289009e-05)
   INFO:root:('top_k_accuracy_5', 0.0022778132992327367)
   ```
   
   2. Will try to build from source later but it could take some time, like 2 
days.
   
   3. OS info : Ubuntu 16.04.2 LTS (GNU/Linux 4.4.0-62-generic x86_64)
   
   Thanks for your help:-)

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