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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