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-395647325 @lanking520 Right, I've tried it with mxnet-cu80 1.2.0 from pip: ``` [12:41:56] src/io/iter_image_recordio_2.cc:170: ImageRecordIOParser2: /data3/liuhuichuan/Data/imagenet/imagenet1k-val.rec, use 4 threads for decoding.. [12:42:01] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v0.9.4. Attempting to upgrade... [12:42:01] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded! [12:42:06] 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 160.141619 images per second INFO:root:('accuracy', 0.48345588235294118) INFO:root:('top_k_accuracy_5', 0.6939338235294118) ``` 2. Will build from source later, but it takes some time 3. Ubuntu 16.04.2 LTS (GNU/Linux 4.4.0-62-generic x86_64) Thanks for your help : )
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