[GitHub] kirk86 edited a comment on issue #4696: run errors

[GitBox <gi...@apache.org>]

kirk86 edited a comment on issue #4696: run errors
URL: https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-455904378
 
 
   @hetong007 I haven't installed GluonCV, only `mxnet-cu90`:
   ```
   pip list
   Package    Version   
   ---------- ----------
   certifi    2018.11.29
   chardet    3.0.4     
   graphviz   0.8.4     
   idna       2.6       
   mxnet-cu90 1.3.1     
   numpy      1.14.6    
   pip        18.1      
   requests   2.21.0    
   setuptools 40.6.3    
   urllib3    1.22      
   wheel      0.32.3    
   ```
   This is the command I execute to train resnet on imagenet:
   ```
   python ./incubator-mxnet/example/image-classification/train_imagenet.py --network resnet --num-layers 152 --data-train ./train_rec/train_imgnet_list_1.rec --data-val ./val_rec/val_imgnet_lst.rec --gpus 0,1,2,3 --batch-size 128 --model ./model/resnet152 --num-epochs 100 --kv-store device
   ```
   I didn't open this issue on GluonCV because I'm not sure if it's 100% related with GluonCV.
   
   Also please notice the `--data-train` and `--data-valid` have to point to the `.rec` files otherwise it doesn't work which is contrary to example given [here](https://mxnet.incubator.apache.org/versions/master/tutorials/vision/large_scale_classification.html) which points only to the directory where the `*.rec` files live. Also multiple `*.rec` files don't work they have to be combined into one `.rec` file.

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