[GitHub] ginko3 commented on issue #14089: Load dataset directly to vRAM

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

ginko3 commented on issue #14089: Load dataset directly to vRAM
URL: https://github.com/apache/incubator-mxnet/issues/14089#issuecomment-461738709
 
 
   Sure,
   
   I create the `rec` file using `im2rec.py` with the command
   
   ```bash
   python im2rec.py dataset_train.lst dataset/ --pack-label --num-thread 8
   ```
   
   My Code looks like:
   ```python
   num_gpus = 8
   ctx = [mx.gpu(i) for i in range(num_gpus)]
   
   data_train = mx.io.ImageRecordIter(
       path_imgrec='dataset_train.rec',
       data_shape=(3, 256, 256),
       batch_size=16,
       label_width = 22,
       ctx=ctx
   )
   ```
   
   When I print a batch, it shows as written in context `mx.cpu_pinned(0)`. I would like to have it in `mx.gpu(x)`, or even split data with `gluon.utils.split_and_load()` directly.

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