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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/09/22 21:58:46 UTC

[GitHub] [incubator-mxnet] johnbroughton2017 opened a new issue #16239: train_imagenet.py fails with float16 + alexnet

johnbroughton2017 opened a new issue #16239: train_imagenet.py fails with float16 + alexnet 
URL: https://github.com/apache/incubator-mxnet/issues/16239
 
 
   ## Description
   I found the following error when training an alexnet using fp16. It is very easy reproduce using the command below. I have seen a few people reporting this bug yet I haven't been able to find a solution. If you replace alexnet with reset, it works fine. 
   
   ## Error Message:
   
   ```
   mxnet.base.MXNetError: [14:57:10] include/mxnet/././tensor_blob.h:236: Check failed: mshadow::DataType<DType>::kFlag == type_flag_: TBlob.get_with_shape: data type do not match specified type.Expected: 2 v.s. given 0
   Stack trace:
     [bt] (0) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x4a3b8b) [0x7f377f32ab8b]
     [bt] (1) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x304366d) [0x7f3781eca66d]
     [bt] (2) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x3553e98) [0x7f37823dae98]
     [bt] (3) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2675018) [0x7f37814fc018]
     [bt] (4) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x267abf5) [0x7f3781501bf5]
     [bt] (5) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x265a8a1) [0x7f37814e18a1]
     [bt] (6) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x265ddb0) [0x7f37814e4db0]
     [bt] (7) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x265e046) [0x7f37814e5046]
     [bt] (8) /home/xinghua/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2659004) [0x7f37814e0004]
   
   ```
   
   ## Minimum reproducible example
   ```
   python train_imagenet.py --network alexnet --benchmark 1 --gpus 0 --batch-size 64 --dtype float16
   ```

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