[GitHub] fhieber edited a comment on issue #8532: mxnet-mkl (v0.12.0) crash when using (conda-installed) numpy with MKL

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

fhieber edited a comment on issue #8532: mxnet-mkl (v0.12.0) crash when using (conda-installed) numpy with MKL
URL: https://github.com/apache/incubator-mxnet/issues/8532#issuecomment-425473905
 
 
   Thanks @pengzhao-intel, here is a minimal example to reproduce the issue.
   You can run this:
   ```
   conda install mkl
   conda install numpy
   pip install mxnet-mkl
   git clone https://github.com/awslabs/sockeye.git
   cd sockeye
   python -m sockeye.train --num-layers 1 -s setup.py -t setup.py -vs setup.py -vt setup.py -o test_model --batch-size 5 --batch-type sentence --num-embed 8 --transformer-model-size 8 --overwrite-output --use-cpu --transformer-attention-heads 1 --checkpoint-frequency 100 --decode-and-evaluate 2
   ```
   (this will train a tiny model on the setup.py file, but will hang once reached 100 updates and spawns a CheckpointDecoder subprocess to decode 2 sentences of the validation data.
   This will hang with the last log line being:
   ```
   [INFO:sockeye.training] Starting process: Decoder-1
   ```
   
   If you set `--decode-and-evaluate 0`, no decoder subprocess will be started at each checkpoint, and training runs fine.
   
   If you run
   ```
   conda uninstall mkl
   conda uninstall numpy
   pip install numpy
   ```
   and run the same training with `--decode-and-evaluate > 0`, no hanging will occur.

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