kaisark opened a new issue #8016: mxnet installation GPU validation issue/error
URL: https://github.com/apache/incubator-mxnet/issues/8016
 
 
   Hi. I ran into an mxnet installation GPU validation issue on the Nvidia TX1 
(Ubuntu 16.04). I built mxnet from source according to the Device Jetson TX2 
GPU directions at:
   
[https://mxnet.incubator.apache.org/get_started/install.html#validate-mxnet-installation](url)
   
   The CPU validation code works just fine, but the GPU errors (see attached 
log file):
   
   >>> import mxnet as mx
   >>> a = mx.nd.ones((2, 3), mx.gpu())
   >>> b = a * 2 + 1
   >>> b.asnumpy()
   array([[ 3.,  3.,  3.],
          [ 3.,  3.,  3.]], dtype=float32)
   
   
   For bugs or installation issues, please provide the following information.
   The more information you provide, the more likely people will be able to 
help you.
   
   ## Environment info
   Operating System:
   Ubuntu 16.04
   
   Compiler:
   g++ (Ubuntu/Linaro 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609
   
   Package used (Python/R/Scala/Julia):
   
   MXNet version:
   mxnet===0.11.1
   
   Or if installed from source:
   git clone https://github.com/dmlc/mxnet.git --recursive
   
   MXNet commit hash (`git rev-parse HEAD`):
   ebf1bf9d3a6cef335a5b2c2a37175e9e91f5b546
   
   If you are using python package, please provide
   pip (9.0.1)
   
   Python version and distribution:
   Python 2.7.12 (default, Nov 19 2016, 06:48:10) 
   
   If you are using R package, please provide
   
   R `sessionInfo()`:
   
   ## Error Message:
   Please paste the full error message, including stack trace.
   >>> [19:27:21] /home/nvidia/mxnet/dmlc-core/include/dmlc/./logging.h:308: 
[19:27:21] 
/home/nvidia/mxnet/mshadow/mshadow/././././cuda/tensor_gpu-inl.cuh:110: Check 
failed: err == cudaSuccess (8 vs. 0) Name: MapPlanKernel ErrStr:invalid device 
function
   (see attached log file)
   
   ## Minimum reproducible example
   if you are using your own code, please provide a short script that 
reproduces the error.
   >>> import mxnet as mx
   >>> a = mx.nd.ones((2, 3), mx.gpu())
   >>> b = a * 2 + 1
   >>> b.asnumpy()
   array([[ 3.,  3.,  3.],
          [ 3.,  3.,  3.]], dtype=float32
   
   ## Steps to reproduce
   or if you are running standard examples, please provide the commands you 
have run that lead to the error.
   
   1.
   2.
   3.
   
   ## What have you tried to solve it?
   
   1. reinstalled
   2.
   3.
   
   
[mxnet-out.log](https://github.com/apache/incubator-mxnet/files/1327872/mxnet-out.log)
   
 
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