kaisark commented on issue #6846: Check failed: err == cudaSuccess (8 vs. 0) Name: MapPlanKernel ErrStr:invalid device function URL: https://github.com/apache/incubator-mxnet/issues/6846#issuecomment-337768151 I was able to build mxnet on my TX1 with gpu today. I did add 53 in the Makefile for thoroughness. https://mxnet.incubator.apache.org/get_started/install.html Devices -> Nvidia Jetson TX2 Linux -> Python -> GPU -> Build from Source nvidia@tegra-ubuntu:~/mxnet/python$ uname -a Linux tegra-ubuntu 4.4.38-jetsonbot-doc-v0.3 #1 SMP PREEMPT Thu Oct 5 15:58:24 EDT 2017 aarch64 aarch64 aarch64 GNU/Linux nvidia@tegra-ubuntu:~/mxnet/python$ make USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 nvidia@tegra-ubuntu:~/mxnet/python$ pip list -e mxnet (0.11.1, /home/nvidia/mxnet/python) nvidia@tegra-ubuntu:~/mxnet/python$ python Python 2.7.12 (default, Nov 19 2016, 06:48:10) [GCC 5.4.0 20160609] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> 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) >>>
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