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If you are using Anaconda or had multiple versions of Python on your system the test may fail once out of the build folder.You will want to update the Python bindings: Try virtualenv or Anaconda.You need to enable it by editing the repo config to turn it on.
NVIDIA GRID and TESLA GPU The above AMI had been tested with Caffe2 GPU support on a G2.2xlarge instance that uses a NVIDIA GRID K520 GPU.
If you are using homebrew leveldb on a Mac OS, you might see an error warning you that malloc_zone_unregister() failed.
This is not a caffe2 issue but is due to the homebrew leveldb having an incompatible memory allocator. Strictly speaking, the core dependencies above are all you need to run the core Caffe2 successfully.
Echo them first and see what you have and possibly append or replace with these directories. and you would see a localhost:8888 webpage pop up with the directory of notebooks running.
The following example will show you how to launch the Jupyter server and connect to remotely via an SSH tunnel. This will pass the cloud server’s Jupyter instance to your localhost 8888 port for you to use locally.
Amazon uses their own flavor of RHEL and they’ve installed CUDA in different spots than normally expected, so keep that in mind if you have to do some troubleshooting.