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Diffstat (limited to 'ot/gpu/cudamat/INSTALL.md')
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diff --git a/ot/gpu/cudamat/INSTALL.md b/ot/gpu/cudamat/INSTALL.md deleted file mode 100644 index 95cfef3..0000000 --- a/ot/gpu/cudamat/INSTALL.md +++ /dev/null @@ -1,53 +0,0 @@ -Prerequisites -------------- - -cudamat needs the following to be installed first: - -* Python 2.x or 3.x and numpy -* The CUDA SDK -* nose for running the tests (optional) - -Installation ------------- - -Once you have installed the prerequisites and downloaded cudamat, switch to the -cudamat directory and run either of the following commands to install it: - -```bash -# a) Install for your user: -python setup.py install --user -# b) Install for your user, but with pip: -pip install --user . -# c) Install system-wide: -sudo python setup.py install -# d) Install system-wide, but with pip: -sudo pip install . -``` - -If your Nvidia GPU supports a higher Compute Capability than the default one of -your CUDA toolkit, you can set the `NVCCFLAGS` environment variable when -installing cudamat to compile it for your architecture. For example, to install -for your user for a GTX 780 Ti (Compute Capability 3.5), you would run: - -```bash -NVCCFLAGS=-arch=sm_35 python setup.py install --user -``` - -To compile for both Compute Capability 2.0 and 3.5, you would run: - -```bash -NVCCFLAGS="-gencode arch=compute_20,code=sm_20 -gencode arch=compute_35,code=sm_35" ... -``` - -Testing -------- - -To test your setup, run the included unit tests and optionally the benchmark: - -```bash -cd test # so it doesn't try importing cudamat from the source directory -# Run tests -nosetests -# Run benchmark -python ../examples/bench_cudamat.py -``` |