From 41fad2e38d0e7414ab7efb690e86da6a1c29d207 Mon Sep 17 00:00:00 2001 From: Mark Glines Date: Wed, 30 Sep 2020 12:01:51 -0400 Subject: [PATCH] Update PYTHONPATH example in README.md --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 717313fce..6664b57da 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ email list for open discussions and questions. TL;DR build taco using CMake. Run `taco-test` in the `bin` directory. -# Build and test +# Build and test ![Build and Test](https://github.com/RSenApps/taco/workflows/Build%20and%20Test/badge.svg?branch=master) Build taco using CMake 2.8.3 or greater: @@ -44,7 +44,7 @@ To build taco with the Python API (pytaco), add `-DPYTHON=ON` to the cmake line You will then need to add the pytaco module to PYTHONPATH: - export PYTHONPATH=/python_bindings/:$PYTHONPATH + export PYTHONPATH=/lib:$PYTHONPATH pytaco requires NumPy and SciPy to be installed. @@ -59,11 +59,11 @@ To build taco for NVIDIA CUDA, add `-DCUDA=ON` to the cmake line above. For exam cmake -DCMAKE_BUILD_TYPE=Release -DCUDA=ON .. Please also make sure that you have CUDA installed properly and that the following environment variables are set correctly: - + export PATH=/usr/local/cuda/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH export LIBRARY_PATH=/usr/local/cuda/lib64:$LIBRARY_PATH - + If you do not have CUDA installed, you can still use the taco cli to generate CUDA code with the -cuda flag. ## Running tests @@ -137,7 +137,7 @@ the same effect: cd ./build/bin/taco Usage: taco [options] - + Examples: taco "a(i) = b(i) + c(i)" # Dense vector add taco "a(i) = b(i) + c(i)" -f=b:s -f=c:s -f=a:s # Sparse vector add