add links

leofang · web-flow · commit 3a07b4e6accf · 2021-01-22T11:23:13.000-05:00
diff --git a/src/user/faq.rst b/src/user/faq.rst
@@ -77,4 +77,4 @@ FAQ
 
   Unfortunately, this is not possible with Conda-Forge's current infrastructure (``nvcc``, ``cudatoolkit``, etc) if there is no local CUDA Toolkit installation. In particular, the ``nvcc`` package provided on Conda-Forge is a *metapackage* wrapping an actual ``nvcc`` compiler for our CI to use; it does not contain the full ``nvcc`` compiler toolchain. One of the reasons is that CUDA headers like ``cuda.h``, ``cuda_runtime.h``, etc, are not redistributable according to NVIDIA's EULA, which are needed at compile time. Likewise, the ``cudatoolkit`` package only contains CUDA runtime libraries and not the compiler toolchain.
   
-  If you need to compile CUDA codes, even if they involve only CUDA host APIs, you will still need a valid CUDA Toolkit installed locally and use it.
+  If you need to compile CUDA codes, even if they involve only CUDA host APIs, you will still need a valid CUDA Toolkit installed locally and use it. Please refer to `NVCC's documentation <https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html>`_ for the CUDA compiler usage and `CUDA Programming Guide <https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html>`_ for general CUDA programming.

Original file line number	Diff line number	Diff line change
`@@ -77,4 +77,4 @@ FAQ`
`77`	`77`
`78`	`78`	Unfortunately, this is not possible with Conda-Forge's current infrastructure (``nvcc``, ``cudatoolkit``, etc) if there is no local CUDA Toolkit installation. In particular, the ``nvcc`` package provided on Conda-Forge is a metapackage wrapping an actual ``nvcc`` compiler for our CI to use; it does not contain the full ``nvcc`` compiler toolchain. One of the reasons is that CUDA headers like ``cuda.h``, ``cuda_runtime.h``, etc, are not redistributable according to NVIDIA's EULA, which are needed at compile time. Likewise, the ``cudatoolkit`` package only contains CUDA runtime libraries and not the compiler toolchain.
`79`	`79`
`80`		`- If you need to compile CUDA codes, even if they involve only CUDA host APIs, you will still need a valid CUDA Toolkit installed locally and use it.`
	`80`	+ If you need to compile CUDA codes, even if they involve only CUDA host APIs, you will still need a valid CUDA Toolkit installed locally and use it. Please refer to `NVCC's documentation <https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html>`_ for the CUDA compiler usage and `CUDA Programming Guide <https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html>`_ for general CUDA programming.