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[HIP][doc] NVIDIA-nvcc -> HIP-nvcc

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[ROCm/clr commit: 3df22b2fde]
Tento commit je obsažen v:
Evgeny Mankov
2019-10-28 22:46:33 +03:00
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projects/clr/hipamd/INSTALL.md
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@@ -6,7 +6,7 @@
* [Prerequisites](#prerequisites) * [Prerequisites](#prerequisites)
* [HIP-hcc](#hip-hcc) * [HIP-hcc](#hip-hcc)
* [HIP-clang](#hip-clang) * [HIP-clang](#hip-clang)
* [NVIDIA-nvcc](#nvidia-nvcc) * [HIP-nvcc](#hip-nvcc)
* [Verify your installation](#verify-your-installation) * [Verify your installation](#verify-your-installation)
- [Building HIP from source](#building-hip-from-source) - [Building HIP from source](#building-hip-from-source)
* [HCC Options](#hcc-options) * [HCC Options](#hcc-options)
@@ -65,7 +65,7 @@ apt-get install hip_hcc
* Optionally, consider adding /opt/rocm/bin to your PATH to make it easier to use the tools. * Optionally, consider adding /opt/rocm/bin to your PATH to make it easier to use the tools.
* Optionally, set HIPCC_VERBOSE=7 to output the command line for compilation to make sure clang is used instead of hcc. * Optionally, set HIPCC_VERBOSE=7 to output the command line for compilation to make sure clang is used instead of hcc.
## NVIDIA-nvcc ## HIP-nvcc
* Add the ROCm package server to your system as per the OS-specific guide available [here](https://rocm.github.io/ROCmInstall.html#installing-from-amd-rocm-repositories). * Add the ROCm package server to your system as per the OS-specific guide available [here](https://rocm.github.io/ROCmInstall.html#installing-from-amd-rocm-repositories).
* Install the "hip_nvcc" package. This will install CUDA SDK and the HIP porting layer. * Install the "hip_nvcc" package. This will install CUDA SDK and the HIP porting layer.
``` ```