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fix: Windows CUDA compilation was incorrectly described

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This commit is contained in:
Przemek Pawlas 2023-09-15 20:16:52 +02:00
parent cd4dbdbb3b
commit 9e3d94eca3
2 changed files with 4 additions and 4 deletions
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4
.github/scripts/Build-Windows.ps1 vendored
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@ -7,7 +7,7 @@ param(
[switch] $SkipAll, [switch] $SkipAll,
[switch] $SkipBuild, [switch] $SkipBuild,
[switch] $SkipDeps, [switch] $SkipDeps,
[string] $ExtraCmakeArgs [string[]] $ExtraCmakeArgs
) )
$ErrorActionPreference = 'Stop' $ErrorActionPreference = 'Stop'
@ -58,7 +58,7 @@ function Build {
Ensure-Location $ProjectRoot Ensure-Location $ProjectRoot
# take cmake args from $ExtraCmakeArgs # take cmake args from $ExtraCmakeArgs
$CmakeArgs = @($ExtraCmakeArgs) $CmakeArgs = $ExtraCmakeArgs
$CmakeBuildArgs = @() $CmakeBuildArgs = @()
$CmakeInstallArgs = @() $CmakeInstallArgs = @()

4
README.md
View File

@ -95,7 +95,7 @@ After installing the CUDA toolkit, you need to set variables to point CMake to t
For example For example
```powershell ```powershell
> .github/scripts/Build-Windows.ps1 -Target x64 -ExtraCmakeFlags "-D LOCALVOCAL_WITH_CUDA=ON -D CUDA_TOOLKIT_ROOT_DIR='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4'" .github/scripts/Build-Windows.ps1 -Target x64 -ExtraCmakeArgs '-D','LOCALVOCAL_WITH_CUDA=ON','-D',"CUDA_TOOLKIT_ROOT_DIR='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2'"
``` ```
You will need to copy a few CUDA .dll files to the location of the plugin .dll for it to run. The required .dll files from CUDA (which are located in the `bin` folder of the CUDA toolkit installation directory) are: You will need to copy a few CUDA .dll files to the location of the plugin .dll for it to run. The required .dll files from CUDA (which are located in the `bin` folder of the CUDA toolkit installation directory) are:
@ -104,4 +104,4 @@ You will need to copy a few CUDA .dll files to the location of the plugin .dll f
- `cublas64_NN.dll` - `cublas64_NN.dll`
- `cublasLt64_NN.dll` - `cublasLt64_NN.dll`
where `NN` is the CUDA version number. For example, if you have installed CUDA 11.4 then `NN` is likely `11`. where `NN` is the CUDA major version number. For example, if you have installed CUDA 12.2 as in example above, then `NN` is `12`.