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| author | Jacob Kahn <jacobkahn1@gmail.com> | 2021-05-18 02:28:38 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-05-18 00:28:38 -0700 |
| commit | a0bed696328bc593165a23bf118e20486a2c7fa7 (patch) | |
| tree | 020de3975b3469324ad142e55e0991fb36cb23c2 /ports | |
| parent | d77e7675990ac4c5727a40c50b91da59aada8333 (diff) | |
| download | vcpkg-a0bed696328bc593165a23bf118e20486a2c7fa7.tar.gz vcpkg-a0bed696328bc593165a23bf118e20486a2c7fa7.zip | |
[cudnn] Fix port: install find module, add usage (#17644)
* [cudnn] Fix port
* [cudnn] Update version
* x-add-version again...
Diffstat (limited to 'ports')
| -rw-r--r-- | ports/cudnn/CONTROL | 2 | ||||
| -rw-r--r-- | ports/cudnn/portfile.cmake | 3 | ||||
| -rw-r--r-- | ports/cudnn/usage | 10 |
3 files changed, 14 insertions, 1 deletions
diff --git a/ports/cudnn/CONTROL b/ports/cudnn/CONTROL index db910a7bc..724918356 100644 --- a/ports/cudnn/CONTROL +++ b/ports/cudnn/CONTROL @@ -1,6 +1,6 @@ Source: cudnn Version: 7.6.5 -Port-Version: 2 +Port-Version: 3 Description: NVIDIA's cuDNN deep neural network acceleration library Build-Depends: cuda Supports: (windows|linux)&x64 diff --git a/ports/cudnn/portfile.cmake b/ports/cudnn/portfile.cmake index 6a0083130..7ec09f030 100644 --- a/ports/cudnn/portfile.cmake +++ b/ports/cudnn/portfile.cmake @@ -70,3 +70,6 @@ elseif(VCPKG_TARGET_IS_WINDOWS) else() message(FATAL_ERROR "Please install CUDNN using your system package manager (the same way you installed CUDA). For example: apt install libcudnn8-dev.") endif() + +file(INSTALL "${CURRENT_PORT_DIR}/FindCUDNN.cmake" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT}) +file(INSTALL "${CURRENT_PORT_DIR}/usage" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT}) diff --git a/ports/cudnn/usage b/ports/cudnn/usage new file mode 100644 index 000000000..f528e0154 --- /dev/null +++ b/ports/cudnn/usage @@ -0,0 +1,10 @@ +The package cudnn provides CMake variables: + + find_package(CUDNN REQUIRED) + target_link_libraries(main PRIVATE ${CUDNN_LIBRARIES}) + target_include_directories(main PRIVATE ${CUDNN_INCLUDE_DIRS}) + +Or the following CMake target: + + find_package(CUDNN REQUIRED) + target_link_libraries(main PRIVATE CuDNN::CuDNN) |