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Archlinux32 package modifications | gitolite user |
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author | Andreas Baumann <mail@andreasbaumann.cc> | 2018-05-27 08:20:24 +0200 |
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committer | Andreas Baumann <mail@andreasbaumann.cc> | 2018-05-27 08:20:24 +0200 |
commit | 24c30f5e9479142383a8f43a3a2fb252ae518634 (patch) | |
tree | 97d652ffb7dba23d6173233f8220d6be7f46e122 /community/arrayfire | |
parent | 01cf34e3f4a411326359941ded36d5664e4e1c3a (diff) |
-rw-r--r-- | community/arrayfire/PKGBUILD | 21 | ||||
-rw-r--r-- | community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch | 36 | ||||
-rw-r--r-- | community/arrayfire/arrayfire-full-3.6.0-no-cuda-backend-testing.patch | 16 |
diff --git a/community/arrayfire/PKGBUILD b/community/arrayfire/PKGBUILD index 95128825..dbc3d30d 100644 --- a/community/arrayfire/PKGBUILD +++ b/community/arrayfire/PKGBUILD @@ -1,5 +1,7 @@ +# modern cuda is no longer available for 32-bit makedepends=(${makedepends[@]//cuda/}) +# force 32-bit compilation eval "$( declare -f build | \ sed ' @@ -10,3 +12,22 @@ eval "$( } ' )" + +# compilation issues around dim_t casts, see https://github.com/arrayfire/arrayfire/issues/2161 +source+=(arrayfire-full-3.6.0-dim-cast.patch) +sha512sums+=('0db9eaac34c0d1126bb771ed62bbafe9aef0373ef947f54f308ed943f77cb81e543fbe9c107a781d76168fbb8effb6a4c3005b7c6dae4a2a0395ed26c9a2f33d') +eval "$( + declare -f prepare | \ + sed ' + /cd /a patch -Np1 -i ${srcdir}/arrayfire-full-3.6.0-dim-cast.patch + ' +)" + +source+=(arrayfire-full-3.6.0-no-cuda-backend-testing.patch) +sha512sums+=('7c5912ecf59932a4c00f859190174b5b88f01010d131dfef4b013940543f157698d048297eb8c86e1d5289df8f7eb6d769fd39f069b7bf3262800ceca98d09fc') +eval "$( + declare -f prepare | \ + sed ' + /cd /a patch -Np1 -i ${srcdir}/arrayfire-full-3.6.0-no-cuda-backend-testing.patch + ' +)" diff --git a/community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch b/community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch new file mode 100644 index 00000000..d0ba0faa --- /dev/null +++ b/community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch @@ -0,0 +1,36 @@ +diff -rauN arrayfire-full-3.6.0/src/api/c/homography.cpp arrayfire-full-3.6.0-dim-cast-patch/src/api/c/homography.cpp +--- arrayfire-full-3.6.0/src/api/c/homography.cpp 2018-05-02 20:53:08.000000000 +0200 ++++ arrayfire-full-3.6.0-dim-cast-patch/src/api/c/homography.cpp 2018-05-26 17:12:16.120826525 +0200 +@@ -30,7 +30,7 @@ + Array<T> bestH = createEmptyArray<T>(af::dim4(3, 3)); + af_array initial; + unsigned d = (iterations + 256 - 1) / 256; +- dim_t rdims[] = {4, d * 256}; ++ dim_t rdims[] = {4, static_cast<dim_t>(d) * 256}; + AF_CHECK(af_randu(&initial, 2, rdims, f32)); + inliers = homography<T>(bestH, + getArray<float>(x_src), getArray<float>(y_src), +diff -rauN arrayfire-full-3.6.0/src/backend/opencl/kernel/ireduce.hpp arrayfire-full-3.6.0-dim-cast-patch/src/backend/opencl/kernel/ireduce.hpp +--- arrayfire-full-3.6.0/src/backend/opencl/kernel/ireduce.hpp 2018-05-02 20:53:08.000000000 +0200 ++++ arrayfire-full-3.6.0-dim-cast-patch/src/backend/opencl/kernel/ireduce.hpp 2018-05-26 17:11:37.880234104 +0200 +@@ -361,7 +361,7 @@ + + uint groups_x = divup(in.info.dims[0], threads_x * REPEAT); + uint groups_y = divup(in.info.dims[1], threads_y); +- Array<T> tmp = createEmptyArray<T>({groups_x, in.info.dims[1], in.info.dims[2], in.info.dims[3]}); ++ Array<T> tmp = createEmptyArray<T>({static_cast<dim_t>(groups_x), in.info.dims[1], in.info.dims[2], in.info.dims[3]}); + + int tmp_elements = tmp.elements(); + cl::Buffer *tidx = bufferAlloc(tmp_elements * sizeof(uint)); +diff -rauN arrayfire-full-3.6.0/src/backend/opencl/kernel/reduce.hpp arrayfire-full-3.6.0-dim-cast-patch/src/backend/opencl/kernel/reduce.hpp +--- arrayfire-full-3.6.0/src/backend/opencl/kernel/reduce.hpp 2018-05-02 20:53:08.000000000 +0200 ++++ arrayfire-full-3.6.0-dim-cast-patch/src/backend/opencl/kernel/reduce.hpp 2018-05-26 17:11:55.600508641 +0200 +@@ -301,7 +301,7 @@ + + uint groups_x = divup(in.info.dims[0], threads_x * REPEAT); + uint groups_y = divup(in.info.dims[1], threads_y); +- Array<To> tmp = createEmptyArray<To>({groups_x, in.info.dims[1], in.info.dims[2], in.info.dims[3]}); ++ Array<To> tmp = createEmptyArray<To>({static_cast<dim_t>(groups_x), in.info.dims[1], in.info.dims[2], in.info.dims[3]}); + + int tmp_elements = tmp.elements(); + diff --git a/community/arrayfire/arrayfire-full-3.6.0-no-cuda-backend-testing.patch b/community/arrayfire/arrayfire-full-3.6.0-no-cuda-backend-testing.patch new file mode 100644 index 00000000..f6904302 --- /dev/null +++ b/community/arrayfire/arrayfire-full-3.6.0-no-cuda-backend-testing.patch @@ -0,0 +1,16 @@ +diff -rauN arrayfire-full-3.6.0/test/CMakeLists.txt arrayfire-full-3.6.0-no-cuda-backend-testing-patch/test/CMakeLists.txt +--- arrayfire-full-3.6.0/test/CMakeLists.txt 2018-05-02 20:53:08.000000000 +0200 ++++ arrayfire-full-3.6.0-no-cuda-backend-testing-patch/test/CMakeLists.txt 2018-05-26 17:23:02.097495405 +0200 +@@ -49,9 +49,9 @@ + list(APPEND enabled_backends "cuda") + endif(AF_BUILD_CUDA) + +-if(AF_BUILD_OPENCL) +- list(APPEND enabled_backends "opencl") +-endif(AF_BUILD_OPENCL) ++#if(AF_BUILD_OPENCL) ++# list(APPEND enabled_backends "opencl") ++#endif(AF_BUILD_OPENCL) + + if(AF_BUILD_UNIFIED) + list(APPEND enabled_backends "unified") |