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authorAndreas Baumann <mail@andreasbaumann.cc>2018-05-27 08:20:24 +0200
committerAndreas Baumann <mail@andreasbaumann.cc>2018-05-27 08:20:24 +0200
commit24c30f5e9479142383a8f43a3a2fb252ae518634 (patch)
tree97d652ffb7dba23d6173233f8220d6be7f46e122 /community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch
parent01cf34e3f4a411326359941ded36d5664e4e1c3a (diff)
downloadpackages-24c30f5e9479142383a8f43a3a2fb252ae518634.tar.xz
community/arrayfire: patched for non-OpenCL testing and dim_t casts
Diffstat (limited to 'community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch')
-rw-r--r--community/arrayfire/arrayfire-full-3.6.0-dim-cast.patch36
1 files changed, 36 insertions, 0 deletions
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();
+