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authorCampbell Barton <ideasman42@gmail.com>2020-03-06 03:40:37 +0300
committerCampbell Barton <ideasman42@gmail.com>2020-03-06 03:52:32 +0300
commit8574d68aa0ea123bf3f37ca36fd41b7dcf26403f (patch)
treede142277925e83145085ddb35843d772b250df17 /intern/cycles/device
parent6c623b0e8c3773a5aafa577fbad4a65ecd627c8c (diff)
Cleanup: spelling
Diffstat (limited to 'intern/cycles/device')
-rw-r--r--intern/cycles/device/cuda/device_cuda_impl.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/intern/cycles/device/cuda/device_cuda_impl.cpp b/intern/cycles/device/cuda/device_cuda_impl.cpp
index 11dd9b69f10..4e8d8b7ca7c 100644
--- a/intern/cycles/device/cuda/device_cuda_impl.cpp
+++ b/intern/cycles/device/cuda/device_cuda_impl.cpp
@@ -1708,8 +1708,8 @@ void CUDADevice::adaptive_sampling_filter(uint filter_sample,
{
const int num_threads_per_block = functions.adaptive_num_threads_per_block;
- /* These are a series of tiny kernels because there is no grid synchronisation
- * from within a kernel, so multiple kernel launches it is.*/
+ /* These are a series of tiny kernels because there is no grid synchronization
+ * from within a kernel, so multiple kernel launches it is. */
uint total_work_size = wtile->h * wtile->w;
void *args2[] = {&d_wtile, &filter_sample, &total_work_size};
uint num_blocks = divide_up(total_work_size, num_threads_per_block);