diff options
| author | Thomas Dinges <blender@dingto.org> | 2014-05-01 03:20:59 +0400 |
|---|---|---|
| committer | Thomas Dinges <blender@dingto.org> | 2014-05-01 03:21:21 +0400 |
| commit | 8d42e7b20d884937f7bf5491b0bddeec3e54b67b (patch) | |
| tree | 3527a1252db12bda87287d6fdf04f23d303813ab /intern/cycles | |
| parent | 73ad0dfbaeb34b8388e49243ceb539a097316843 (diff) | |
Cleanup / Cycles: Adjust comment for faster testing in the future.
Unfortunately the function call is still a bit slower, even with CUDA 6.0. :/
Diffstat (limited to 'intern/cycles')
| -rw-r--r-- | intern/cycles/kernel/kernel_path.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/intern/cycles/kernel/kernel_path.h b/intern/cycles/kernel/kernel_path.h index 0c4d15d4d7a..f9dc9f3c50f 100644 --- a/intern/cycles/kernel/kernel_path.h +++ b/intern/cycles/kernel/kernel_path.h @@ -818,7 +818,7 @@ ccl_device float4 kernel_path_integrate(KernelGlobals *kg, RNG *rng, int sample, } #endif - /* The following code is the same as in kernel_path_integrate_lighting(), + /* Same as kernel_path_integrate_lighting(kg, rng, &sd, &throughput, &state, &L, &ray), but for CUDA the function call is slower. */ #ifdef __EMISSION__ if(kernel_data.integrator.use_direct_light) { |