Fix #35665: cycles CUDA crash after recent changes. This works around a compiler
bug in CUDA 4.2 (solved in 5.5) with typedef'd function parameters.
This commit is contained in:
@@ -233,7 +233,7 @@ __device_inline bool shadow_blocked(KernelGlobals *kg, PathState *state, Ray *ra
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return result;
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}
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__device float4 kernel_path_progressive(KernelGlobals *kg, RNG rng, int sample, Ray ray, __global float *buffer)
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__device float4 kernel_path_progressive(KernelGlobals *kg, RNG *rng, int sample, Ray ray, __global float *buffer)
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{
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/* initialize */
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PathRadiance L;
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@@ -271,7 +271,7 @@ __device float4 kernel_path_progressive(KernelGlobals *kg, RNG rng, int sample,
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}
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extmax = kernel_data.curve_kernel_data.maximum_width;
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lcg_state = lcg_init(rng + rng_offset + sample*0x51633e2d);
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lcg_state = lcg_init(*rng + rng_offset + sample*0x51633e2d);
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}
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bool hit = scene_intersect(kg, &ray, visibility, &isect, &lcg_state, difl, extmax);
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@@ -399,7 +399,7 @@ __device float4 kernel_path_progressive(KernelGlobals *kg, RNG rng, int sample,
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/* do bssrdf scatter step if we picked a bssrdf closure */
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if(sc) {
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uint lcg_state = lcg_init(rng + rng_offset + sample*0x68bc21eb);
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uint lcg_state = lcg_init(*rng + rng_offset + sample*0x68bc21eb);
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subsurface_scatter_step(kg, &sd, state.flag, sc, &lcg_state, false);
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}
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}
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@@ -538,7 +538,7 @@ __device float4 kernel_path_progressive(KernelGlobals *kg, RNG rng, int sample,
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#ifdef __NON_PROGRESSIVE__
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__device void kernel_path_indirect(KernelGlobals *kg, RNG rng, int sample, Ray ray, __global float *buffer,
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__device void kernel_path_indirect(KernelGlobals *kg, RNG *rng, int sample, Ray ray, __global float *buffer,
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float3 throughput, int num_samples, int num_total_samples,
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float min_ray_pdf, float ray_pdf, PathState state, int rng_offset, PathRadiance *L)
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{
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@@ -644,7 +644,7 @@ __device void kernel_path_indirect(KernelGlobals *kg, RNG rng, int sample, Ray r
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/* do bssrdf scatter step if we picked a bssrdf closure */
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if(sc) {
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uint lcg_state = lcg_init(rng + rng_offset + sample*0x68bc21eb);
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uint lcg_state = lcg_init(*rng + rng_offset + sample*0x68bc21eb);
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subsurface_scatter_step(kg, &sd, state.flag, sc, &lcg_state, false);
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}
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}
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@@ -767,7 +767,7 @@ __device void kernel_path_indirect(KernelGlobals *kg, RNG rng, int sample, Ray r
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}
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}
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__device_noinline void kernel_path_non_progressive_lighting(KernelGlobals *kg, RNG rng, int sample,
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__device_noinline void kernel_path_non_progressive_lighting(KernelGlobals *kg, RNG *rng, int sample,
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ShaderData *sd, float3 throughput, float num_samples_adjust,
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float min_ray_pdf, float ray_pdf, PathState state,
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int rng_offset, PathRadiance *L, __global float *buffer)
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@@ -830,13 +830,13 @@ __device_noinline void kernel_path_non_progressive_lighting(KernelGlobals *kg, R
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for(int i = 0; i < kernel_data.integrator.num_all_lights; i++) {
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int num_samples = ceil_to_int(num_samples_adjust*light_select_num_samples(kg, i));
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float num_samples_inv = num_samples_adjust/(num_samples*kernel_data.integrator.num_all_lights);
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RNG lamp_rng = cmj_hash(rng, i);
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RNG lamp_rng = cmj_hash(*rng, i);
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if(kernel_data.integrator.pdf_triangles != 0.0f)
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num_samples_inv *= 0.5f;
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for(int j = 0; j < num_samples; j++) {
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float2 light_uv = path_rng_2D(kg, lamp_rng, sample*num_samples + j, aa_samples*num_samples, rng_offset + PRNG_LIGHT_U);
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float2 light_uv = path_rng_2D(kg, &lamp_rng, sample*num_samples + j, aa_samples*num_samples, rng_offset + PRNG_LIGHT_U);
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float light_u = light_uv.x;
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float light_v = light_uv.y;
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@@ -905,7 +905,7 @@ __device_noinline void kernel_path_non_progressive_lighting(KernelGlobals *kg, R
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num_samples = ceil_to_int(num_samples_adjust*num_samples);
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float num_samples_inv = num_samples_adjust/num_samples;
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RNG bsdf_rng = cmj_hash(rng, i);
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RNG bsdf_rng = cmj_hash(*rng, i);
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for(int j = 0; j < num_samples; j++) {
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/* sample BSDF */
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@@ -913,7 +913,7 @@ __device_noinline void kernel_path_non_progressive_lighting(KernelGlobals *kg, R
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BsdfEval bsdf_eval;
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float3 bsdf_omega_in;
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differential3 bsdf_domega_in;
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float2 bsdf_uv = path_rng_2D(kg, bsdf_rng, sample*num_samples + j, aa_samples*num_samples, rng_offset + PRNG_BSDF_U);
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float2 bsdf_uv = path_rng_2D(kg, &bsdf_rng, sample*num_samples + j, aa_samples*num_samples, rng_offset + PRNG_BSDF_U);
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float bsdf_u = bsdf_uv.x;
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float bsdf_v = bsdf_uv.y;
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int label;
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@@ -964,7 +964,7 @@ __device_noinline void kernel_path_non_progressive_lighting(KernelGlobals *kg, R
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}
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}
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__device float4 kernel_path_non_progressive(KernelGlobals *kg, RNG rng, int sample, Ray ray, __global float *buffer)
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__device float4 kernel_path_non_progressive(KernelGlobals *kg, RNG *rng, int sample, Ray ray, __global float *buffer)
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{
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/* initialize */
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PathRadiance L;
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@@ -997,7 +997,7 @@ __device float4 kernel_path_non_progressive(KernelGlobals *kg, RNG rng, int samp
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}
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extmax = kernel_data.curve_kernel_data.maximum_width;
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lcg_state = lcg_init(rng + rng_offset + sample*0x51633e2d);
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lcg_state = lcg_init(*rng + rng_offset + sample*0x51633e2d);
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}
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if(!scene_intersect(kg, &ray, visibility, &isect, &lcg_state, difl, extmax)) {
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@@ -1090,7 +1090,7 @@ __device float4 kernel_path_non_progressive(KernelGlobals *kg, RNG rng, int samp
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continue;
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/* set up random number generator */
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uint lcg_state = lcg_init(rng + rng_offset + sample*0x68bc21eb);
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uint lcg_state = lcg_init(*rng + rng_offset + sample*0x68bc21eb);
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int num_samples = kernel_data.integrator.subsurface_samples;
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float num_samples_inv = 1.0f/num_samples;
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@@ -1163,7 +1163,7 @@ __device void kernel_path_trace(KernelGlobals *kg,
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float lens_u = 0.0f, lens_v = 0.0f;
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if(kernel_data.cam.aperturesize > 0.0f) {
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float2 lens_uv = path_rng_2D(kg, rng, sample, num_samples, PRNG_LENS_U);
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float2 lens_uv = path_rng_2D(kg, &rng, sample, num_samples, PRNG_LENS_U);
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lens_u = lens_uv.x;
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lens_v = lens_uv.y;
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}
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@@ -1172,7 +1172,7 @@ __device void kernel_path_trace(KernelGlobals *kg,
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#ifdef __CAMERA_MOTION__
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if(kernel_data.cam.shuttertime != -1.0f)
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time = path_rng_1D(kg, rng, sample, num_samples, PRNG_TIME);
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time = path_rng_1D(kg, &rng, sample, num_samples, PRNG_TIME);
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#endif
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camera_sample(kg, x, y, filter_u, filter_v, lens_u, lens_v, time, &ray);
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@@ -1184,10 +1184,10 @@ __device void kernel_path_trace(KernelGlobals *kg,
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#ifdef __NON_PROGRESSIVE__
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if(kernel_data.integrator.progressive)
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#endif
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L = kernel_path_progressive(kg, rng, sample, ray, buffer);
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L = kernel_path_progressive(kg, &rng, sample, ray, buffer);
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#ifdef __NON_PROGRESSIVE__
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else
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L = kernel_path_non_progressive(kg, rng, sample, ray, buffer);
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L = kernel_path_non_progressive(kg, &rng, sample, ray, buffer);
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#endif
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}
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else
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@@ -102,10 +102,10 @@ __device uint sobol_lookup(const uint m, const uint frame, const uint ex, const
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return index;
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}
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__device_inline float path_rng(KernelGlobals *kg, RNG rng, int sample, int dimension)
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__device_inline float path_rng(KernelGlobals *kg, RNG *rng, int sample, int dimension)
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{
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#ifdef __SOBOL_FULL_SCREEN__
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uint result = sobol_dimension(kg, rng, dimension);
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uint result = sobol_dimension(kg, *rng, dimension);
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float r = (float)result * (1.0f/(float)0xFFFFFFFF);
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return r;
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#else
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@@ -117,20 +117,20 @@ __device_inline float path_rng(KernelGlobals *kg, RNG rng, int sample, int dimen
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float shift;
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if(dimension & 1)
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shift = (rng >> 16)*(1.0f/(float)0xFFFF);
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shift = (*rng >> 16)*(1.0f/(float)0xFFFF);
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else
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shift = (rng & 0xFFFF)*(1.0f/(float)0xFFFF);
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shift = (*rng & 0xFFFF)*(1.0f/(float)0xFFFF);
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return r + shift - floorf(r + shift);
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#endif
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}
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__device_inline float path_rng_1D(KernelGlobals *kg, RNG rng, int sample, int num_samples, int dimension)
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__device_inline float path_rng_1D(KernelGlobals *kg, RNG *rng, int sample, int num_samples, int dimension)
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{
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#ifdef __CMJ__
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if(kernel_data.integrator.sampling_pattern == SAMPLING_PATTERN_CMJ) {
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/* correlated multi-jittered */
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int p = rng + dimension;
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int p = *rng + dimension;
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return cmj_sample_1D(sample, num_samples, p);
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}
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#endif
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@@ -139,12 +139,12 @@ __device_inline float path_rng_1D(KernelGlobals *kg, RNG rng, int sample, int nu
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return path_rng(kg, rng, sample, dimension);
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}
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__device_inline float2 path_rng_2D(KernelGlobals *kg, RNG rng, int sample, int num_samples, int dimension)
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__device_inline float2 path_rng_2D(KernelGlobals *kg, RNG *rng, int sample, int num_samples, int dimension)
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{
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#ifdef __CMJ__
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if(kernel_data.integrator.sampling_pattern == SAMPLING_PATTERN_CMJ) {
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/* correlated multi-jittered */
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int p = rng + dimension;
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int p = *rng + dimension;
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return cmj_sample_2D(sample, num_samples, p);
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}
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#endif
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@@ -184,7 +184,7 @@ __device_inline void path_rng_init(KernelGlobals *kg, __global uint *rng_state,
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*fy = 0.5f;
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}
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else {
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float2 fxy = path_rng_2D(kg, *rng, sample, num_samples, PRNG_FILTER_U);
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float2 fxy = path_rng_2D(kg, rng, sample, num_samples, PRNG_FILTER_U);
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*fx = fxy.x;
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*fy = fxy.y;
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