mirror of
https://github.com/KhronosGroup/glslang
synced 2024-11-08 19:40:06 +00:00
292 lines
17 KiB
Plaintext
292 lines
17 KiB
Plaintext
#version 450
|
|
|
|
#extension GL_NV_shader_subgroup_partitioned: enable
|
|
#extension GL_EXT_shader_subgroup_extended_types_int8: enable
|
|
#extension GL_EXT_shader_subgroup_extended_types_int16: enable
|
|
#extension GL_EXT_shader_subgroup_extended_types_int64: enable
|
|
#extension GL_EXT_shader_subgroup_extended_types_float16: enable
|
|
|
|
layout (local_size_x = 8) in;
|
|
|
|
layout(binding = 0) buffer Buffers
|
|
{
|
|
i8vec4 i8;
|
|
u8vec4 u8;
|
|
i16vec4 i16;
|
|
u16vec4 u16;
|
|
i64vec4 i64;
|
|
u64vec4 u64;
|
|
f16vec4 f16;
|
|
} data[4];
|
|
|
|
void main()
|
|
{
|
|
uint invocation = (gl_SubgroupInvocationID + gl_SubgroupSize) % 4;
|
|
|
|
uvec4 ballot;
|
|
ballot = subgroupPartitionNV(data[0].i8.x);
|
|
ballot = subgroupPartitionNV(data[1].i8.xy);
|
|
ballot = subgroupPartitionNV(data[2].i8.xyz);
|
|
ballot = subgroupPartitionNV(data[3].i8);
|
|
|
|
ballot = subgroupPartitionNV(data[0].u8.x);
|
|
ballot = subgroupPartitionNV(data[1].u8.xy);
|
|
ballot = subgroupPartitionNV(data[2].u8.xyz);
|
|
ballot = subgroupPartitionNV(data[3].u8);
|
|
|
|
ballot = subgroupPartitionNV(data[0].i16.x);
|
|
ballot = subgroupPartitionNV(data[1].i16.xy);
|
|
ballot = subgroupPartitionNV(data[2].i16.xyz);
|
|
ballot = subgroupPartitionNV(data[3].i16);
|
|
|
|
ballot = subgroupPartitionNV(data[0].u16.x);
|
|
ballot = subgroupPartitionNV(data[1].u16.xy);
|
|
ballot = subgroupPartitionNV(data[2].u16.xyz);
|
|
ballot = subgroupPartitionNV(data[3].u16);
|
|
|
|
ballot = subgroupPartitionNV(data[0].i64.x);
|
|
ballot = subgroupPartitionNV(data[1].i64.xy);
|
|
ballot = subgroupPartitionNV(data[2].i64.xyz);
|
|
ballot = subgroupPartitionNV(data[3].i64);
|
|
|
|
ballot = subgroupPartitionNV(data[0].u64.x);
|
|
ballot = subgroupPartitionNV(data[1].u64.xy);
|
|
ballot = subgroupPartitionNV(data[2].u64.xyz);
|
|
ballot = subgroupPartitionNV(data[3].u64);
|
|
|
|
ballot = subgroupPartitionNV(data[0].f16.x);
|
|
ballot = subgroupPartitionNV(data[1].f16.xy);
|
|
ballot = subgroupPartitionNV(data[2].f16.xyz);
|
|
ballot = subgroupPartitionNV(data[3].f16);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedAddNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedAddNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedAddNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedAddNV(data[3].i8, ballot);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedMulNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedMulNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedMulNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedMulNV(data[3].i8, ballot);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedMinNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedMinNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedMinNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedMinNV(data[3].i8, ballot);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedMaxNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedMaxNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedMaxNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedMaxNV(data[3].i8, ballot);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedAndNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedAndNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedAndNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedAndNV(data[3].i8, ballot);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedOrNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedOrNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedOrNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedOrNV(data[3].i8, ballot);
|
|
|
|
data[invocation].i8.x = subgroupPartitionedXorNV(data[0].i8.x, ballot);
|
|
data[invocation].i8.xy = subgroupPartitionedXorNV(data[1].i8.xy, ballot);
|
|
data[invocation].i8.xyz = subgroupPartitionedXorNV(data[2].i8.xyz, ballot);
|
|
data[invocation].i8 = subgroupPartitionedXorNV(data[3].i8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedAddNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedAddNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedAddNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedAddNV(data[3].u8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedMulNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedMulNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedMulNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedMulNV(data[3].u8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedMinNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedMinNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedMinNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedMinNV(data[3].u8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedMaxNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedMaxNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedMaxNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedMaxNV(data[3].u8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedAndNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedAndNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedAndNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedAndNV(data[3].u8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedOrNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedOrNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedOrNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedOrNV(data[3].u8, ballot);
|
|
|
|
data[invocation].u8.x = subgroupPartitionedXorNV(data[0].u8.x, ballot);
|
|
data[invocation].u8.xy = subgroupPartitionedXorNV(data[1].u8.xy, ballot);
|
|
data[invocation].u8.xyz = subgroupPartitionedXorNV(data[2].u8.xyz, ballot);
|
|
data[invocation].u8 = subgroupPartitionedXorNV(data[3].u8, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedAddNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedAddNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedAddNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedAddNV(data[3].i16, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedMulNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedMulNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedMulNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedMulNV(data[3].i16, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedMinNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedMinNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedMinNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedMinNV(data[3].i16, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedMaxNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedMaxNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedMaxNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedMaxNV(data[3].i16, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedAndNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedAndNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedAndNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedAndNV(data[3].i16, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedOrNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedOrNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedOrNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedOrNV(data[3].i16, ballot);
|
|
|
|
data[invocation].i16.x = subgroupPartitionedXorNV(data[0].i16.x, ballot);
|
|
data[invocation].i16.xy = subgroupPartitionedXorNV(data[1].i16.xy, ballot);
|
|
data[invocation].i16.xyz = subgroupPartitionedXorNV(data[2].i16.xyz, ballot);
|
|
data[invocation].i16 = subgroupPartitionedXorNV(data[3].i16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedAddNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedAddNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedAddNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedAddNV(data[3].u16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedMulNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedMulNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedMulNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedMulNV(data[3].u16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedMinNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedMinNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedMinNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedMinNV(data[3].u16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedMaxNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedMaxNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedMaxNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedMaxNV(data[3].u16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedAndNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedAndNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedAndNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedAndNV(data[3].u16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedOrNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedOrNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedOrNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedOrNV(data[3].u16, ballot);
|
|
|
|
data[invocation].u16.x = subgroupPartitionedXorNV(data[0].u16.x, ballot);
|
|
data[invocation].u16.xy = subgroupPartitionedXorNV(data[1].u16.xy, ballot);
|
|
data[invocation].u16.xyz = subgroupPartitionedXorNV(data[2].u16.xyz, ballot);
|
|
data[invocation].u16 = subgroupPartitionedXorNV(data[3].u16, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedAddNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedAddNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedAddNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedAddNV(data[3].i64, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedMulNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedMulNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedMulNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedMulNV(data[3].i64, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedMinNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedMinNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedMinNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedMinNV(data[3].i64, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedMaxNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedMaxNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedMaxNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedMaxNV(data[3].i64, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedAndNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedAndNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedAndNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedAndNV(data[3].i64, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedOrNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedOrNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedOrNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedOrNV(data[3].i64, ballot);
|
|
|
|
data[invocation].i64.x = subgroupPartitionedXorNV(data[0].i64.x, ballot);
|
|
data[invocation].i64.xy = subgroupPartitionedXorNV(data[1].i64.xy, ballot);
|
|
data[invocation].i64.xyz = subgroupPartitionedXorNV(data[2].i64.xyz, ballot);
|
|
data[invocation].i64 = subgroupPartitionedXorNV(data[3].i64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedAddNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedAddNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedAddNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedAddNV(data[3].u64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedMulNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedMulNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedMulNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedMulNV(data[3].u64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedMinNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedMinNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedMinNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedMinNV(data[3].u64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedMaxNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedMaxNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedMaxNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedMaxNV(data[3].u64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedAndNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedAndNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedAndNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedAndNV(data[3].u64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedOrNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedOrNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedOrNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedOrNV(data[3].u64, ballot);
|
|
|
|
data[invocation].u64.x = subgroupPartitionedXorNV(data[0].u64.x, ballot);
|
|
data[invocation].u64.xy = subgroupPartitionedXorNV(data[1].u64.xy, ballot);
|
|
data[invocation].u64.xyz = subgroupPartitionedXorNV(data[2].u64.xyz, ballot);
|
|
data[invocation].u64 = subgroupPartitionedXorNV(data[3].u64, ballot);
|
|
|
|
data[invocation].f16.x = subgroupPartitionedAddNV(data[0].f16.x, ballot);
|
|
data[invocation].f16.xy = subgroupPartitionedAddNV(data[1].f16.xy, ballot);
|
|
data[invocation].f16.xyz = subgroupPartitionedAddNV(data[2].f16.xyz, ballot);
|
|
data[invocation].f16 = subgroupPartitionedAddNV(data[3].f16, ballot);
|
|
|
|
data[invocation].f16.x = subgroupPartitionedMulNV(data[0].f16.x, ballot);
|
|
data[invocation].f16.xy = subgroupPartitionedMulNV(data[1].f16.xy, ballot);
|
|
data[invocation].f16.xyz = subgroupPartitionedMulNV(data[2].f16.xyz, ballot);
|
|
data[invocation].f16 = subgroupPartitionedMulNV(data[3].f16, ballot);
|
|
|
|
data[invocation].f16.x = subgroupPartitionedMinNV(data[0].f16.x, ballot);
|
|
data[invocation].f16.xy = subgroupPartitionedMinNV(data[1].f16.xy, ballot);
|
|
data[invocation].f16.xyz = subgroupPartitionedMinNV(data[2].f16.xyz, ballot);
|
|
data[invocation].f16 = subgroupPartitionedMinNV(data[3].f16, ballot);
|
|
|
|
data[invocation].f16.x = subgroupPartitionedMaxNV(data[0].f16.x, ballot);
|
|
data[invocation].f16.xy = subgroupPartitionedMaxNV(data[1].f16.xy, ballot);
|
|
data[invocation].f16.xyz = subgroupPartitionedMaxNV(data[2].f16.xyz, ballot);
|
|
data[invocation].f16 = subgroupPartitionedMaxNV(data[3].f16, ballot);
|
|
}
|