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https://github.com/KhronosGroup/glslang
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421 lines
28 KiB
Plaintext
421 lines
28 KiB
Plaintext
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#version 450
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#extension GL_NV_shader_subgroup_partitioned: enable
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layout (local_size_x = 8) in;
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layout(binding = 0) buffer Buffers
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{
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vec4 f4;
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ivec4 i4;
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uvec4 u4;
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dvec4 d4;
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} data[4];
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void main()
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{
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uint invocation = (gl_SubgroupInvocationID + gl_SubgroupSize) % 4;
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uvec4 ballot = subgroupPartitionNV(invocation);
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data[invocation].u4 = subgroupPartitionNV(data[0].f4.x);
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data[invocation].u4 = subgroupPartitionNV(data[0].f4.xy);
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data[invocation].u4 = subgroupPartitionNV(data[0].f4.xyz);
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data[invocation].u4 = subgroupPartitionNV(data[0].f4);
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data[invocation].u4 = subgroupPartitionNV(data[0].i4.x);
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data[invocation].u4 = subgroupPartitionNV(data[0].i4.xy);
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data[invocation].u4 = subgroupPartitionNV(data[0].i4.xyz);
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data[invocation].u4 = subgroupPartitionNV(data[0].i4);
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data[invocation].u4 = subgroupPartitionNV(data[0].u4.x);
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data[invocation].u4 = subgroupPartitionNV(data[0].u4.xy);
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data[invocation].u4 = subgroupPartitionNV(data[0].u4.xyz);
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data[invocation].u4 = subgroupPartitionNV(data[0].u4);
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data[invocation].u4 = subgroupPartitionNV(data[0].d4.x);
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data[invocation].u4 = subgroupPartitionNV(data[0].d4.xy);
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data[invocation].u4 = subgroupPartitionNV(data[0].d4.xyz);
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data[invocation].u4 = subgroupPartitionNV(data[0].d4);
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data[invocation].u4 = subgroupPartitionNV(bool(data[0].i4.x));
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data[invocation].u4 = subgroupPartitionNV(bvec2(data[0].i4.xy));
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data[invocation].u4 = subgroupPartitionNV(bvec3(data[0].i4.xyz));
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data[invocation].u4 = subgroupPartitionNV(bvec4(data[0].i4));
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data[invocation].f4.x = subgroupPartitionedAddNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedAddNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedAddNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedAddNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedAddNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedAddNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedAddNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedAddNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedAddNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedAddNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedAddNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedAddNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedAddNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedAddNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedAddNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedAddNV(data[3].d4, ballot);
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data[invocation].f4.x = subgroupPartitionedMulNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedMulNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedMulNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedMulNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedMulNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedMulNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedMulNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedMulNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedMulNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedMulNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedMulNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedMulNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedMulNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedMulNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedMulNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedMulNV(data[3].d4, ballot);
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data[invocation].f4.x = subgroupPartitionedMinNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedMinNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedMinNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedMinNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedMinNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedMinNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedMinNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedMinNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedMinNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedMinNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedMinNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedMinNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedMinNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedMinNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedMinNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedMinNV(data[3].d4, ballot);
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data[invocation].f4.x = subgroupPartitionedMaxNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedMaxNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedMaxNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedMaxNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedMaxNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedMaxNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedMaxNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedMaxNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedMaxNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedMaxNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedMaxNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedMaxNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedMaxNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedMaxNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedMaxNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedMaxNV(data[3].d4, ballot);
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data[invocation].i4.x = subgroupPartitionedAndNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedAndNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedAndNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedAndNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedAndNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedAndNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedAndNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedAndNV(data[3].u4, ballot);
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data[invocation].i4.x = int(subgroupPartitionedAndNV(data[0].i4.x < 0, ballot));
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data[invocation].i4.xy = ivec2(subgroupPartitionedAndNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
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data[invocation].i4.xyz = ivec3(subgroupPartitionedAndNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
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data[invocation].i4 = ivec4(subgroupPartitionedAndNV(lessThan(data[1].i4, ivec4(0)), ballot));
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data[invocation].i4.x = subgroupPartitionedOrNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedOrNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedOrNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedOrNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedOrNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedOrNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedOrNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedOrNV(data[3].u4, ballot);
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data[invocation].i4.x = int(subgroupPartitionedOrNV(data[0].i4.x < 0, ballot));
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data[invocation].i4.xy = ivec2(subgroupPartitionedOrNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
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data[invocation].i4.xyz = ivec3(subgroupPartitionedOrNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
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data[invocation].i4 = ivec4(subgroupPartitionedOrNV(lessThan(data[1].i4, ivec4(0)), ballot));
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data[invocation].i4.x = subgroupPartitionedXorNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedXorNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedXorNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedXorNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedXorNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedXorNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedXorNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedXorNV(data[3].u4, ballot);
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data[invocation].i4.x = int(subgroupPartitionedXorNV(data[0].i4.x < 0, ballot));
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data[invocation].i4.xy = ivec2(subgroupPartitionedXorNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
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data[invocation].i4.xyz = ivec3(subgroupPartitionedXorNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
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data[invocation].i4 = ivec4(subgroupPartitionedXorNV(lessThan(data[1].i4, ivec4(0)), ballot));
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data[invocation].f4.x = subgroupPartitionedInclusiveAddNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedInclusiveAddNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedInclusiveAddNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedInclusiveAddNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedInclusiveAddNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedInclusiveAddNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedInclusiveAddNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedInclusiveAddNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedInclusiveAddNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedInclusiveAddNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedInclusiveAddNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedInclusiveAddNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedInclusiveAddNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedInclusiveAddNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedInclusiveAddNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedInclusiveAddNV(data[3].d4, ballot);
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data[invocation].f4.x = subgroupPartitionedInclusiveMulNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedInclusiveMulNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedInclusiveMulNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedInclusiveMulNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedInclusiveMulNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedInclusiveMulNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedInclusiveMulNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedInclusiveMulNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedInclusiveMulNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedInclusiveMulNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedInclusiveMulNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedInclusiveMulNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedInclusiveMulNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedInclusiveMulNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedInclusiveMulNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedInclusiveMulNV(data[3].d4, ballot);
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data[invocation].f4.x = subgroupPartitionedInclusiveMinNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedInclusiveMinNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedInclusiveMinNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedInclusiveMinNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedInclusiveMinNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedInclusiveMinNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedInclusiveMinNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedInclusiveMinNV(data[3].i4, ballot);
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data[invocation].u4.x = subgroupPartitionedInclusiveMinNV(data[0].u4.x, ballot);
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data[invocation].u4.xy = subgroupPartitionedInclusiveMinNV(data[1].u4.xy, ballot);
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data[invocation].u4.xyz = subgroupPartitionedInclusiveMinNV(data[2].u4.xyz, ballot);
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data[invocation].u4 = subgroupPartitionedInclusiveMinNV(data[3].u4, ballot);
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data[invocation].d4.x = subgroupPartitionedInclusiveMinNV(data[0].d4.x, ballot);
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data[invocation].d4.xy = subgroupPartitionedInclusiveMinNV(data[1].d4.xy, ballot);
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data[invocation].d4.xyz = subgroupPartitionedInclusiveMinNV(data[2].d4.xyz, ballot);
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data[invocation].d4 = subgroupPartitionedInclusiveMinNV(data[3].d4, ballot);
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data[invocation].f4.x = subgroupPartitionedInclusiveMaxNV(data[0].f4.x, ballot);
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data[invocation].f4.xy = subgroupPartitionedInclusiveMaxNV(data[1].f4.xy, ballot);
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data[invocation].f4.xyz = subgroupPartitionedInclusiveMaxNV(data[2].f4.xyz, ballot);
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data[invocation].f4 = subgroupPartitionedInclusiveMaxNV(data[3].f4, ballot);
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data[invocation].i4.x = subgroupPartitionedInclusiveMaxNV(data[0].i4.x, ballot);
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data[invocation].i4.xy = subgroupPartitionedInclusiveMaxNV(data[1].i4.xy, ballot);
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data[invocation].i4.xyz = subgroupPartitionedInclusiveMaxNV(data[2].i4.xyz, ballot);
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data[invocation].i4 = subgroupPartitionedInclusiveMaxNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedInclusiveMaxNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedInclusiveMaxNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedInclusiveMaxNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedInclusiveMaxNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].d4.x = subgroupPartitionedInclusiveMaxNV(data[0].d4.x, ballot);
|
||
|
|
data[invocation].d4.xy = subgroupPartitionedInclusiveMaxNV(data[1].d4.xy, ballot);
|
||
|
|
data[invocation].d4.xyz = subgroupPartitionedInclusiveMaxNV(data[2].d4.xyz, ballot);
|
||
|
|
data[invocation].d4 = subgroupPartitionedInclusiveMaxNV(data[3].d4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedInclusiveAndNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedInclusiveAndNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedInclusiveAndNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedInclusiveAndNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedInclusiveAndNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedInclusiveAndNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedInclusiveAndNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedInclusiveAndNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = int(subgroupPartitionedInclusiveAndNV(data[0].i4.x < 0, ballot));
|
||
|
|
data[invocation].i4.xy = ivec2(subgroupPartitionedInclusiveAndNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
|
||
|
|
data[invocation].i4.xyz = ivec3(subgroupPartitionedInclusiveAndNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
|
||
|
|
data[invocation].i4 = ivec4(subgroupPartitionedInclusiveAndNV(lessThan(data[1].i4, ivec4(0)), ballot));
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedInclusiveOrNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedInclusiveOrNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedInclusiveOrNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedInclusiveOrNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedInclusiveOrNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedInclusiveOrNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedInclusiveOrNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedInclusiveOrNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = int(subgroupPartitionedInclusiveOrNV(data[0].i4.x < 0, ballot));
|
||
|
|
data[invocation].i4.xy = ivec2(subgroupPartitionedInclusiveOrNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
|
||
|
|
data[invocation].i4.xyz = ivec3(subgroupPartitionedInclusiveOrNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
|
||
|
|
data[invocation].i4 = ivec4(subgroupPartitionedInclusiveOrNV(lessThan(data[1].i4, ivec4(0)), ballot));
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedInclusiveXorNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedInclusiveXorNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedInclusiveXorNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedInclusiveXorNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedInclusiveXorNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedInclusiveXorNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedInclusiveXorNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedInclusiveXorNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = int(subgroupPartitionedInclusiveXorNV(data[0].i4.x < 0, ballot));
|
||
|
|
data[invocation].i4.xy = ivec2(subgroupPartitionedInclusiveXorNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
|
||
|
|
data[invocation].i4.xyz = ivec3(subgroupPartitionedInclusiveXorNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
|
||
|
|
data[invocation].i4 = ivec4(subgroupPartitionedInclusiveXorNV(lessThan(data[1].i4, ivec4(0)), ballot));
|
||
|
|
|
||
|
|
data[invocation].f4.x = subgroupPartitionedExclusiveAddNV(data[0].f4.x, ballot);
|
||
|
|
data[invocation].f4.xy = subgroupPartitionedExclusiveAddNV(data[1].f4.xy, ballot);
|
||
|
|
data[invocation].f4.xyz = subgroupPartitionedExclusiveAddNV(data[2].f4.xyz, ballot);
|
||
|
|
data[invocation].f4 = subgroupPartitionedExclusiveAddNV(data[3].f4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveAddNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveAddNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveAddNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveAddNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveAddNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveAddNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveAddNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveAddNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].d4.x = subgroupPartitionedExclusiveAddNV(data[0].d4.x, ballot);
|
||
|
|
data[invocation].d4.xy = subgroupPartitionedExclusiveAddNV(data[1].d4.xy, ballot);
|
||
|
|
data[invocation].d4.xyz = subgroupPartitionedExclusiveAddNV(data[2].d4.xyz, ballot);
|
||
|
|
data[invocation].d4 = subgroupPartitionedExclusiveAddNV(data[3].d4, ballot);
|
||
|
|
|
||
|
|
data[invocation].f4.x = subgroupPartitionedExclusiveMulNV(data[0].f4.x, ballot);
|
||
|
|
data[invocation].f4.xy = subgroupPartitionedExclusiveMulNV(data[1].f4.xy, ballot);
|
||
|
|
data[invocation].f4.xyz = subgroupPartitionedExclusiveMulNV(data[2].f4.xyz, ballot);
|
||
|
|
data[invocation].f4 = subgroupPartitionedExclusiveMulNV(data[3].f4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveMulNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveMulNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveMulNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveMulNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveMulNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveMulNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveMulNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveMulNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].d4.x = subgroupPartitionedExclusiveMulNV(data[0].d4.x, ballot);
|
||
|
|
data[invocation].d4.xy = subgroupPartitionedExclusiveMulNV(data[1].d4.xy, ballot);
|
||
|
|
data[invocation].d4.xyz = subgroupPartitionedExclusiveMulNV(data[2].d4.xyz, ballot);
|
||
|
|
data[invocation].d4 = subgroupPartitionedExclusiveMulNV(data[3].d4, ballot);
|
||
|
|
|
||
|
|
data[invocation].f4.x = subgroupPartitionedExclusiveMinNV(data[0].f4.x, ballot);
|
||
|
|
data[invocation].f4.xy = subgroupPartitionedExclusiveMinNV(data[1].f4.xy, ballot);
|
||
|
|
data[invocation].f4.xyz = subgroupPartitionedExclusiveMinNV(data[2].f4.xyz, ballot);
|
||
|
|
data[invocation].f4 = subgroupPartitionedExclusiveMinNV(data[3].f4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveMinNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveMinNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveMinNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveMinNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveMinNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveMinNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveMinNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveMinNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].d4.x = subgroupPartitionedExclusiveMinNV(data[0].d4.x, ballot);
|
||
|
|
data[invocation].d4.xy = subgroupPartitionedExclusiveMinNV(data[1].d4.xy, ballot);
|
||
|
|
data[invocation].d4.xyz = subgroupPartitionedExclusiveMinNV(data[2].d4.xyz, ballot);
|
||
|
|
data[invocation].d4 = subgroupPartitionedExclusiveMinNV(data[3].d4, ballot);
|
||
|
|
|
||
|
|
data[invocation].f4.x = subgroupPartitionedExclusiveMaxNV(data[0].f4.x, ballot);
|
||
|
|
data[invocation].f4.xy = subgroupPartitionedExclusiveMaxNV(data[1].f4.xy, ballot);
|
||
|
|
data[invocation].f4.xyz = subgroupPartitionedExclusiveMaxNV(data[2].f4.xyz, ballot);
|
||
|
|
data[invocation].f4 = subgroupPartitionedExclusiveMaxNV(data[3].f4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveMaxNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveMaxNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveMaxNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveMaxNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveMaxNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveMaxNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveMaxNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveMaxNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].d4.x = subgroupPartitionedExclusiveMaxNV(data[0].d4.x, ballot);
|
||
|
|
data[invocation].d4.xy = subgroupPartitionedExclusiveMaxNV(data[1].d4.xy, ballot);
|
||
|
|
data[invocation].d4.xyz = subgroupPartitionedExclusiveMaxNV(data[2].d4.xyz, ballot);
|
||
|
|
data[invocation].d4 = subgroupPartitionedExclusiveMaxNV(data[3].d4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveAndNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveAndNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveAndNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveAndNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveAndNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveAndNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveAndNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveAndNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = int(subgroupPartitionedExclusiveAndNV(data[0].i4.x < 0, ballot));
|
||
|
|
data[invocation].i4.xy = ivec2(subgroupPartitionedExclusiveAndNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
|
||
|
|
data[invocation].i4.xyz = ivec3(subgroupPartitionedExclusiveAndNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
|
||
|
|
data[invocation].i4 = ivec4(subgroupPartitionedExclusiveAndNV(lessThan(data[1].i4, ivec4(0)), ballot));
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveOrNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveOrNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveOrNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveOrNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveOrNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveOrNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveOrNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveOrNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = int(subgroupPartitionedExclusiveOrNV(data[0].i4.x < 0, ballot));
|
||
|
|
data[invocation].i4.xy = ivec2(subgroupPartitionedExclusiveOrNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
|
||
|
|
data[invocation].i4.xyz = ivec3(subgroupPartitionedExclusiveOrNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
|
||
|
|
data[invocation].i4 = ivec4(subgroupPartitionedExclusiveOrNV(lessThan(data[1].i4, ivec4(0)), ballot));
|
||
|
|
|
||
|
|
data[invocation].i4.x = subgroupPartitionedExclusiveXorNV(data[0].i4.x, ballot);
|
||
|
|
data[invocation].i4.xy = subgroupPartitionedExclusiveXorNV(data[1].i4.xy, ballot);
|
||
|
|
data[invocation].i4.xyz = subgroupPartitionedExclusiveXorNV(data[2].i4.xyz, ballot);
|
||
|
|
data[invocation].i4 = subgroupPartitionedExclusiveXorNV(data[3].i4, ballot);
|
||
|
|
|
||
|
|
data[invocation].u4.x = subgroupPartitionedExclusiveXorNV(data[0].u4.x, ballot);
|
||
|
|
data[invocation].u4.xy = subgroupPartitionedExclusiveXorNV(data[1].u4.xy, ballot);
|
||
|
|
data[invocation].u4.xyz = subgroupPartitionedExclusiveXorNV(data[2].u4.xyz, ballot);
|
||
|
|
data[invocation].u4 = subgroupPartitionedExclusiveXorNV(data[3].u4, ballot);
|
||
|
|
|
||
|
|
data[invocation].i4.x = int(subgroupPartitionedExclusiveXorNV(data[0].i4.x < 0, ballot));
|
||
|
|
data[invocation].i4.xy = ivec2(subgroupPartitionedExclusiveXorNV(lessThan(data[1].i4.xy, ivec2(0)), ballot));
|
||
|
|
data[invocation].i4.xyz = ivec3(subgroupPartitionedExclusiveXorNV(lessThan(data[1].i4.xyz, ivec3(0)), ballot));
|
||
|
|
data[invocation].i4 = ivec4(subgroupPartitionedExclusiveXorNV(lessThan(data[1].i4, ivec4(0)), ballot));
|
||
|
|
}
|