mirror of
https://github.com/KhronosGroup/glslang
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256 lines
14 KiB
Plaintext
256 lines
14 KiB
Plaintext
#version 450
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#extension GL_KHR_shader_subgroup_clustered: enable
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#extension GL_EXT_shader_subgroup_extended_types_int8: enable
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#extension GL_EXT_shader_subgroup_extended_types_int16: enable
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#extension GL_EXT_shader_subgroup_extended_types_int64: enable
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#extension GL_EXT_shader_subgroup_extended_types_float16: 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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i8vec4 i8;
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u8vec4 u8;
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i16vec4 i16;
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u16vec4 u16;
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i64vec4 i64;
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u64vec4 u64;
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f16vec4 f16;
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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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data[invocation].i8.x = subgroupClusteredAdd(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredAdd(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredAdd(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredAdd(data[3].i8, 1);
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data[invocation].i8.x = subgroupClusteredMul(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredMul(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredMul(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredMul(data[3].i8, 1);
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data[invocation].i8.x = subgroupClusteredMin(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredMin(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredMin(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredMin(data[3].i8, 1);
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data[invocation].i8.x = subgroupClusteredMax(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredMax(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredMax(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredMax(data[3].i8, 1);
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data[invocation].i8.x = subgroupClusteredAnd(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredAnd(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredAnd(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredAnd(data[3].i8, 1);
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data[invocation].i8.x = subgroupClusteredOr(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredOr(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredOr(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredOr(data[3].i8, 1);
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data[invocation].i8.x = subgroupClusteredXor(data[0].i8.x, 1);
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data[invocation].i8.xy = subgroupClusteredXor(data[1].i8.xy, 1);
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data[invocation].i8.xyz = subgroupClusteredXor(data[2].i8.xyz, 1);
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data[invocation].i8 = subgroupClusteredXor(data[3].i8, 1);
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data[invocation].u8.x = subgroupClusteredAdd(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredAdd(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredAdd(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredAdd(data[3].u8, 1);
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data[invocation].u8.x = subgroupClusteredMul(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredMul(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredMul(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredMul(data[3].u8, 1);
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data[invocation].u8.x = subgroupClusteredMin(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredMin(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredMin(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredMin(data[3].u8, 1);
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data[invocation].u8.x = subgroupClusteredMax(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredMax(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredMax(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredMax(data[3].u8, 1);
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data[invocation].u8.x = subgroupClusteredAnd(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredAnd(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredAnd(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredAnd(data[3].u8, 1);
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data[invocation].u8.x = subgroupClusteredOr(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredOr(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredOr(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredOr(data[3].u8, 1);
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data[invocation].u8.x = subgroupClusteredXor(data[0].u8.x, 1);
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data[invocation].u8.xy = subgroupClusteredXor(data[1].u8.xy, 1);
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data[invocation].u8.xyz = subgroupClusteredXor(data[2].u8.xyz, 1);
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data[invocation].u8 = subgroupClusteredXor(data[3].u8, 1);
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data[invocation].i16.x = subgroupClusteredAdd(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredAdd(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredAdd(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredAdd(data[3].i16, 1);
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data[invocation].i16.x = subgroupClusteredMul(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredMul(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredMul(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredMul(data[3].i16, 1);
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data[invocation].i16.x = subgroupClusteredMin(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredMin(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredMin(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredMin(data[3].i16, 1);
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data[invocation].i16.x = subgroupClusteredMax(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredMax(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredMax(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredMax(data[3].i16, 1);
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data[invocation].i16.x = subgroupClusteredAnd(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredAnd(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredAnd(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredAnd(data[3].i16, 1);
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data[invocation].i16.x = subgroupClusteredOr(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredOr(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredOr(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredOr(data[3].i16, 1);
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data[invocation].i16.x = subgroupClusteredXor(data[0].i16.x, 1);
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data[invocation].i16.xy = subgroupClusteredXor(data[1].i16.xy, 1);
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data[invocation].i16.xyz = subgroupClusteredXor(data[2].i16.xyz, 1);
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data[invocation].i16 = subgroupClusteredXor(data[3].i16, 1);
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data[invocation].u16.x = subgroupClusteredAdd(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredAdd(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredAdd(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredAdd(data[3].u16, 1);
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data[invocation].u16.x = subgroupClusteredMul(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredMul(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredMul(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredMul(data[3].u16, 1);
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data[invocation].u16.x = subgroupClusteredMin(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredMin(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredMin(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredMin(data[3].u16, 1);
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data[invocation].u16.x = subgroupClusteredMax(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredMax(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredMax(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredMax(data[3].u16, 1);
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data[invocation].u16.x = subgroupClusteredAnd(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredAnd(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredAnd(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredAnd(data[3].u16, 1);
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data[invocation].u16.x = subgroupClusteredOr(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredOr(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredOr(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredOr(data[3].u16, 1);
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data[invocation].u16.x = subgroupClusteredXor(data[0].u16.x, 1);
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data[invocation].u16.xy = subgroupClusteredXor(data[1].u16.xy, 1);
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data[invocation].u16.xyz = subgroupClusteredXor(data[2].u16.xyz, 1);
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data[invocation].u16 = subgroupClusteredXor(data[3].u16, 1);
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data[invocation].i64.x = subgroupClusteredAdd(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredAdd(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredAdd(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredAdd(data[3].i64, 1);
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data[invocation].i64.x = subgroupClusteredMul(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredMul(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredMul(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredMul(data[3].i64, 1);
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data[invocation].i64.x = subgroupClusteredMin(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredMin(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredMin(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredMin(data[3].i64, 1);
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data[invocation].i64.x = subgroupClusteredMax(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredMax(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredMax(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredMax(data[3].i64, 1);
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data[invocation].i64.x = subgroupClusteredAnd(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredAnd(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredAnd(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredAnd(data[3].i64, 1);
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data[invocation].i64.x = subgroupClusteredOr(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredOr(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredOr(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredOr(data[3].i64, 1);
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data[invocation].i64.x = subgroupClusteredXor(data[0].i64.x, 1);
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data[invocation].i64.xy = subgroupClusteredXor(data[1].i64.xy, 1);
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data[invocation].i64.xyz = subgroupClusteredXor(data[2].i64.xyz, 1);
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data[invocation].i64 = subgroupClusteredXor(data[3].i64, 1);
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data[invocation].u64.x = subgroupClusteredAdd(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredAdd(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredAdd(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredAdd(data[3].u64, 1);
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data[invocation].u64.x = subgroupClusteredMul(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredMul(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredMul(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredMul(data[3].u64, 1);
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data[invocation].u64.x = subgroupClusteredMin(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredMin(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredMin(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredMin(data[3].u64, 1);
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data[invocation].u64.x = subgroupClusteredMax(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredMax(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredMax(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredMax(data[3].u64, 1);
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data[invocation].u64.x = subgroupClusteredAnd(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredAnd(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredAnd(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredAnd(data[3].u64, 1);
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data[invocation].u64.x = subgroupClusteredOr(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredOr(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredOr(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredOr(data[3].u64, 1);
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data[invocation].u64.x = subgroupClusteredXor(data[0].u64.x, 1);
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data[invocation].u64.xy = subgroupClusteredXor(data[1].u64.xy, 1);
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data[invocation].u64.xyz = subgroupClusteredXor(data[2].u64.xyz, 1);
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data[invocation].u64 = subgroupClusteredXor(data[3].u64, 1);
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data[invocation].f16.x = subgroupClusteredAdd(data[0].f16.x, 1);
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data[invocation].f16.xy = subgroupClusteredAdd(data[1].f16.xy, 1);
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data[invocation].f16.xyz = subgroupClusteredAdd(data[2].f16.xyz, 1);
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data[invocation].f16 = subgroupClusteredAdd(data[3].f16, 1);
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data[invocation].f16.x = subgroupClusteredMul(data[0].f16.x, 1);
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data[invocation].f16.xy = subgroupClusteredMul(data[1].f16.xy, 1);
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data[invocation].f16.xyz = subgroupClusteredMul(data[2].f16.xyz, 1);
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data[invocation].f16 = subgroupClusteredMul(data[3].f16, 1);
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data[invocation].f16.x = subgroupClusteredMin(data[0].f16.x, 1);
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data[invocation].f16.xy = subgroupClusteredMin(data[1].f16.xy, 1);
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data[invocation].f16.xyz = subgroupClusteredMin(data[2].f16.xyz, 1);
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data[invocation].f16 = subgroupClusteredMin(data[3].f16, 1);
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data[invocation].f16.x = subgroupClusteredMax(data[0].f16.x, 1);
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data[invocation].f16.xy = subgroupClusteredMax(data[1].f16.xy, 1);
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data[invocation].f16.xyz = subgroupClusteredMax(data[2].f16.xyz, 1);
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data[invocation].f16 = subgroupClusteredMax(data[3].f16, 1);
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}
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