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73 lines
2.5 KiB
HLSL
73 lines
2.5 KiB
HLSL
//VERTICAL FILTER ONLY
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//--------------------------------------------------------------------------------------
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// File: FilterCS.hlsl
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//
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// The CSs for doing vertical and horizontal blur, used in CS path of
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// HDRToneMappingCS11 sample
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//
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// Copyright (c) Microsoft Corporation. All rights reserved.
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//--------------------------------------------------------------------------------------
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StructuredBuffer<float4> InputBuf : register( t0 );
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Texture2D InputTex : register( t1 );
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RWStructuredBuffer<float4> Result : register( u0 );
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cbuffer cb0
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{
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float4 g_avSampleWeights[15];
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int2 g_outputsize;
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int2 g_inputsize;
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}
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#define kernelhalf 7
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#define groupthreads 128
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groupshared float4 temp[groupthreads];
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[numthreads( groupthreads, 1, 1 )]
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void main( uint3 Gid : SV_GroupID, uint GI : SV_GroupIndex )
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{
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int offsety = GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.y;
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offsety = clamp( offsety, 0, g_inputsize.y-1 );
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int offset = Gid.x + offsety * g_inputsize.x;
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temp[GI] = InputBuf[offset];
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GroupMemoryBarrierWithGroupSync();
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// Vertical blur
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if ( GI >= kernelhalf &&
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GI < (groupthreads - kernelhalf) &&
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( (GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.y) < (uint)g_outputsize.y) )
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{
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float4 vOut = 0;
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[unroll]
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for ( int i = -kernelhalf; i <= kernelhalf; ++i )
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vOut += temp[GI + i] * g_avSampleWeights[i + kernelhalf];
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Result[Gid.x + (GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.y) * g_outputsize.x] = float4(vOut.rgb, 1.0f);
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}
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}
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//[numthreads( groupthreads, 1, 1 )]
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//void CSHorizFilter( uint3 Gid : SV_GroupID, uint GI : SV_GroupIndex )
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//{
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// int2 coord = int2( GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.x, Gid.y );
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// coord = clamp( coord, int2(0, 0), int2(g_inputsize.x-1, g_inputsize.y-1) );
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// temp[GI] = InputTex.Load( int3(coord, 0) );
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//
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// GroupMemoryBarrierWithGroupSync();
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//
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// // Horizontal blur
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// if ( GI >= kernelhalf &&
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// GI < (groupthreads - kernelhalf) &&
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// ( (Gid.x * (groupthreads - 2 * kernelhalf) + GI - kernelhalf) < g_outputsize.x) )
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// {
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// float4 vOut = 0;
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//
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// [unroll]
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// for ( int i = -kernelhalf; i <= kernelhalf; ++i )
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// vOut += temp[GI + i] * g_avSampleWeights[i + kernelhalf];
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//
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// Result[GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.x + Gid.y * g_outputsize.x] = float4(vOut.rgb, 1.0f);
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// }
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//}
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