diff options
| author | Konstantin <const@const.me> | 2023-01-16 14:52:43 +0100 |
|---|---|---|
| committer | Konstantin <const@const.me> | 2023-01-16 14:52:43 +0100 |
| commit | 8c4603c73675958efc960fbd4bb599a2909d106a (patch) | |
| tree | 714dc6fc9a1672d5fd7f89676b97e10959662abc /ComputeShaders/mulMatByRowTiledEx.hlsl | |
| parent | 990a8d0dbaefc996244097397259e92758b15cce (diff) | |
Source codes
Diffstat (limited to 'ComputeShaders/mulMatByRowTiledEx.hlsl')
| -rw-r--r-- | ComputeShaders/mulMatByRowTiledEx.hlsl | 156 |
1 files changed, 156 insertions, 0 deletions
diff --git a/ComputeShaders/mulMatByRowTiledEx.hlsl b/ComputeShaders/mulMatByRowTiledEx.hlsl new file mode 100644 index 0000000..d377b8c --- /dev/null +++ b/ComputeShaders/mulMatByRowTiledEx.hlsl @@ -0,0 +1,156 @@ +// matrix*row vector product, needs first argument reshaped into a sequence of horizontal column major panels +#ifndef TILE_SIZE +static const uint TILE_SIZE = 32; +#endif +#ifndef TILE_HEIGHT +static const uint TILE_HEIGHT = 32; +#endif +#ifndef THREADS_Y +static const uint THREADS_Y = 16; +#endif + +// First tensor, reshaped into dense column major horizontal panels of size [ width, TILE_SIZE ] +Buffer<float> arg0: register( t0 ); +// Second tensor, reshaped into dense column major horizontal panels of size [ width, TILE_SIZE ] +Buffer<float> arg1: register( t1 ); +// FP32 output tensor, row major and continuous +RWBuffer<float> result: register( u0 ); + +cbuffer Constants: register( b0 ) +{ + uint4 arg0Size: packoffset( c0 ); + uint arg0panel: packoffset( c1.y ); + uint2 arg0LayerStrides: packoffset( c1.z ); + // uint4 arg1Size: packoffset( c2 ); + uint4 arg1Strides: packoffset( c3 ); + uint4 resultSize: packoffset( c4 ); + uint4 resultStrides: packoffset( c5 ); +} + +groupshared float tileOutput[ THREADS_Y ][ TILE_SIZE ]; +groupshared float tile0[ TILE_HEIGHT ][ TILE_SIZE ]; +groupshared float tile1[ TILE_HEIGHT ]; + +void multiplyTiles( const uint3 thread ) +{ + float r = 0.0; + for( uint i = thread.y; i < TILE_HEIGHT; i += THREADS_Y ) + { + float a = tile0[ i ][ thread.x ]; + float b = tile1[ i ]; + r = mad( a, b, r ); + } + tileOutput[ thread.y ][ thread.x ] += r; +} + +void reduceOutput( const uint3 thread ) +{ + float curr = 0.0; + [branch] + if( thread.y < THREADS_Y / 2 ) + curr = tileOutput[ thread.y ][ thread.x ]; + + for( uint i = THREADS_Y / 2; i > 0; i /= 2 ) + { + [branch] + if( thread.y < i ) + { + curr += tileOutput[ thread.y + i ][ thread.x ]; + tileOutput[ thread.y ][ thread.x ] = curr; + } + GroupMemoryBarrierWithGroupSync(); + } +} + +void storeTile( const uint threadFlat, const uint4 pos, const uint size ) +{ + if( threadFlat >= size ) + return; + const uint4 prod4 = pos * resultStrides; + const uint2 prod2 = prod4.xy + prod4.zw; + uint rdi = prod2.x + prod2.y; + result[ rdi + threadFlat ] = tileOutput[ 0 ][ threadFlat ]; +} + +[ numthreads( TILE_SIZE, THREADS_Y, 1 ) ] +void main( const uint3 group: SV_GroupID, const uint3 thread : SV_GroupThreadID, uint threadFlat : SV_GroupIndex ) +{ + uint i; + // Zero all 3 shared buffers + tileOutput[ thread.y ][ thread.x ] = 0.0; + for( i = thread.y; i < TILE_HEIGHT; i += THREADS_Y ) + tile0[ i ][ thread.x ] = 0.0; + if( threadFlat < THREADS_Y ) + tile1[ threadFlat ] = 0.0; + + const uint2 layer = group.yz; + uint rsi0 = group.x * arg0panel + layer.x * arg0LayerStrides.x + layer.y * arg0LayerStrides.y; + uint rsi1 = layer.x * arg1Strides.z + layer.y * arg1Strides.w; + + const uint threadOffset = thread.y * TILE_SIZE + thread.x; + rsi0 += threadOffset; + rsi1 += threadFlat * arg1Strides.x; + + const uint completeTiles = arg0Size.x / TILE_HEIGHT; + for( i = 0; i < completeTiles; i++ ) + { + // Load [ TILE_SIZE, TILE_HEIGHT ] block from the first source tensor into the groupshared buffer + for( uint j = thread.y; j < TILE_HEIGHT; j += THREADS_Y ) + { + tile0[ j ][ thread.x ] = arg0[ rsi0 ]; + rsi0 += THREADS_Y * TILE_SIZE; + } + // Load [ TILE_HEIGHT ] row from the second source into another groupshared buffer + [ branch ] + if( threadFlat < TILE_HEIGHT ) + tile1[ threadFlat ] = arg1[ rsi1 ]; + rsi1 += TILE_HEIGHT * arg1Strides.x; + + GroupMemoryBarrierWithGroupSync(); + + multiplyTiles( thread ); + + GroupMemoryBarrierWithGroupSync(); + } + + const uint rem = arg0Size.x % TILE_HEIGHT; + if( rem != 0 ) + { + for( uint j = thread.y; j < TILE_HEIGHT; j += THREADS_Y ) + { + float a; + [branch] + if( j < rem ) + { + a = arg0[ rsi0 ]; + rsi0 += THREADS_Y * TILE_SIZE; + } + else + a = 0.0; + tile0[ j ][ thread.x ] = a; + } + + if( threadFlat < TILE_HEIGHT ) + { + float b; + [branch] + if( threadFlat < rem ) + b = arg1[ rsi1 ]; + else + b = 0.0; + tile1[ threadFlat ] = b; + } + + GroupMemoryBarrierWithGroupSync(); + + multiplyTiles( thread ); + + GroupMemoryBarrierWithGroupSync(); + } + + reduceOutput( thread ); + + const uint resultPos = group.x * TILE_SIZE; + const uint outputSize = min( TILE_SIZE, resultSize.x - resultPos ); + storeTile( threadFlat, uint4( resultPos, 0, layer ), outputSize ); +}
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