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authorKonstantin <const@const.me>2023-01-16 14:52:43 +0100
committerKonstantin <const@const.me>2023-01-16 14:52:43 +0100
commit8c4603c73675958efc960fbd4bb599a2909d106a (patch)
tree714dc6fc9a1672d5fd7f89676b97e10959662abc /ComputeShaders/normFixed.hlsl
parent990a8d0dbaefc996244097397259e92758b15cce (diff)
Source codes
Diffstat (limited to 'ComputeShaders/normFixed.hlsl')
-rw-r--r--ComputeShaders/normFixed.hlsl124
1 files changed, 124 insertions, 0 deletions
diff --git a/ComputeShaders/normFixed.hlsl b/ComputeShaders/normFixed.hlsl
new file mode 100644
index 0000000..8f2267f
--- /dev/null
+++ b/ComputeShaders/normFixed.hlsl
@@ -0,0 +1,124 @@
+// Ported from ggml_compute_forward_norm_f32
+// Dispatch [ ne01, ne02, ne03 ] thread groups of this shader
+Buffer<float> arg0: register( t0 );
+RWBuffer<float> result: register( u0 );
+
+cbuffer Constants: register( b0 )
+{
+ uint4 src0_elements: packoffset( c0 );
+ uint4 src0_strides: packoffset( c1 );
+ uint4 result_strides: packoffset( c3 );
+}
+
+static const float eps = 1e-5f; // TODO: make this a parameter
+
+// #include "groupReduce.hlsli"
+
+#ifndef THREADS
+static const uint THREADS = 32;
+#endif
+static const uint ROW_LENGTH = 1024;
+groupshared float rowBuffer[ ROW_LENGTH ];
+
+static const uint REDUCTION_BUFFER = 32;
+groupshared float sharedAccumulators[ REDUCTION_BUFFER ];
+
+// Compute horisontal sum of the numbers. The result is only correct on the thread #0 of the group.
+void horizontalSum( const uint thread, inout float sum )
+{
+ if( THREADS > REDUCTION_BUFFER )
+ {
+ for( uint t = REDUCTION_BUFFER; t < THREADS; t += REDUCTION_BUFFER )
+ {
+ // Threads [ t .. t + REDUCTION_BUFFER ] store into the buffer
+ if( thread >= t && thread < t + REDUCTION_BUFFER )
+ sharedAccumulators[ thread - t ] = sum;
+
+ GroupMemoryBarrierWithGroupSync();
+
+ // Threads [ 0 .. REDUCTION_BUFFER ] increment their local sum with the value loaded from the buffer
+ if( thread < REDUCTION_BUFFER )
+ sum += sharedAccumulators[ thread ];
+ }
+ }
+
+ if( thread < REDUCTION_BUFFER )
+ sharedAccumulators[ thread ] = sum;
+
+ for( uint i = REDUCTION_BUFFER / 2; i > 1; i /= 2 )
+ {
+ GroupMemoryBarrierWithGroupSync();
+ if( thread < i )
+ {
+ sum += sharedAccumulators[ thread + i ];
+ sharedAccumulators[ thread ] = sum;
+ }
+ }
+
+ GroupMemoryBarrierWithGroupSync();
+ if( 0 == thread )
+ sum += sharedAccumulators[ 1 ];
+}
+
+[ numthreads( THREADS, 1, 1 ) ]
+void main( uint3 group: SV_GroupID, uint thread : SV_GroupIndex )
+{
+ const uint i03 = group.z;
+ const uint i02 = group.y;
+ const uint i01 = group.x;
+ const uint ne00 = ROW_LENGTH;
+
+ // First pass: copy the data to local buffer, and compute sum
+ {
+ const uint nb01 = src0_strides[ 1 ];
+ const uint nb02 = src0_strides[ 2 ];
+ const uint nb03 = src0_strides[ 3 ];
+ const uint p = i01 * nb01 + i02 * nb02 + i03 * nb03;
+
+ float sum = 0;
+ for( uint i = thread; i < ne00; i += THREADS )
+ {
+ float f = arg0[ p + i ];
+ rowBuffer[ i ] = f;
+ sum += f;
+ }
+ horizontalSum( thread, sum );
+ if( 0 == thread )
+ sharedAccumulators[ 0 ] = sum / (float)(int)ne00;
+ GroupMemoryBarrierWithGroupSync();
+ }
+
+ // Second pass: offset and compute sum of squares
+ {
+ const float mean = sharedAccumulators[ 0 ];
+ float sum2 = 0;
+ for( uint i = thread; i < ne00; i += THREADS )
+ {
+ float v = rowBuffer[ i ];
+ v -= mean;
+ rowBuffer[ i ] = v;
+ sum2 = mad( v, v, sum2 );
+ }
+ horizontalSum( thread, sum2 );
+ if( 0 == thread )
+ sharedAccumulators[ 0 ] = 1.0 / sqrt( sum2 / (float)(int)ne00 + eps );
+ GroupMemoryBarrierWithGroupSync();
+ }
+
+ // Final pass: apply the scale, and copy from group shared buffer to the destination
+ {
+ const float scale = sharedAccumulators[ 0 ];
+
+ const uint nb1 = result_strides[ 1 ];
+ const uint nb2 = result_strides[ 2 ];
+ const uint nb3 = result_strides[ 3 ];
+ const uint y = i01 * nb1 + i02 * nb2 + i03 * nb3;
+
+ for( uint i = thread; i < ne00; i += THREADS )
+ {
+ float v = rowBuffer[ i ];
+ v *= scale;
+ result[ y + i ] = v;
+ }
+ }
+} \ No newline at end of file