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#include "stdafx.h"
#include "mulMat.h"
#include "mulMatImpl.h"
using namespace CpuCompute;
namespace
{
template<uint8_t panelHeightRegs, uint8_t tileWidthFloats>
static HRESULT mulMatImpl( Tensor& result, const Tensor& a, const Tensor& b, ParallelForRunner& pfor )
{
MulMatImpl<panelHeightRegs, tileWidthFloats> impl{ result, a, b, pfor };
return impl.run( pfor );
}
}
HRESULT CpuCompute::mulMat( Tensor& result, const Tensor& a, const Tensor& b, ParallelForRunner& pfor )
{
if( a.type() != eDataType::FP16 )
return E_NOTIMPL;
if( b.type() != eDataType::FP32 )
return E_NOTIMPL;
// return mulMatImpl<1, 1>( result, a, b, pfor );
if( b.ne[ 1 ] == 1 )
{
// Multiplying by a single row
if( a.ne[ 1 ] >= 32 )
return mulMatImpl<4, 1>( result, a, b, pfor );
else
return mulMatImpl<1, 1>( result, a, b, pfor );
}
else if( b.ne[ 1 ] == 2 )
{
if( a.ne[ 1 ] >= 32 )
return mulMatImpl<4, 2>( result, a, b, pfor );
else
return mulMatImpl<1, 2>( result, a, b, pfor );
}
else if( b.ne[ 1 ] == 3 )
{
if( a.ne[ 1 ] >= 16 )
return mulMatImpl<2, 3>( result, a, b, pfor );
else
return mulMatImpl<1, 3>( result, a, b, pfor );
}
else
{
if( a.ne[ 1 ] >= 16 )
return mulMatImpl<2, 4>( result, a, b, pfor );
else
return mulMatImpl<1, 4>( result, a, b, pfor );
}
}
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