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#pragma once
#include "../D3D/downloadBuffer.h"
#include "../D3D/RenderDoc/renderDoc.h"
#include <unordered_set>
#include <functional>
// Funfact: this code written by ChatGPT
namespace std
{
template<>
struct hash<array<uint32_t, 8>>
{
size_t operator()( const array<uint32_t, 8>& arr ) const
{
size_t result = 0;
for( uint32_t element : arr )
result = ( result * 31 ) ^ element;
return result;
}
};
}
namespace DirectCompute
{
struct sTensorDiff
{
// maximum( absolute( a - b ) )
float maxAbsDiff;
// average( ( a - b )^2 )
float avgDiffSquared;
size_t length;
void print() const;
void print( const char* what ) const;
};
// Compute difference between 2 FP32 vectors
sTensorDiff computeDiff( const float* a, const float* b, size_t length );
// Compute difference between 2 FP16 vectors
sTensorDiff computeDiff( const uint16_t* a, const uint16_t* b, size_t length );
class Tensor;
sTensorDiff computeDiff( const Tensor& a, const Tensor& b );
HRESULT dbgWriteBinaryFile( LPCTSTR fileName, const void* rsi, size_t cb );
// Print unique sizes of the two tensors
class PrintUniqueTensorSizes
{
std::unordered_set<std::array<uint32_t, 8>> set;
const char* const what;
void printImpl( const std::array<uint32_t, 8>& a );
public:
PrintUniqueTensorSizes( const char* w ) : what( w ) { }
void print( const Tensor& lhs, const Tensor& rhs );
void print( const Tensor& lhs );
void print( const int* lhs, const int* rhs );
};
}
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