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Fix errors and enable new cluster fit compressor.

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pull/216/head
castano@gmail.com 13 years ago
parent 035997bc2e
commit 23bfc1b514
11 changed files with 76 additions and 58 deletions
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1
project/vc9/nvconfig.h
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@ -17,5 +17,6 @@
#define HAVE_JPEG
#define HAVE_TIFF
#endif*/
#define HAVE_STBIMAGE
#endif // NV_CONFIG

8
project/vc9/nvimage/nvimage.vcproj
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@ -45,7 +45,7 @@
<Tool
Name="VCCLCompilerTool"
Optimization="0"
AdditionalIncludeDirectories="$(GnuWinDir)/include; $(FreeImageDir)"
AdditionalIncludeDirectories="..\..\..\extern\stb"
PreprocessorDefinitions="WIN32;_DEBUG;_LIB;__SSE2__;__SSE__;__MMX__"
MinimalRebuild="true"
BasicRuntimeChecks="3"
@ -109,7 +109,7 @@
<Tool
Name="VCCLCompilerTool"
Optimization="0"
AdditionalIncludeDirectories=""
AdditionalIncludeDirectories="..\..\..\extern\stb"
PreprocessorDefinitions="WIN32;_DEBUG;_LIB;__SSE2__;__SSE__;__MMX__"
MinimalRebuild="true"
BasicRuntimeChecks="3"
@ -177,7 +177,7 @@
EnableIntrinsicFunctions="true"
FavorSizeOrSpeed="0"
OmitFramePointers="true"
AdditionalIncludeDirectories="$(GnuWinDir)/include; $(FreeImageDir)"
AdditionalIncludeDirectories="..\..\..\extern\stb"
PreprocessorDefinitions="WIN32;NDEBUG;_LIB;__SSE2__;__SSE__;__MMX__"
StringPooling="true"
RuntimeLibrary="2"
@ -246,7 +246,7 @@
EnableIntrinsicFunctions="true"
OmitFramePointers="true"
WholeProgramOptimization="true"
AdditionalIncludeDirectories=""
AdditionalIncludeDirectories="..\..\..\extern\stb"
PreprocessorDefinitions="WIN32;NDEBUG;_LIB;__SSE2__;__SSE__;__MMX__"
StringPooling="true"
RuntimeLibrary="2"

4
project/vc9/squish/squish.vcproj
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@ -312,6 +312,10 @@
RelativePath="..\..\..\src\nvtt\squish\colourset.h"
>
</File>
<File
RelativePath="..\..\..\src\nvtt\squish\config.h"
>
</File>
<File
RelativePath="..\..\..\src\nvtt\squish\maths.cpp"
>

2
src/nvmath/Fitting.cpp
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@ -50,7 +50,7 @@ static inline Vector3 firstEigenVector_PowerMethod(const float *__restrict matri
v = Vector3(x, y, z) / norm;
}
return v;
return v;
}

13
src/nvmath/SimdVector.h
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@ -2,18 +2,29 @@
#include "Vector.h" // Vector3, Vector4
// Set some reasonable defaults.
#ifndef NV_USE_ALTIVEC
# define NV_USE_ALTIVEC NV_CPU_PPC
//# define NV_USE_ALTIVEC defined(__VEC__)
#endif
#ifndef NV_USE_SSE
# if NV_CPU_X86 || NV_CPU_X86_64
# define NV_USE_SSE 2
# endif
//# if defined(__SSE2__)
//# define NV_USE_SSE 2
//# elif defined(__SSE__)
//# define NV_USE_SSE 1
//# else
//# define NV_USE_SSE 0
//# endif
#endif
// Internally set NV_USE_SIMD when either altivec or sse is available.
#if NV_USE_ALTIVEC && NV_USE_SSE
# error "Cannot enable both altivec and sse!"
#endif
#if NV_USE_ALTIVEC
# include "SimdVector_VE.h"

6
src/nvmath/SimdVector_SSE.h
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@ -46,10 +46,10 @@ namespace nv {
explicit SimdVector(float f) : vec(_mm_set1_ps(f)) {}
explicit SimdVector(__m128 v) : vec(v) {}
explicit SimdVector(Vector4::Arg v)
/*explicit SimdVector(const Vector4 & v)
{
vec = _mm_load_ps( v.component );
}
vec = _mm_load_ps( v.components );
}*/
explicit SimdVector(const float * v)
{

71
src/nvtt/ClusterFit.cpp
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@ -83,6 +83,7 @@ void ClusterFit::setColourSet(const ColorSet * set)
m_xxsum = SimdVector( 0.0f );
m_xsum = SimdVector( 0.0f );
#else
m_xxsum = Vector3(0.0f);
m_xsum = Vector3(0.0f);
m_wsum = 0.0f;
#endif
@ -91,11 +92,12 @@ void ClusterFit::setColourSet(const ColorSet * set)
{
int p = order[i];
#if NVTT_USE_SIMD
m_weighted[i] = SimdVector(Vector4(set->weights[p] * values[p], set->weights[p]));
Vector4 tmp(values[p] * set->weights[p], set->weights[p]);
m_weighted[i] = SimdVector(tmp.component);
m_xxsum += m_weighted[i] * m_weighted[i];
m_xsum += m_weighted[i];
#else
m_weighted[i] = values[p];
m_weighted[i] = values[p] * set->weights[p];
m_xxsum += m_weighted[i] * m_weighted[i];
m_xsum += m_weighted[i];
m_weights[i] = set->weights[p];
@ -108,7 +110,8 @@ void ClusterFit::setColourSet(const ColorSet * set)
void ClusterFit::setMetric(Vector4::Arg w)
{
#if NVTT_USE_SIMD
m_metric = SimdVector(Vector4(w.xyz(), 1));
Vector4 tmp(w.xyz(), 1);
m_metric = SimdVector(tmp.component);
#else
m_metric = w.xyz();
#endif
@ -289,22 +292,22 @@ bool ClusterFit::compress4( Vector3 * start, Vector3 * end )
SimdVector e3 = negativeMultiplySubtract( b, betax_sum, e2 );
SimdVector e4 = multiplyAdd( two, e3, e1 );
// apply the metric to the error term
SimdVector e5 = e4 * m_metricSqr;
SimdVector error = e5.splatX() + e5.splatY() + e5.splatZ();
// keep the solution if it wins
if( compareAnyLessThan( error, besterror ) )
{
besterror = error;
beststart = a;
bestend = b;
b0 = c0;
b1 = c1;
b2 = c2;
}
x2 += m_weighted[c0+c1+c2];
// apply the metric to the error term
SimdVector e5 = e4 * m_metricSqr;
SimdVector error = e5.splatX() + e5.splatY() + e5.splatZ();
// keep the solution if it wins
if( compareAnyLessThan( error, besterror ) )
{
besterror = error;
beststart = a;
bestend = b;
b0 = c0;
b1 = c1;
b2 = c2;
}
x2 += m_weighted[c0+c1+c2];
}
x1 += m_weighted[c0+c1];
@ -333,9 +336,6 @@ bool ClusterFit::compress4( Vector3 * start, Vector3 * end )
bool ClusterFit::compress3(Vector3 * start, Vector3 * end)
{
const uint count = m_count;
const Vector3 one( 1.0f );
const Vector3 zero( 0.0f );
const Vector3 half( 0.5f );
const Vector3 grid( 31.0f, 63.0f, 31.0f );
const Vector3 gridrcp( 1.0f/31.0f, 1.0f/63.0f, 1.0f/31.0f );
@ -372,10 +372,10 @@ bool ClusterFit::compress3(Vector3 * start, Vector3 * end)
Vector3 b = (betax_sum*alpha2_sum - alphax_sum*alphabeta_sum) * factor;
// clamp to the grid
a = min(one, max(zero, a));
b = min(one, max(zero, b));
a = floor(grid * a + half) * gridrcp;
b = floor(grid * b + half) * gridrcp;
a = clamp(a, 0, 1);
b = clamp(b, 0, 1);
a = floor(grid * a + 0.5f) * gridrcp;
b = floor(grid * b + 0.5f) * gridrcp;
// compute the error
Vector3 e1 = a*a*alpha2_sum + b*b*beta2_sum + 2.0f*( a*b*alphabeta_sum - a*alphax_sum - b*betax_sum );
@ -420,9 +420,6 @@ bool ClusterFit::compress3(Vector3 * start, Vector3 * end)
bool ClusterFit::compress4(Vector3 * start, Vector3 * end)
{
const uint count = m_count;
Vector3 const one( 1.0f );
Vector3 const zero( 0.0f );
Vector3 const half( 0.5f );
Vector3 const grid( 31.0f, 63.0f, 31.0f );
Vector3 const gridrcp( 1.0f/31.0f, 1.0f/63.0f, 1.0f/31.0f );
@ -462,10 +459,10 @@ bool ClusterFit::compress4(Vector3 * start, Vector3 * end)
Vector3 b = ( betax_sum*alpha2_sum - alphax_sum*alphabeta_sum )*factor;
// clamp to the grid
a = min( one, max( zero, a ) );
b = min( one, max( zero, b ) );
a = floor( grid*a + half )*gridrcp;
b = floor( grid*b + half )*gridrcp;
a = clamp(a, 0, 1);
b = clamp(b, 0, 1);
a = floor(a * grid + 0.5f) * gridrcp;
b = floor(b * grid + 0.5f) * gridrcp;
// compute the error
Vector3 e1 = a*a*alpha2_sum + b*b*beta2_sum + 2.0f*( a*b*alphabeta_sum - a*alphax_sum - b*betax_sum );
@ -474,7 +471,7 @@ bool ClusterFit::compress4(Vector3 * start, Vector3 * end)
float error = dot( e1, m_metricSqr );
// keep the solution if it wins
if( error < besterror )
if (error < besterror)
{
besterror = error;
beststart = a;
@ -497,13 +494,13 @@ bool ClusterFit::compress4(Vector3 * start, Vector3 * end)
}
// save the block if necessary
if( besterror < m_besterror )
if (besterror < m_besterror)
{
*start = beststart;
*end = bestend;
// save the error
m_besterror = besterror;
// save the error
m_besterror = besterror;
return true;
}

6
src/nvtt/ClusterFit.h
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@ -27,11 +27,13 @@
#ifndef NVTT_CLUSTERFIT_H
#define NVTT_CLUSTERFIT_H
#define NVTT_USE_SIMD 0
#include "nvmath/SimdVector.h"
#include "nvmath/Vector.h"
// Use SIMD version if altivec or SSE are available.
//#define NVTT_USE_SIMD (NV_USE_ALTIVEC || NV_USE_SSE)
#define NVTT_USE_SIMD 0
namespace nv {
struct ColorSet;

2
src/nvtt/CompressorDX9.cpp
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@ -109,7 +109,7 @@ void FastCompressorDXT5n::compressBlock(ColorBlock & rgba, nvtt::AlphaMode alpha
QuickCompress::compressDXT5(rgba, block);
}
#if 0
#if 1
void NormalCompressorDXT1::compressBlock(ColorSet & set, nvtt::AlphaMode alphaMode, const nvtt::CompressionOptions::Private & compressionOptions, void * output)
{
set.setUniformWeights();

2
src/nvtt/CompressorDX9.h
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@ -64,7 +64,7 @@ namespace nv
// Normal CPU compressors.
#if 0
#if 1
struct NormalCompressorDXT1 : public ColorSetCompressor
{
virtual void compressBlock(ColorSet & set, nvtt::AlphaMode alphaMode, const nvtt::CompressionOptions::Private & compressionOptions, void * output);

19
src/nvtt/QuickCompressDXT.cpp
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@ -115,6 +115,7 @@ inline static void insetBBox(Vector3 * restrict maxColor, Vector3 * restrict min
*minColor = clamp(*minColor + inset, 0.0f, 255.0f);
}
// Takes a normalized color in [0, 255] range and returns
inline static uint16 roundAndExpand(Vector3 * restrict v)
{
uint r = uint(clamp(v->x * (31.0f / 255.0f), 0.0f, 31.0f) + 0.5f);
@ -168,6 +169,7 @@ inline static uint computeIndices4(const Vector3 block[16], Vector3::Arg maxColo
return indices;
}
// maxColor and minColor are expected to be in the same range as the color set.
inline static uint computeIndices4(const ColorSet & set, Vector3::Arg maxColor, Vector3::Arg minColor)
{
Vector3 palette[4];
@ -224,6 +226,7 @@ inline static float evaluatePaletteError4(const Vector3 block[16], Vector3::Arg
return total;
}
// maxColor and minColor are expected to be in the same range as the color set.
inline static uint computeIndices3(const ColorSet & set, Vector3::Arg maxColor, Vector3::Arg minColor)
{
Vector3 palette[4];
@ -702,8 +705,8 @@ void QuickCompress::compressDXT5(const ColorBlock & rgba, BlockDXT5 * dxtBlock,
void QuickCompress::outputBlock4(const ColorSet & set, const Vector3 & start, const Vector3 & end, BlockDXT1 * block)
{
Vector3 maxColor = start * 255;
Vector3 minColor = end * 255;
Vector3 minColor = start * 255;
Vector3 maxColor = end * 255;
uint16 color0 = roundAndExpand(&maxColor);
uint16 color1 = roundAndExpand(&minColor);
@ -715,17 +718,17 @@ void QuickCompress::outputBlock4(const ColorSet & set, const Vector3 & start, co
block->col0 = Color16(color0);
block->col1 = Color16(color1);
block->indices = computeIndices4(set, maxColor, minColor);
block->indices = computeIndices4(set, maxColor / 255, minColor / 255);
//optimizeEndPoints4(set, block);
}
void QuickCompress::outputBlock3(const ColorSet & set, const Vector3 & start, const Vector3 & end, BlockDXT1 * block)
{
Vector3 maxColor = start * 255;
Vector3 minColor = end * 255;
uint16 color0 = roundAndExpand(&maxColor);
uint16 color1 = roundAndExpand(&minColor);
Vector3 minColor = start * 255;
Vector3 maxColor = end * 255;
uint16 color0 = roundAndExpand(&minColor);
uint16 color1 = roundAndExpand(&maxColor);
if (color0 > color1)
{
@ -735,7 +738,7 @@ void QuickCompress::outputBlock3(const ColorSet & set, const Vector3 & start, co
block->col0 = Color16(color0);
block->col1 = Color16(color1);
block->indices = computeIndices3(set, maxColor, minColor);
block->indices = computeIndices3(set, maxColor / 255, minColor / 255);
//optimizeEndPoints3(set, block);
}
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