Tag 2.0.6 for release.

Shutdown CUDA properly when nvtt context is destroyed.
Fixes issue 83.

ChangeLog

@@ -1,3 +1,17 @@
+NVIDIA Texture Tools version 2.0.6
+ * Fix dll version checking.
+ * Detect CUDA 2.1 and future CUDA versions correctly.
+ * Print CUDA detection message in nvcompress.
+ * Select the fastest CUDA device.
+ * Compile squish with -fPIC. Fixes issue 74.
+ * Fix warnings under gcc 4.3.2.
+ * Fix nvzoom option typo by Frank Richter. Fixes issue 81.
+ * Do not use CUDA to compress small mipmaps. Fixes issue 76.
+ * Compute mipmaps of semi-transparent images correctly.
+ * Shutdown CUDA properly. Fixes issue 83.
+ * Fix pixel format converions. Fixes issue 87.
+ * Update single color compression tables. Fixes issue 85.
+
 NVIDIA Texture Tools version 2.0.5
  * Fix error in single color compressor. Fixes issue 66.
  * Detect mismatch between CUDA runtime and driver, and disable CUDA in that case.

VERSION

@@ -1 +1 @@
-2.0.5
+2.0.6

project/vc8/nvtt/nvtt.rc

@@ -53,8 +53,8 @@ END
 //
 
 VS_VERSION_INFO VERSIONINFO
- FILEVERSION 2,0,5,0
- PRODUCTVERSION 2,0,5,0
+ FILEVERSION 2,0,6,0
+ PRODUCTVERSION 2,0,6,0
  FILEFLAGSMASK 0x17L
 #ifdef _DEBUG
  FILEFLAGS 0x1L
@@ -71,12 +71,12 @@ BEGIN
         BEGIN
             VALUE "CompanyName", "NVIDIA Corporation"
             VALUE "FileDescription", "NVIDIA Texture Tools Dynamic Link Library"
-            VALUE "FileVersion", "2, 0, 5, 0"
+            VALUE "FileVersion", "2, 0, 6, 0"
             VALUE "InternalName", "nvtt"
             VALUE "LegalCopyright", "Copyright (C) 2007"
             VALUE "OriginalFilename", "nvtt.dll"
             VALUE "ProductName", "NVIDIA Texture Tools Dynamic Link Library"
-            VALUE "ProductVersion", "2, 0, 5, 0"
+            VALUE "ProductVersion", "2, 0, 6, 0"
         END
     END
     BLOCK "VarFileInfo"

src/nvcore/Containers.h

@@ -824,13 +824,13 @@ namespace nv
 		}
 	
 		/// Number of entries in the hash.
-		int	size()
+		int	size() const
 		{
 			return entry_count;
 		}
 	
 		/// Number of entries in the hash.
-		int	count()
+		int	count() const
 		{
 			return size();
 		}

src/nvcore/Debug.cpp

@@ -136,7 +136,11 @@ namespace
 #if defined(HAVE_EXECINFO_H) // NV_OS_LINUX
 
 	static bool nvHasStackTrace() {
+#if NV_OS_DARWIN
 		return backtrace != NULL;
+#else
+		return true;
+#endif
 	}
 
 	static void nvPrintStackTrace(void * trace[], int size, int start=0) {
@@ -401,7 +405,7 @@ namespace
 			{
 				void * trace[64];
 				int size = backtrace(trace, 64);
-				nvPrintStackTrace(trace, size, 3);
+				nvPrintStackTrace(trace, size, 2);
 			}
 #		endif
 

src/nvcore/DefsVcWin32.h

@@ -72,8 +72,6 @@ typedef uint32              uint;
 #pragma warning(disable : 4711)		// function selected for automatic inlining
 #pragma warning(disable : 4725)		// Pentium fdiv bug
 
-#pragma warning(disable : 4345)		// behavior change: an object of POD type constructed with an initializer of the form () will be default-initialized
-
 #pragma warning(disable : 4786)		// Identifier was truncated and cannot be debugged.
 
 #pragma warning(disable : 4675)		// resolved overload was found by argument-dependent lookup

src/nvcore/StdStream.h

@@ -47,25 +47,25 @@ public:
 
 	/** @name Stream implementation. */
 	//@{
-		virtual void seek( int pos )
+		virtual void seek( uint pos )
 		{
 			nvDebugCheck(m_fp != NULL);
-			nvDebugCheck(pos >= 0 && pos < size());
+			nvDebugCheck(pos < size());
 			fseek(m_fp, pos, SEEK_SET);
 		}
 		
-		virtual int tell() const
+		virtual uint tell() const
 		{
 			nvDebugCheck(m_fp != NULL);
 			return ftell(m_fp);
 		}
 		
-		virtual int size() const
+		virtual uint size() const
 		{
 			nvDebugCheck(m_fp != NULL);
-			int pos = ftell(m_fp);
+			uint pos = ftell(m_fp);
 			fseek(m_fp, 0, SEEK_END);
-			int end = ftell(m_fp);
+			uint end = ftell(m_fp);
 			fseek(m_fp, pos, SEEK_SET);
 			return end;
 		}
@@ -117,11 +117,11 @@ public:
 	/** @name Stream implementation. */
 	//@{
 		/// Write data.
-		virtual void serialize( void * data, int len )
+		virtual uint serialize( void * data, uint len )
 		{
 			nvDebugCheck(data != NULL);
 			nvDebugCheck(m_fp != NULL);
-			fwrite(data, len, 1, m_fp);
+			return (uint)fwrite(data, 1, len, m_fp);
 		}
 		
 		virtual bool isLoading() const
@@ -156,11 +156,11 @@ public:
 	/** @name Stream implementation. */
 	//@{
 		/// Read data.
-		virtual void serialize( void * data, int len )
+		virtual uint serialize( void * data, uint len )
 		{
 			nvDebugCheck(data != NULL);
 			nvDebugCheck(m_fp != NULL);
-			fread(data, len, 1, m_fp);
+			return (uint)fread(data, 1, len, m_fp);
 		}
 		
 		virtual bool isLoading() const
@@ -184,33 +184,40 @@ class NVCORE_CLASS MemoryInputStream : public Stream
 public:
 
 	/// Ctor.
-	MemoryInputStream( const uint8 * mem, int size ) : 
+	MemoryInputStream( const uint8 * mem, uint size ) : 
 		m_mem(mem), m_ptr(mem), m_size(size) { }
 
 	/** @name Stream implementation. */
 	//@{
 		/// Read data.
-		virtual void serialize( void * data, int len )
+		virtual uint serialize( void * data, uint len )
 		{
 			nvDebugCheck(data != NULL);
 			nvDebugCheck(!isError());
+
+			uint left = m_size - tell();
+			if (len > left) len = left;
+			
 			memcpy( data, m_ptr, len );
 			m_ptr += len;
+				
+			return len;
 		}
 		
-		virtual void seek( int pos )
+		virtual void seek( uint pos )
 		{
 			nvDebugCheck(!isError());
 			m_ptr = m_mem + pos;
 			nvDebugCheck(!isError());
 		}
 		
-		virtual int tell() const
+		virtual uint tell() const
 		{
-			return int(m_ptr - m_mem);
+			nvDebugCheck(m_ptr >= m_mem);
+			return uint(m_ptr - m_mem);
 		}
 		
-		virtual int size() const
+		virtual uint size() const
 		{
 			return m_size;
 		}
@@ -252,7 +259,7 @@ private:
 
 	const uint8 * m_mem;
 	const uint8 * m_ptr;
-	int m_size;
+	uint m_size;
 
 };
 
@@ -286,17 +293,19 @@ public:
 	/** @name Stream implementation. */
 	//@{
 		/// Read data.
-		virtual void serialize( void * data, int len )
+		virtual uint serialize( void * data, uint len )
 		{
 			nvDebugCheck(data != NULL);
-			m_s->serialize( data, len );
+			len = m_s->serialize( data, len );
 			
 			if( m_s->isError() ) {
 				throw std::exception();
 			}
+
+			return len;
 		}
 		
-		virtual void seek( int pos )
+		virtual void seek( uint pos )
 		{
 			m_s->seek( pos );
 			
@@ -305,12 +314,12 @@ public:
 			}
 		}
 		
-		virtual int tell() const
+		virtual uint tell() const
 		{
 			return m_s->tell();
 		}
 		
-		virtual int size() const
+		virtual uint size() const
 		{
 			return m_s->size();
 		}

src/nvcore/StrLib.cpp

@@ -209,48 +209,11 @@ StringBuilder::StringBuilder( const StringBuilder & s ) : m_size(0), m_str(NULL)
 }
 
 /** Copy string. */
-StringBuilder::StringBuilder( const char * s )
+StringBuilder::StringBuilder( const char * s ) : m_size(0), m_str(NULL)
 {
 	copy(s);
 }
 
-/** Allocate and copy string. */
-StringBuilder::StringBuilder( int size_hint, const StringBuilder & s) : m_size(size_hint), m_str(NULL)
-{
-	nvDebugCheck(m_size > 0);
-	m_str = strAlloc(m_size);
-	copy(s);
-}
-
-/** Allocate and format string. */
-StringBuilder::StringBuilder( const char * fmt, ... ) : m_size(0), m_str(NULL)
-{
-	nvDebugCheck(fmt != NULL);
-	va_list arg;
-	va_start( arg, fmt );
-
-	format( fmt, arg );
-
-	va_end( arg );
-}
-
-/** Allocate and format string. */
-StringBuilder::StringBuilder( int size_hint, const char * fmt, ... ) : m_size(size_hint), m_str(NULL)
-{
-	nvDebugCheck(m_size > 0);	
-	nvDebugCheck(fmt != NULL);
-	
-	m_str = strAlloc(m_size);
-
-	va_list arg;
-	va_start( arg, fmt );
-
-	format( fmt, arg );
-
-	va_end( arg );
-}
-
-
 /** Delete the string. */
 StringBuilder::~StringBuilder()
 {
@@ -278,8 +241,7 @@ StringBuilder & StringBuilder::format( const char * fmt, ... )
 /** Format a string safely. */
 StringBuilder & StringBuilder::format( const char * fmt, va_list arg )
 {
-	nvCheck(fmt != NULL);
-	nvCheck(m_size >= 0);
+	nvDebugCheck(fmt != NULL);
 
 	if( m_size == 0 ) {
 		m_size = 64;
@@ -327,8 +289,7 @@ StringBuilder & StringBuilder::format( const char * fmt, va_list arg )
 /** Append a string. */
 StringBuilder & StringBuilder::append( const char * s )
 {
-	nvCheck(s != NULL);
-	nvCheck(m_size >= 0);
+	nvDebugCheck(s != NULL);
 
 	const uint slen = uint(strlen( s ));
 
@@ -475,31 +436,6 @@ void StringBuilder::reset()
 }
 
 
-Path::Path(const char * fmt, ...)
-{
-	nvDebugCheck( fmt != NULL );
-
-	va_list arg;
-	va_start( arg, fmt );
-
-	format( fmt, arg );
-
-	va_end( arg );
-}
-
-Path::Path(int size_hint, const char * fmt, ...) : StringBuilder(size_hint)
-{
-	nvDebugCheck( fmt != NULL );
-
-	va_list arg;
-	va_start( arg, fmt );
-
-	format( fmt, arg );
-
-	va_end( arg );
-}
-
-
 /// Get the file name from a path.
 const char * Path::fileName() const
 {

src/nvcore/StrLib.h

@@ -47,9 +47,6 @@ namespace nv
 		explicit StringBuilder( int size_hint );
 		StringBuilder( const char * str );
 		StringBuilder( const StringBuilder & );
-		StringBuilder( int size_hint, const StringBuilder & );	
-		StringBuilder( const char * format, ... ) __attribute__((format (printf, 2, 3)));
-		StringBuilder( int size_hint, const char * format, ... ) __attribute__((format (printf, 3, 4)));
 	
 		~StringBuilder();
 	
@@ -122,16 +119,14 @@ namespace nv
 	};
 
 
-	/// Path string.
+	/// Path string. @@ This should be called PathBuilder.
 	class NVCORE_CLASS Path : public StringBuilder
 	{
 	public:
 		Path() : StringBuilder() {}
 		explicit Path(int size_hint) : StringBuilder(size_hint) {}
-		Path(const StringBuilder & str) : StringBuilder(str) {}
-		Path(int size_hint, const StringBuilder & str) : StringBuilder(size_hint, str) {}	
-		Path(const char * format, ...) __attribute__((format (printf, 2, 3)));
-		Path(int size_hint, const char * format, ...) __attribute__((format (printf, 3, 4)));
+		Path(const char * str) : StringBuilder(str) {}
+		Path(const Path & path) : StringBuilder(path) {}
 		
 		const char * fileName() const;
 		const char * extension() const;

src/nvcore/Stream.h

@@ -41,17 +41,17 @@ public:
 	ByteOrder byteOrder() const { return m_byteOrder; }
 
 	
-	/// Serialize the given data. @@ Should return bytes serialized?
-	virtual void serialize( void * data, int len ) = 0;
+	/// Serialize the given data.
+	virtual uint serialize( void * data, uint len ) = 0;
 
 	/// Move to the given position in the archive.
-	virtual void seek( int pos ) = 0;
+	virtual void seek( uint pos ) = 0;
 
 	/// Return the current position in the archive.
-	virtual int tell() const = 0;
+	virtual uint tell() const = 0;
 
 	/// Return the current size of the archive.
-	virtual int size() const = 0;
+	virtual uint size() const = 0;
 
 	/// Determine if there has been any error.
 	virtual bool isError() const = 0;
@@ -136,13 +136,13 @@ public:
 protected:
 
 	/// Serialize in the stream byte order.
-	Stream & byteOrderSerialize( void * v, int len ) {
+	Stream & byteOrderSerialize( void * v, uint len ) {
 		if( m_byteOrder == getSystemByteOrder() ) {
 			serialize( v, len );
 		}
 		else {
-			for( int i=len-1; i>=0; i-- ) {
-				serialize( (uint8 *)v + i, 1 );
+			for( uint i = len; i > 0; i-- ) {
+				serialize( (uint8 *)v + i - 1, 1 );
 			}
 		}
 		return *this;

src/nvimage/DirectDrawSurface.cpp

@@ -532,7 +532,7 @@ DDSHeader::DDSHeader()
 
 	// Store version information on the reserved header attributes.
 	this->reserved[9] = MAKEFOURCC('N', 'V', 'T', 'T');
-	this->reserved[10] = (2 << 16) | (0 << 8) | (5);	// major.minor.revision
+	this->reserved[10] = (2 << 16) | (0 << 8) | (6);	// major.minor.revision
 
 	this->pf.size = 32;
 	this->pf.flags = 0;
@@ -989,10 +989,10 @@ void DirectDrawSurface::readLinearImage(Image * img)
 			stream->serialize(&c, byteCount);
 
 			Color32 pixel(0, 0, 0, 0xFF);
-			pixel.r = PixelFormat::convert(c >> rshift, rsize, 8);
-			pixel.g = PixelFormat::convert(c >> gshift, gsize, 8);
-			pixel.b = PixelFormat::convert(c >> bshift, bsize, 8);
-			pixel.a = PixelFormat::convert(c >> ashift, asize, 8);
+			pixel.r = PixelFormat::convert((c & header.pf.rmask) >> rshift, rsize, 8);
+			pixel.g = PixelFormat::convert((c & header.pf.gmask) >> gshift, gsize, 8);
+			pixel.b = PixelFormat::convert((c & header.pf.bmask) >> bshift, bsize, 8);
+			pixel.a = PixelFormat::convert((c & header.pf.amask) >> ashift, asize, 8);
 
 			img->pixel(x, y) = pixel;
 		}

src/nvimage/Filter.cpp

@@ -33,11 +33,10 @@
  * http://www.dspguide.com/ch16.htm
  */
 
+#include "Filter.h"
 
-#include <nvcore/Containers.h>	// swap
-#include <nvmath/nvmath.h>	// fabs
 #include <nvmath/Vector.h>	// Vector4
-#include <nvimage/Filter.h>
+#include <nvcore/Containers.h>	// swap
 
 using namespace nv;
 
@@ -504,7 +503,7 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
 
 		for (int i = 0; i < 7; i++) {
 			for (int e = 0; e < 7; e++) {
-				m_data[i * 9 + e + 1] += elements[i * 7 + e] * scale.z();
+				m_data[(i + 1) * 9 + e + 1] += elements[i * 7 + e] * scale.z();
 			}
 		}
 	}
@@ -519,7 +518,7 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
 
 		for (int i = 0; i < 5; i++) {
 			for (int e = 0; e < 5; e++) {
-				m_data[i * 9 + e + 2] += elements[i * 5 + e] * scale.y();
+				m_data[(i + 2) * 9 + e + 2] += elements[i * 5 + e] * scale.y();
 			}
 		}
 	}
@@ -532,7 +531,7 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
 
 		for (int i = 0; i < 3; i++) {
 			for (int e = 0; e < 3; e++) {
-				m_data[i * 9 + e + 3] += elements[i * 3 + e] * scale.x();
+				m_data[(i + 3) * 9 + e + 3] += elements[i * 3 + e] * scale.x();
 			}
 		}
 	}
@@ -582,7 +581,6 @@ PolyphaseKernel::PolyphaseKernel(const Filter & f, uint srcLength, uint dstLengt
 			m_data[i * m_windowSize + j] /= total;
 		}
 	}
-
 }
 
 PolyphaseKernel::~PolyphaseKernel()

src/nvimage/Filter.h

@@ -11,16 +11,16 @@ namespace nv
 	class Vector4;
 
 	/// Base filter class.
-	class Filter
+	class NVIMAGE_CLASS Filter
 	{
 	public:
-		NVIMAGE_API Filter(float width);
-		NVIMAGE_API virtual ~Filter();
+		Filter(float width);
+		virtual ~Filter();
 
-		NVIMAGE_API float width() const { return m_width; }
-		NVIMAGE_API float sampleDelta(float x, float scale) const;
-		NVIMAGE_API float sampleBox(float x, float scale, int samples) const;
-		NVIMAGE_API float sampleTriangle(float x, float scale, int samples) const;
+		float width() const { return m_width; }
+		float sampleDelta(float x, float scale) const;
+		float sampleBox(float x, float scale, int samples) const;
+		float sampleTriangle(float x, float scale, int samples) const;
 
 		virtual float evaluate(float x) const = 0;
 
@@ -29,56 +29,56 @@ namespace nv
 	};
 
 	// Box filter.
-	class BoxFilter : public Filter
+	class NVIMAGE_CLASS BoxFilter : public Filter
 	{
 	public:
-		NVIMAGE_API BoxFilter();
-		NVIMAGE_API BoxFilter(float width);
-		NVIMAGE_API virtual float evaluate(float x) const;
+		BoxFilter();
+		BoxFilter(float width);
+		virtual float evaluate(float x) const;
 	};
 
 	// Triangle (bilinear/tent) filter.
-	class TriangleFilter : public Filter
+	class NVIMAGE_CLASS TriangleFilter : public Filter
 	{
 	public:
-		NVIMAGE_API TriangleFilter();
-		NVIMAGE_API TriangleFilter(float width);
-		NVIMAGE_API virtual float evaluate(float x) const;
+		TriangleFilter();
+		TriangleFilter(float width);
+		virtual float evaluate(float x) const;
 	};
 
 	// Quadratic (bell) filter.
-	class QuadraticFilter : public Filter
+	class NVIMAGE_CLASS QuadraticFilter : public Filter
 	{
 	public:
-		NVIMAGE_API QuadraticFilter();
-		NVIMAGE_API virtual float evaluate(float x) const;
+		QuadraticFilter();
+		virtual float evaluate(float x) const;
 	};
 
 	// Cubic filter from Thatcher Ulrich.
-	class CubicFilter : public Filter
+	class NVIMAGE_CLASS CubicFilter : public Filter
 	{
 	public:
-		NVIMAGE_API CubicFilter();
-		NVIMAGE_API virtual float evaluate(float x) const;
+		CubicFilter();
+		virtual float evaluate(float x) const;
 	};
 
 	// Cubic b-spline filter from Paul Heckbert.
-	class BSplineFilter : public Filter
+	class NVIMAGE_CLASS BSplineFilter : public Filter
 	{
 	public:
-		NVIMAGE_API BSplineFilter();
-		NVIMAGE_API virtual float evaluate(float x) const;
+		BSplineFilter();
+		virtual float evaluate(float x) const;
 	};
 
 	/// Mitchell & Netravali's two-param cubic
 	/// @see "Reconstruction Filters in Computer Graphics", SIGGRAPH 88
-	class MitchellFilter : public Filter
+	class NVIMAGE_CLASS MitchellFilter : public Filter
 	{
 	public:
-		NVIMAGE_API MitchellFilter();
-		NVIMAGE_API virtual float evaluate(float x) const;
+		MitchellFilter();
+		virtual float evaluate(float x) const;
 
-		NVIMAGE_API void setParameters(float a, float b);
+		void setParameters(float b, float c);
 
 	private:
 		float p0, p2, p3;
@@ -86,29 +86,29 @@ namespace nv
 	};
 
 	// Lanczos3 filter.
-	class LanczosFilter : public Filter
+	class NVIMAGE_CLASS LanczosFilter : public Filter
 	{
 	public:
-		NVIMAGE_API LanczosFilter();
-		NVIMAGE_API virtual float evaluate(float x) const;
+		LanczosFilter();
+		virtual float evaluate(float x) const;
 	};
 
 	// Sinc filter.
-	class SincFilter : public Filter
+	class NVIMAGE_CLASS SincFilter : public Filter
 	{
 	public:
-		NVIMAGE_API SincFilter(float w);
-		NVIMAGE_API virtual float evaluate(float x) const;
+		SincFilter(float w);
+		virtual float evaluate(float x) const;
 	};
 
 	// Kaiser filter.
-	class KaiserFilter : public Filter
+	class NVIMAGE_CLASS KaiserFilter : public Filter
 	{
 	public:
-		NVIMAGE_API KaiserFilter(float w);
-		NVIMAGE_API virtual float evaluate(float x) const;
+		KaiserFilter(float w);
+		virtual float evaluate(float x) const;
 	
-		NVIMAGE_API void setParameters(float a, float stretch);
+		void setParameters(float a, float stretch);
 
 	private:
 		float alpha;
@@ -118,12 +118,12 @@ namespace nv
 
 
 	/// A 1D kernel. Used to precompute filter weights.
-	class Kernel1
+	class NVIMAGE_CLASS Kernel1
 	{
 		NV_FORBID_COPY(Kernel1);
 	public:
-		NVIMAGE_API Kernel1(const Filter & f, int iscale, int samples = 32);
-		NVIMAGE_API ~Kernel1();
+		Kernel1(const Filter & f, int iscale, int samples = 32);
+		~Kernel1();
 		
 		float valueAt(uint x) const {
 			nvDebugCheck(x < (uint)m_windowSize);
@@ -138,7 +138,7 @@ namespace nv
 			return m_width;
 		}
 		
-		NVIMAGE_API void debugPrint();
+		void debugPrint();
 		
 	private:
 		int m_windowSize;
@@ -148,15 +148,15 @@ namespace nv
 
 
 	/// A 2D kernel.
-	class Kernel2 
+	class NVIMAGE_CLASS Kernel2 
 	{
 	public:
-		NVIMAGE_API Kernel2(uint width);
-		NVIMAGE_API Kernel2(const Kernel2 & k);
-		NVIMAGE_API ~Kernel2();
+		Kernel2(uint width);
+		Kernel2(const Kernel2 & k);
+		~Kernel2();
 		
-		NVIMAGE_API void normalize();
-		NVIMAGE_API void transpose();
+		void normalize();
+		void transpose();
 		
 		float valueAt(uint x, uint y) const {
 			return m_data[y * m_windowSize + x];
@@ -166,12 +166,12 @@ namespace nv
 			return m_windowSize;
 		}
 		
-		NVIMAGE_API void initLaplacian();
-		NVIMAGE_API void initEdgeDetection();
-		NVIMAGE_API void initSobel();
-		NVIMAGE_API void initPrewitt();
+		void initLaplacian();
+		void initEdgeDetection();
+		void initSobel();
+		void initPrewitt();
 		
-		NVIMAGE_API void initBlendedSobel(const Vector4 & scale);
+		void initBlendedSobel(const Vector4 & scale);
 		
 	private:
 		const uint m_windowSize;
@@ -180,12 +180,12 @@ namespace nv
 
 
 	/// A 1D polyphase kernel
-	class PolyphaseKernel
+	class NVIMAGE_CLASS PolyphaseKernel
 	{
 		NV_FORBID_COPY(PolyphaseKernel);
 	public:
-		NVIMAGE_API PolyphaseKernel(const Filter & f, uint srcLength, uint dstLength, int samples = 32);
-		NVIMAGE_API ~PolyphaseKernel();
+		PolyphaseKernel(const Filter & f, uint srcLength, uint dstLength, int samples = 32);
+		~PolyphaseKernel();
 		
 		int windowSize() const {
 			return m_windowSize;
@@ -205,7 +205,7 @@ namespace nv
 			return m_data[column * m_windowSize + x];
 		}
 
-		NVIMAGE_API void debugPrint() const;
+		void debugPrint() const;
 		
 	private:
 		int m_windowSize;

src/nvimage/FloatImage.cpp

@@ -1,16 +1,18 @@
 // This code is in the public domain -- castanyo@yahoo.es
 
-#include <nvcore/Containers.h>
-#include <nvcore/Ptr.h>
-
-#include <nvmath/Color.h>
-
 #include "FloatImage.h"
 #include "Filter.h"
 #include "Image.h"
 
+#include <nvmath/Color.h>
+#include <nvmath/Matrix.h>
+
+#include <nvcore/Containers.h>
+#include <nvcore/Ptr.h>
+
 #include <math.h>
 
+
 using namespace nv;
 
 namespace 
@@ -140,7 +142,8 @@ Image * FloatImage::createImageGammaCorrect(float gamma/*= 2.2f*/) const
 /// Allocate a 2d float image of the given format and the given extents.
 void FloatImage::allocate(uint c, uint w, uint h)
 {
-	nvCheck(m_mem == NULL);
+	free();
+
 	m_width = w;
 	m_height = h;
 	m_componentNum = c;
@@ -151,7 +154,6 @@ void FloatImage::allocate(uint c, uint w, uint h)
 /// Free the image, but don't clear the members.
 void FloatImage::free()
 {
-	nvCheck(m_mem != NULL);
 	nv::mem::free( reinterpret_cast<void *>(m_mem) );
 	m_mem = NULL;
 }
@@ -549,6 +551,15 @@ FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm) const
 	return resize(filter, w, h, wm);
 }
 
+/// Downsample applying a 1D kernel separately in each dimension.
+FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm, uint alpha) const
+{
+	const uint w = max(1, m_width / 2);
+	const uint h = max(1, m_height / 2);
+
+	return resize(filter, w, h, wm, alpha);
+}
+
 
 /// Downsample applying a 1D kernel separately in each dimension.
 FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm) const
@@ -620,10 +631,56 @@ FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode
 	return dst_image.release();
 }
 
+/// Downsample applying a 1D kernel separately in each dimension.
+FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm, uint alpha) const
+{
+	nvCheck(alpha < m_componentNum);
+
+	AutoPtr<FloatImage> tmp_image( new FloatImage() );
+	AutoPtr<FloatImage> dst_image( new FloatImage() );	
+	
+	PolyphaseKernel xkernel(filter, m_width, w, 32);
+	PolyphaseKernel ykernel(filter, m_height, h, 32);
+	
+	{
+		tmp_image->allocate(m_componentNum, w, m_height);
+		dst_image->allocate(m_componentNum, w, h);
+		
+		Array<float> tmp_column(h);
+		tmp_column.resize(h);
+		
+		for (uint c = 0; c < m_componentNum; c++)
+		{
+			float * tmp_channel = tmp_image->channel(c);
+			
+			for (uint y = 0; y < m_height; y++) {
+				this->applyKernelHorizontal(xkernel, y, c, alpha, wm, tmp_channel + y * w);
+			}
+		}
+
+		// Process all channels before applying vertical kernel to make sure alpha has been computed.
+
+		for (uint c = 0; c < m_componentNum; c++)
+		{
+			float * dst_channel = dst_image->channel(c);
+			
+			for (uint x = 0; x < w; x++) {
+				tmp_image->applyKernelVertical(ykernel, x, c, alpha, wm, tmp_column.unsecureBuffer());
+				
+				for (uint y = 0; y < h; y++) {
+					dst_channel[y * w + x] = tmp_column[y];
+				}
+			}
+		}
+	}
+	
+	return dst_image.release();
+}
+
 
 
 /// Apply 2D kernel at the given coordinates and return result.
-float FloatImage::applyKernel(const Kernel2 * k, int x, int y, int c, WrapMode wm) const
+float FloatImage::applyKernel(const Kernel2 * k, int x, int y, uint c, WrapMode wm) const
 {
 	nvDebugCheck(k != NULL);
 	
@@ -652,7 +709,7 @@ float FloatImage::applyKernel(const Kernel2 * k, int x, int y, int c, WrapMode w
 
 
 /// Apply 1D vertical kernel at the given coordinates and return result.
-float FloatImage::applyKernelVertical(const Kernel1 * k, int x, int y, int c, WrapMode wm) const
+float FloatImage::applyKernelVertical(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const
 {
 	nvDebugCheck(k != NULL);
 	
@@ -674,7 +731,7 @@ float FloatImage::applyKernelVertical(const Kernel1 * k, int x, int y, int c, Wr
 }
 
 /// Apply 1D horizontal kernel at the given coordinates and return result.
-float FloatImage::applyKernelHorizontal(const Kernel1 * k, int x, int y, int c, WrapMode wm) const
+float FloatImage::applyKernelHorizontal(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const
 {
 	nvDebugCheck(k != NULL);
 	
@@ -697,7 +754,7 @@ float FloatImage::applyKernelHorizontal(const Kernel1 * k, int x, int y, int c,
 
 
 /// Apply 1D vertical kernel at the given coordinates and return result.
-void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, int c, WrapMode wm, float * output) const
+void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, uint c, WrapMode wm, float * __restrict output) const
 {
 	const uint length = k.length();
 	const float scale = float(length) / float(m_height);
@@ -729,7 +786,7 @@ void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, int c, Wr
 }
 
 /// Apply 1D horizontal kernel at the given coordinates and return result.
-void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, int c, WrapMode wm, float * output) const
+void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, WrapMode wm, float * __restrict output) const
 {
 	const uint length = k.length();
 	const float scale = float(length) / float(m_width);
@@ -760,3 +817,93 @@ void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, int c,
 	}
 }
 
+
+/// Apply 1D vertical kernel at the given coordinates and return result.
+void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, uint c, uint a, WrapMode wm, float * __restrict output) const
+{
+	const uint length = k.length();
+	const float scale = float(length) / float(m_height);
+	const float iscale = 1.0f / scale;
+
+	const float width = k.width();
+	const int windowSize = k.windowSize();
+
+	const float * channel = this->channel(c);
+	const float * alpha = this->channel(a);
+
+	for (uint i = 0; i < length; i++)
+	{
+		const float center = (0.5f + i) * iscale;
+		
+		const int left = (int)floorf(center - width);
+		const int right = (int)ceilf(center + width);
+		nvCheck(right - left <= windowSize);
+		
+		float norm = 0;
+		float sum = 0;
+		for (int j = 0; j < windowSize; ++j)
+		{
+			const int idx = this->index(x, j+left, wm);
+			
+			float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
+			norm += w;
+			sum += w * channel[idx];
+		}
+		
+		output[i] = sum / norm;
+	}
+}
+
+/// Apply 1D horizontal kernel at the given coordinates and return result.
+void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, uint a, WrapMode wm, float * __restrict output) const
+{
+	const uint length = k.length();
+	const float scale = float(length) / float(m_width);
+	const float iscale = 1.0f / scale;
+
+	const float width = k.width();
+	const int windowSize = k.windowSize();
+
+	const float * channel = this->channel(c);
+	const float * alpha = this->channel(a);
+
+	for (uint i = 0; i < length; i++)
+	{
+		const float center = (0.5f + i) * iscale;
+		
+		const int left = (int)floorf(center - width);
+		const int right = (int)ceilf(center + width);
+		nvDebugCheck(right - left <= windowSize);
+		
+		float norm = 0.0f;
+		float sum = 0;
+		for (int j = 0; j < windowSize; ++j)
+		{
+			const int idx = this->index(left + j, y, wm);
+
+			float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
+			norm += w;
+			sum += w * channel[idx];
+		}
+		
+		output[i] = sum / norm;
+	}
+}
+
+FloatImage* FloatImage::clone() const
+{
+	FloatImage* copy = new FloatImage();
+	copy->m_width = m_width;
+	copy->m_height = m_height;
+	copy->m_componentNum = m_componentNum;
+	copy->m_count = m_count;
+	
+	if(m_mem)
+	{
+		copy->allocate(m_componentNum, m_width, m_height);
+		memcpy(copy->m_mem, m_mem, m_count * sizeof(float));
+	}
+		
+	return copy;
+}
+

src/nvimage/FloatImage.h

@@ -3,12 +3,20 @@
 #ifndef NV_IMAGE_FLOATIMAGE_H
 #define NV_IMAGE_FLOATIMAGE_H
 
+#include <nvimage/nvimage.h>
+
+#include <nvmath/Vector.h>
+
 #include <nvcore/Debug.h>
 #include <nvcore/Containers.h> // clamp
-#include <nvimage/nvimage.h>
+
+#include <stdlib.h> // abs
+
 
 namespace nv
 {
+class Vector4;
+class Matrix;
 class Image;
 class Filter;
 class Kernel1;
@@ -63,17 +71,19 @@ public:
 
 	NVIMAGE_API FloatImage * fastDownSample() const;
 	NVIMAGE_API FloatImage * downSample(const Filter & filter, WrapMode wm) const;
+	NVIMAGE_API FloatImage * downSample(const Filter & filter, WrapMode wm, uint alpha) const;
 	NVIMAGE_API FloatImage * resize(const Filter & filter, uint w, uint h, WrapMode wm) const;
 
-	//NVIMAGE_API FloatImage * downSample(const Kernel1 & filter, WrapMode wm) const;
-	//NVIMAGE_API FloatImage * downSample(const Kernel1 & filter, uint w, uint h, WrapMode wm) const;
+	NVIMAGE_API FloatImage * resize(const Filter & filter, uint w, uint h, WrapMode wm, uint alpha) const;
 	//@}
 
-	NVIMAGE_API float applyKernel(const Kernel2 * k, int x, int y, int c, WrapMode wm) const;
-	NVIMAGE_API float applyKernelVertical(const Kernel1 * k, int x, int y, int c, WrapMode wm) const;
-	NVIMAGE_API float applyKernelHorizontal(const Kernel1 * k, int x, int y, int c, WrapMode wm) const;
-	NVIMAGE_API void applyKernelVertical(const PolyphaseKernel & k, int x, int c, WrapMode wm, float * output) const;
-	NVIMAGE_API void applyKernelHorizontal(const PolyphaseKernel & k, int y, int c, WrapMode wm, float * output) const;
+	NVIMAGE_API float applyKernel(const Kernel2 * k, int x, int y, uint c, WrapMode wm) const;
+	NVIMAGE_API float applyKernelVertical(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const;
+	NVIMAGE_API float applyKernelHorizontal(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const;
+	NVIMAGE_API void applyKernelVertical(const PolyphaseKernel & k, int x, uint c, WrapMode wm, float * output) const;
+	NVIMAGE_API void applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, WrapMode wm, float * output) const;
+	NVIMAGE_API void applyKernelVertical(const PolyphaseKernel & k, int x, uint c, uint a, WrapMode wm, float * output) const;
+	NVIMAGE_API void applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, uint a, WrapMode wm, float * output) const;
 	
 	
 	uint width() const { return m_width; }
@@ -109,6 +119,9 @@ public:
 	float sampleLinearMirror(float x, float y, int c) const;
 	//@}
 	
+	
+	FloatImage* clone() const;
+	
 public:
 	
 	uint index(uint x, uint y) const;

src/nvimage/NormalMap.cpp

@@ -21,15 +21,16 @@
 // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
 // OTHER DEALINGS IN THE SOFTWARE.
 
-#include <nvcore/Ptr.h>
-
-#include <nvmath/Color.h>
-
 #include <nvimage/NormalMap.h>
 #include <nvimage/Filter.h>
 #include <nvimage/FloatImage.h>
 #include <nvimage/Image.h>
 
+#include <nvmath/Color.h>
+
+#include <nvcore/Ptr.h>
+
+
 using namespace nv;
 
 // Create normal map using the given kernels.

src/nvimage/PsdFile.h

@@ -39,7 +39,7 @@ namespace nv
 		bool isSupported() const
 		{
 			if (version != 1) {
-				printf("*** bad version number %u\n", version);
+				nvDebug("*** bad version number %u\n", version);
 				return false;
 			}
 			if (channel_count > 4) {

src/nvimage/Quantize.cpp

@@ -12,11 +12,14 @@ http://www.efg2.com/Lab/Library/ImageProcessing/DHALF.TXT
 @@ This code needs to be reviewed, I'm not sure it's correct.
 */
 
+#include <nvimage/Quantize.h>
+#include <nvimage/Image.h>
+#include <nvimage/PixelFormat.h>
+
 #include <nvmath/Color.h>
 
-#include <nvimage/Image.h>
-#include <nvimage/Quantize.h>
-#include <nvimage/PixelFormat.h>
+#include <nvcore/Containers.h> // swap
+
 
 using namespace nv;
 

src/nvimage/Quantize.h

@@ -3,6 +3,9 @@
 #ifndef NV_IMAGE_QUANTIZE_H
 #define NV_IMAGE_QUANTIZE_H
 
+#include <nvimage/nvimage.h>
+
+
 namespace nv
 {
 	class Image;

src/nvmath/nvmath.h

@@ -48,19 +48,37 @@
 #define IS_NEGATIVE_FLOAT(x)	(IR(x)&SIGN_BITMASK)
 */
 
-inline float sqrt_assert(const float f)
+inline double sqrt_assert(const double f)
+{
+	nvDebugCheck(f >= 0.0f);
+	return sqrt(f);
+}
+
+inline float sqrtf_assert(const float f)
 {
 	nvDebugCheck(f >= 0.0f);
 	return sqrtf(f);
 }
 
-inline float acos_assert(const float f)
+inline double acos_assert(const double f)
+{
+	nvDebugCheck(f >= -1.0f && f <= 1.0f);
+	return acos(f);
+}
+
+inline float acosf_assert(const float f)
 {
 	nvDebugCheck(f >= -1.0f && f <= 1.0f);
 	return acosf(f);
 }
 
-inline float asin_assert(const float f)
+inline double asin_assert(const double f)
+{
+	nvDebugCheck(f >= -1.0f && f <= 1.0f);
+	return asin(f);
+}
+
+inline float asinf_assert(const float f)
 {
 	nvDebugCheck(f >= -1.0f && f <= 1.0f);
 	return asinf(f);
@@ -68,11 +86,11 @@ inline float asin_assert(const float f)
 
 // Replace default functions with asserting ones.
 #define sqrt sqrt_assert
-#define sqrtf sqrt_assert
+#define sqrtf sqrtf_assert
 #define acos acos_assert
-#define acosf acos_assert
+#define acosf acosf_assert
 #define asin asin_assert
-#define asinf asin_assert
+#define asinf asinf_assert
 
 #if NV_OS_WIN32
 #include <float.h>
@@ -136,6 +154,11 @@ inline float lerp(float f0, float f1, float t)
 	return f0 * s + f1 * t;
 }
 
+inline float square(float f)
+{
+	return f * f;
+}
+
 } // nv
 
 #endif // NV_MATH_H

src/nvtt/Compressor.cpp

@@ -228,6 +228,7 @@ Compressor::Compressor() : m(*new Compressor::Private())
 Compressor::~Compressor()
 {
 	delete &m;
+	cuda::exit();
 }
 
 
@@ -697,6 +698,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
 	SlowCompressor slow;
 	slow.setImage(image, inputOptions.alphaMode);
 
+	const bool useCuda = cudaEnabled && image->width() * image->height() >= 512;
 
 	if (compressionOptions.format == Format_RGBA || compressionOptions.format == Format_RGB)
 	{
@@ -725,7 +727,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
 		}
 		else
 		{
-			if (cudaEnabled)
+			if (useCuda)
 			{
 				nvDebugCheck(cudaSupported);
 				cuda->setImage(image, inputOptions.alphaMode);
@@ -745,7 +747,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
 		}
 		else
 		{
-			if (cudaEnabled)
+			if (useCuda)
 			{
 				nvDebugCheck(cudaSupported);
 				/*cuda*/slow.compressDXT1a(compressionOptions, outputOptions);
@@ -764,7 +766,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
 		}
 		else
 		{
-			if (cudaEnabled)
+			if (useCuda)
 			{
 				nvDebugCheck(cudaSupported);
 				cuda->setImage(image, inputOptions.alphaMode);
@@ -784,7 +786,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
 		}
 		else
 		{
-			if (cudaEnabled)
+			if (useCuda)
 			{
 				nvDebugCheck(cudaSupported);
 				cuda->setImage(image, inputOptions.alphaMode);

src/nvtt/cuda/CudaCompressDXT.cpp

@@ -37,7 +37,7 @@
 
 
 #if defined HAVE_CUDA
-#include <cuda_runtime.h>
+#include <cuda_runtime_api.h>
 #endif
 
 #include <time.h>

src/nvtt/cuda/CudaMath.h

@@ -148,7 +148,7 @@ inline __device__ bool singleColor(const float3 * colors)
 	bool sameColor = false;
 	for (int i = 0; i < 16; i++)
 	{
-		sameColor &= (colors[idx] == colors[0]);
+		sameColor &= (colors[i] == colors[0]);
 	}
 	return sameColor;
 #else

src/nvtt/cuda/CudaUtils.cpp

@@ -26,12 +26,14 @@
 #include "CudaUtils.h"
 
 #if defined HAVE_CUDA
-#include <cuda_runtime.h>
+#include <cuda.h>
+#include <cuda_runtime_api.h>
 #endif
 
 using namespace nv;
 using namespace cuda;
 
+/* @@ Move this to win32 utils or somewhere else.
 #if NV_OS_WIN32
 
 #define WINDOWS_LEAN_AND_MEAN
@@ -68,10 +70,12 @@ static bool isWow32()
 }
 
 #endif
+*/
 
 
-static bool isCudaDriverAvailable(uint version)
+static bool isCudaDriverAvailable(int version)
 {
+#if defined HAVE_CUDA
 #if NV_OS_WIN32
 	Library nvcuda("nvcuda.dll");
 #else
@@ -80,21 +84,49 @@ static bool isCudaDriverAvailable(uint version)
 	
 	if (!nvcuda.isValid())
 	{
+		nvDebug("*** CUDA driver not found.\n");
 		return false;
 	}
 	
-	if (version > 2000)
+	if (version >= 2000)
 	{
 		void * address = nvcuda.bindSymbol("cuStreamCreate");
-		if (address == NULL) return false;
+		if (address == NULL) {
+			nvDebug("*** CUDA driver version < 2.0.\n");
+			return false;
+		}
 	}
 
-	if (version > 2010)
+	if (version >= 2010)
 	{
-		void * address = nvcuda.bindSymbol("cuLoadDataEx");
-		if (address == NULL) return false;
+		void * address = nvcuda.bindSymbol("cuModuleLoadDataEx");
+		if (address == NULL) {
+			nvDebug("*** CUDA driver version < 2.1.\n");
+			return false;
+		}
 	}
 	
+	if (version >= 2020)
+	{
+		typedef CUresult (CUDAAPI * PFCU_DRIVERGETVERSION)(int * version);
+
+		PFCU_DRIVERGETVERSION driverGetVersion = (PFCU_DRIVERGETVERSION)nvcuda.bindSymbol("cuDriverGetVersion");
+		if (driverGetVersion == NULL) {
+			nvDebug("*** CUDA driver version < 2.2.\n");
+			return false;
+		}
+
+		int driverVersion;
+		CUresult err = driverGetVersion(&driverVersion);
+		if (err != CUDA_SUCCESS) {
+			nvDebug("*** Error querying driver version: '%s'.\n", cudaGetErrorString((cudaError_t)err));
+			return false;
+		}
+
+		return driverVersion >= version;
+	}
+#endif // HAVE_CUDA
+
 	return true;
 }
 
@@ -103,10 +135,13 @@ static bool isCudaDriverAvailable(uint version)
 bool nv::cuda::isHardwarePresent()
 {
 #if defined HAVE_CUDA
-#if NV_OS_WIN32
-	//if (isWindowsVista()) return false;
-	//if (isWindowsVista() || !isWow32()) return false;
-#endif
+	// Make sure that CUDA driver matches CUDA runtime.
+	if (!isCudaDriverAvailable(CUDART_VERSION))
+	{
+		nvDebug("CUDA driver not available for CUDA runtime %d\n", CUDART_VERSION);
+		return false;
+	}
+
 	int count = deviceCount();
 	if (count == 1)
 	{
@@ -119,16 +154,10 @@ bool nv::cuda::isHardwarePresent()
 		{
 			return false;
 		}
-
-		// Make sure that CUDA driver matches CUDA runtime.
-		if (!isCudaDriverAvailable(CUDART_VERSION))
-		{
-			return false;
-		}
-
-		// @@ Make sure that warp size == 32
 	}
 
+	// @@ Make sure that warp size == 32
+
 	return count > 0;
 #else
 	return false;
@@ -180,14 +209,31 @@ int nv::cuda::getFastestDevice()
 	return max_gflops_device;
 }
 
+
 /// Activate the given devices.
 bool nv::cuda::setDevice(int i)
 {
 	nvCheck(i < deviceCount());
 #if defined HAVE_CUDA
 	cudaError_t result = cudaSetDevice(i);
+
+	if (result != cudaSuccess) {
+		nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
+	}
+
 	return result == cudaSuccess;
 #else
 	return false;
 #endif
 }
+
+void nv::cuda::exit()
+{
+#if defined HAVE_CUDA
+	cudaError_t result = cudaThreadExit();
+
+	if (result != cudaSuccess) {
+		nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
+	}
+#endif
+}

src/nvtt/cuda/CudaUtils.h

@@ -33,6 +33,7 @@ namespace nv
 		int deviceCount();
 		int getFastestDevice();
 		bool setDevice(int i);
+		void exit();
 	};
 	
 } // nv namespace

src/nvtt/squish/CMakeLists.txt

@@ -1,13 +1,8 @@
 PROJECT(squish)
-ENABLE_TESTING()
 
 INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
 
 SET(SQUISH_SRCS
-#	alpha.cpp
-#	alpha.h
-#	clusterfit.cpp
-#	clusterfit.h
 	fastclusterfit.cpp
 	fastclusterfit.h
 	weightedclusterfit.cpp
@@ -21,32 +16,13 @@ SET(SQUISH_SRCS
 	config.h
 	maths.cpp
 	maths.h
-#	rangefit.cpp
-#	rangefit.h
-#	singlecolourfit.cpp
-#	singlecolourfit.h
-#	singlecolourlookup.inl
-#	squish.cpp
-#	squish.h
 	simd.h
 	simd_sse.h
 	simd_ve.h)
 
 ADD_LIBRARY(squish STATIC ${SQUISH_SRCS})
 
-# libpng
-#FIND_PACKAGE(PNG)
-
-#IF(PNG_FOUND)
-#	INCLUDE_DIRECTORIES(${PNG_INCLUDE_DIR})
-#	ADD_EXECUTABLE(squishpng extra/squishpng.cpp)
-#	TARGET_LINK_LIBRARIES(squishpng squish ${PNG_LIBRARY})
-#ENDIF(PNG_FOUND)
-
-##ADD_EXECUTABLE(squishgen extra/squishgen.cpp)
-
-#ADD_EXECUTABLE(squishtest extra/squishtest.cpp)
-#TARGET_LINK_LIBRARIES(squishtest squish)
-
-#ADD_TEST(SQUISHTEST squishtest)
+IF(CMAKE_COMPILER_IS_GNUCXX)
+	SET_TARGET_PROPERTIES(squish PROPERTIES COMPILE_FLAGS -fPIC)
+ENDIF(CMAKE_COMPILER_IS_GNUCXX)
 

src/nvtt/tools/compress.cpp

@@ -396,21 +396,6 @@ int main(int argc, char *argv[])
 		compressionOptions.setExternalCompressor(externalCompressor);
 	}
 
-	if (format == nvtt::Format_RGB)
-	{
-		compressionOptions.setQuantization(true, false, false);
-		//compressionOptions.setPixelFormat(16, 0xF000, 0x0F00, 0x00F0, 0x000F);
-		compressionOptions.setPixelFormat(16, 
-			0x0F00, 
-			0x00F0, 
-			0x000F, 
-			0xF000);
-		//	0x003F0000, 
-		//	0x00003F00, 
-		//	0x0000003F, 
-		//	0x3F000000);
-	}
-
 	
 	MyErrorHandler errorHandler;
 	MyOutputHandler outputHandler(output);
@@ -423,6 +408,16 @@ int main(int argc, char *argv[])
 	nvtt::Compressor compressor;
 	compressor.enableCudaAcceleration(!nocuda);
 
+	printf("CUDA acceleration ");
+	if (compressor.isCudaAccelerationEnabled())
+	{
+		printf("ENABLED\n\n");
+	}
+	else
+	{
+		printf("DISABLED\n\n");
+	}	
+	
 	outputHandler.setTotal(compressor.estimateSize(inputOptions, compressionOptions));
 	outputHandler.setDisplayProgress(!silent);
 

src/nvtt/tools/imgdiff.cpp

@@ -84,7 +84,7 @@ struct Error
 	{
 		mabse /= samples;
 		mse /= samples;
-		rmse = sqrt(mse);
+		rmse = sqrtf(mse);
 		psnr = (rmse == 0) ? 999.0f : 20.0f * log10(255.0f / rmse);
 	}
 
@@ -134,7 +134,7 @@ struct NormalError
 		{
 			ade /= samples;
 			mse /= samples * 3;
-			rmse = sqrt(mse);
+			rmse = sqrtf(mse);
 			psnr = (rmse == 0) ? 999.0f : 20.0f * log10(255.0f / rmse);
 		}
 	}

src/nvtt/tools/resize.cpp

@@ -113,7 +113,7 @@ int main(int argc, char *argv[])
 				((nv::KaiserFilter *)filter.ptr())->setParameters(4.0f, 1.0f);
 			}
 		}
-		else if (strcmp("-f", argv[i]) == 0)
+		else if (strcmp("-w", argv[i]) == 0)
 		{
 			if (i+1 == argc) break;
 			i++;