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https://github.com/Ryujinx/Ryujinx.git
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164 lines
4.3 KiB
C#
164 lines
4.3 KiB
C#
using Ryujinx.Graphics.GAL;
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using Ryujinx.Graphics.GAL.Sampler;
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namespace Ryujinx.Graphics.Gpu.Image
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{
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struct SamplerDescriptor
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{
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private static readonly float[] _f5ToF32ConversionLut = new float[]
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{
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0.0f,
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0.055555556f,
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0.1f,
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0.13636364f,
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0.16666667f,
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0.1923077f,
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0.21428572f,
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0.23333333f,
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0.25f,
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0.2777778f,
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0.3f,
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0.3181818f,
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0.33333334f,
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0.34615386f,
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0.35714287f,
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0.36666667f,
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0.375f,
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0.3888889f,
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0.4f,
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0.4090909f,
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0.41666666f,
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0.42307693f,
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0.42857143f,
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0.43333334f,
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0.4375f,
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0.44444445f,
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0.45f,
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0.45454547f,
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0.45833334f,
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0.46153846f,
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0.4642857f,
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0.46666667f
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};
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private static readonly float[] _maxAnisotropyLut = new float[]
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{
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1, 2, 4, 6, 8, 10, 12, 16
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};
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private const float Frac8ToF32 = 1.0f / 256.0f;
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public uint Word0;
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public uint Word1;
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public uint Word2;
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public uint Word3;
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public uint BorderColorR;
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public uint BorderColorG;
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public uint BorderColorB;
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public uint BorderColorA;
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public AddressMode UnpackAddressU()
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{
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return (AddressMode)(Word0 & 7);
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}
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public AddressMode UnpackAddressV()
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{
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return (AddressMode)((Word0 >> 3) & 7);
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}
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public AddressMode UnpackAddressP()
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{
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return (AddressMode)((Word0 >> 6) & 7);
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}
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public CompareMode UnpackCompareMode()
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{
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return (CompareMode)((Word0 >> 9) & 1);
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}
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public CompareOp UnpackCompareOp()
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{
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return (CompareOp)(((Word0 >> 10) & 7) + 1);
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}
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public float UnpackMaxAnisotropy()
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{
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return _maxAnisotropyLut[(Word0 >> 20) & 7];
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}
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public MagFilter UnpackMagFilter()
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{
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return (MagFilter)(Word1 & 3);
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}
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public MinFilter UnpackMinFilter()
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{
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SamplerMinFilter minFilter = (SamplerMinFilter)((Word1 >> 4) & 3);
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SamplerMipFilter mipFilter = (SamplerMipFilter)((Word1 >> 6) & 3);
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return ConvertFilter(minFilter, mipFilter);
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}
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private static MinFilter ConvertFilter(SamplerMinFilter minFilter, SamplerMipFilter mipFilter)
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{
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switch (mipFilter)
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{
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case SamplerMipFilter.None:
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switch (minFilter)
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{
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case SamplerMinFilter.Nearest: return MinFilter.Nearest;
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case SamplerMinFilter.Linear: return MinFilter.Linear;
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}
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break;
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case SamplerMipFilter.Nearest:
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switch (minFilter)
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{
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case SamplerMinFilter.Nearest: return MinFilter.NearestMipmapNearest;
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case SamplerMinFilter.Linear: return MinFilter.LinearMipmapNearest;
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}
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break;
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case SamplerMipFilter.Linear:
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switch (minFilter)
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{
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case SamplerMinFilter.Nearest: return MinFilter.NearestMipmapLinear;
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case SamplerMinFilter.Linear: return MinFilter.LinearMipmapLinear;
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}
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break;
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}
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return MinFilter.Nearest;
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}
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public ReductionFilter UnpackReductionFilter()
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{
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return (ReductionFilter)((Word1 >> 10) & 3);
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}
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public float UnpackMipLodBias()
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{
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int fixedValue = (int)(Word1 >> 12) & 0x1fff;
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fixedValue = (fixedValue << 19) >> 19;
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return fixedValue * Frac8ToF32;
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}
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public float UnpackLodSnap()
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{
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return _f5ToF32ConversionLut[(Word1 >> 26) & 0x1f];
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}
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public float UnpackMinLod()
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{
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return (Word2 & 0xfff) * Frac8ToF32;
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}
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public float UnpackMaxLod()
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{
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return ((Word2 >> 12) & 0xfff) * Frac8ToF32;
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}
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}
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}
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