Ptex

PtexSeparableKernel.cpp
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2 PTEX SOFTWARE
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35#include "PtexPlatform.h"
36#include "PtexUtils.h"
37#include "PtexHalf.h"
38#include "PtexSeparableKernel.h"
39
40 PTEX_NAMESPACE_BEGIN
41
42 namespace {
43 // apply to 1..4 channels (unrolled channel loop) of packed data (nTxChan==nChan)
44 template<class T, int nChan>
45 void Apply(PtexSeparableKernel& k, float* result, void* data, int /*nChan*/, int /*nTxChan*/)
46 {
47 float* rowResult = (float*) alloca(nChan*sizeof(float));
48 int rowlen = k.res.u() * nChan;
49 int datalen = k.uw * nChan;
50 int rowskip = rowlen - datalen;
51 float* kvp = k.kv;
52 T* p = static_cast<T*>(data) + (k.v * k.res.u() + k.u) * nChan;
53 T* pEnd = p + k.vw * rowlen;
54 while (p != pEnd)
55 {
56 float* kup = k.ku;
57 T* pRowEnd = p + datalen;
58 // just mult and copy first element
59 PtexUtils::VecMult<T,nChan>()(rowResult, p, *kup++);
60 p += nChan;
61 // accumulate remaining elements
62 while (p != pRowEnd) {
63 // rowResult[i] = p[i] * ku[u] for i in {0..n-1}
64 PtexUtils::VecAccum<T,nChan>()(rowResult, p, *kup++);
65 p += nChan;
66 }
67 // result[i] += rowResult[i] * kv[v] for i in {0..n-1}
68 PtexUtils::VecAccum<float,nChan>()(result, rowResult, *kvp++);
69 p += rowskip;
70 }
71 }
72
73 // apply to 1..4 channels (unrolled channel loop) w/ pixel stride
74 template<class T, int nChan>
75 void ApplyS(PtexSeparableKernel& k, float* result, void* data, int /*nChan*/, int nTxChan)
76 {
77 float* rowResult = (float*) alloca(nChan*sizeof(float));
78 int rowlen = k.res.u() * nTxChan;
79 int datalen = k.uw * nTxChan;
80 int rowskip = rowlen - datalen;
81 float* kvp = k.kv;
82 T* p = static_cast<T*>(data) + (k.v * k.res.u() + k.u) * nTxChan;
83 T* pEnd = p + k.vw * rowlen;
84 while (p != pEnd)
85 {
86 float* kup = k.ku;
87 T* pRowEnd = p + datalen;
88 // just mult and copy first element
89 PtexUtils::VecMult<T,nChan>()(rowResult, p, *kup++);
90 p += nTxChan;
91 // accumulate remaining elements
92 while (p != pRowEnd) {
93 // rowResult[i] = p[i] * ku[u] for i in {0..n-1}
94 PtexUtils::VecAccum<T,nChan>()(rowResult, p, *kup++);
95 p += nTxChan;
96 }
97 // result[i] += rowResult[i] * kv[v] for i in {0..n-1}
98 PtexUtils::VecAccum<float,nChan>()(result, rowResult, *kvp++);
99 p += rowskip;
100 }
101 }
102
103 // apply to N channels (general case)
104 template<class T>
105 void ApplyN(PtexSeparableKernel& k, float* result, void* data, int nChan, int nTxChan)
106 {
107 float* rowResult = (float*) alloca(nChan*sizeof(float));
108 int rowlen = k.res.u() * nTxChan;
109 int datalen = k.uw * nTxChan;
110 int rowskip = rowlen - datalen;
111 float* kvp = k.kv;
112 T* p = static_cast<T*>(data) + (k.v * k.res.u() + k.u) * nTxChan;
113 T* pEnd = p + k.vw * rowlen;
114 while (p != pEnd)
115 {
116 float* kup = k.ku;
117 T* pRowEnd = p + datalen;
118 // just mult and copy first element
119 PtexUtils::VecMultN<T>()(rowResult, p, nChan, *kup++);
120 p += nTxChan;
121 // accumulate remaining elements
122 while (p != pRowEnd) {
123 // rowResult[i] = p[i] * ku[u] for i in {0..n-1}
124 PtexUtils::VecAccumN<T>()(rowResult, p, nChan, *kup++);
125 p += nTxChan;
126 }
127 // result[i] += rowResult[i] * kv[v] for i in {0..n-1}
128 PtexUtils::VecAccumN<float>()(result, rowResult, nChan, *kvp++);
129 p += rowskip;
130 }
131 }
132}
133
134
135
136 PtexSeparableKernel::ApplyFn
137 PtexSeparableKernel::applyFunctions[] = {
138 // nChan == nTxChan
139 ApplyN<uint8_t>, ApplyN<uint16_t>, ApplyN<PtexHalf>, ApplyN<float>,
140 Apply<uint8_t,1>, Apply<uint16_t,1>, Apply<PtexHalf,1>, Apply<float,1>,
141 Apply<uint8_t,2>, Apply<uint16_t,2>, Apply<PtexHalf,2>, Apply<float,2>,
142 Apply<uint8_t,3>, Apply<uint16_t,3>, Apply<PtexHalf,3>, Apply<float,3>,
143 Apply<uint8_t,4>, Apply<uint16_t,4>, Apply<PtexHalf,4>, Apply<float,4>,
144
145 // nChan != nTxChan (need pixel stride)
146 ApplyN<uint8_t>, ApplyN<uint16_t>, ApplyN<PtexHalf>, ApplyN<float>,
147 ApplyS<uint8_t,1>, ApplyS<uint16_t,1>, ApplyS<PtexHalf,1>, ApplyS<float,1>,
148 ApplyS<uint8_t,2>, ApplyS<uint16_t,2>, ApplyS<PtexHalf,2>, ApplyS<float,2>,
149 ApplyS<uint8_t,3>, ApplyS<uint16_t,3>, ApplyS<PtexHalf,3>, ApplyS<float,3>,
150 ApplyS<uint8_t,4>, ApplyS<uint16_t,4>, ApplyS<PtexHalf,4>, ApplyS<float,4>,
151};
152
153 PTEX_NAMESPACE_END
PtexHalf.h
Half-precision floating-point type.
PtexPlatform.h
Platform-specific classes, functions, and includes.
PtexSeparableKernel.h
PtexUtils.h
PTEX_NAMESPACE_END
#define PTEX_NAMESPACE_END
Definition PtexVersion.h:62
PtexSeparableKernel
Definition PtexSeparableKernel.h:48
PtexSeparableKernel::u
int u
Definition PtexSeparableKernel.h:51
PtexSeparableKernel::kv
float * kv
Definition PtexSeparableKernel.h:54
PtexSeparableKernel::res
Res res
Definition PtexSeparableKernel.h:50
PtexSeparableKernel::ApplyFn
void(* ApplyFn)(PtexSeparableKernel &k, float *dst, void *data, int nChan, int nTxChan)
Definition PtexSeparableKernel.h:470
PtexSeparableKernel::applyFunctions
static ApplyFn applyFunctions[40]
Definition PtexSeparableKernel.h:137
PtexSeparableKernel::vw
int vw
Definition PtexSeparableKernel.h:52
PtexSeparableKernel::v
int v
Definition PtexSeparableKernel.h:51
PtexSeparableKernel::ku
float * ku
Definition PtexSeparableKernel.h:53
PtexSeparableKernel::uw
int uw
Definition PtexSeparableKernel.h:52
PTEX_NAMESPACE_BEGIN
Definition PtexSeparableKernel.cpp:42
PTEX_NAMESPACE_BEGIN::ApplyN
void ApplyN(PtexSeparableKernel &k, float *result, void *data, int nChan, int nTxChan)
Definition PtexSeparableKernel.cpp:105
PTEX_NAMESPACE_BEGIN::ApplyS
void ApplyS(PtexSeparableKernel &k, float *result, void *data, int, int nTxChan)
Definition PtexSeparableKernel.cpp:75
PTEX_NAMESPACE_BEGIN::Apply
void Apply(PtexSeparableKernel &k, float *result, void *data, int, int)
Definition PtexSeparableKernel.cpp:45
PtexUtils::VecAccumN
Definition PtexUtils.h:229
PtexUtils::VecAccum
Definition PtexUtils.h:215
PtexUtils::VecMultN
Definition PtexUtils.h:252
PtexUtils::VecMult
Definition PtexUtils.h:238