| /* |
| * Copyright (C) 2012 The Android Open Source Project |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| |
| #include "rsdCore.h" |
| #include "rsdIntrinsics.h" |
| #include "rsdAllocation.h" |
| |
| #include "rsdIntrinsicInlines.h" |
| |
| using namespace android; |
| using namespace android::renderscript; |
| |
| struct ConvolveParams { |
| float fp[28]; |
| short ip[28]; |
| ObjectBaseRef<Allocation> alloc; |
| }; |
| |
| static void Convolve5x5_Bind(const Context *dc, const Script *script, |
| void * intrinsicData, uint32_t slot, Allocation *data) { |
| ConvolveParams *cp = (ConvolveParams *)intrinsicData; |
| rsAssert(slot == 1); |
| cp->alloc.set(data); |
| } |
| |
| static void Convolve5x5_SetVar(const Context *dc, const Script *script, void * intrinsicData, |
| uint32_t slot, void *data, size_t dataLength) { |
| ConvolveParams *cp = (ConvolveParams *)intrinsicData; |
| |
| rsAssert(slot == 0); |
| memcpy (cp->fp, data, dataLength); |
| for(int ct=0; ct < 25; ct++) { |
| cp->ip[ct] = (short)(cp->fp[ct] * 255.f + 0.5f); |
| } |
| } |
| |
| |
| static void One(const RsForEachStubParamStruct *p, uint32_t x, uchar4 *out, |
| const uchar4 *py0, const uchar4 *py1, const uchar4 *py2, const uchar4 *py3, const uchar4 *py4, |
| const float* coeff) { |
| |
| uint32_t x0 = rsMax((int32_t)x-2, 0); |
| uint32_t x1 = rsMax((int32_t)x-1, 0); |
| uint32_t x2 = x; |
| uint32_t x3 = rsMin((int32_t)x+1, (int32_t)(p->dimX-1)); |
| uint32_t x4 = rsMin((int32_t)x+2, (int32_t)(p->dimX-1)); |
| |
| float4 px = convert_float4(py0[x0]) * coeff[0] + |
| convert_float4(py0[x1]) * coeff[1] + |
| convert_float4(py0[x2]) * coeff[2] + |
| convert_float4(py0[x3]) * coeff[3] + |
| convert_float4(py0[x4]) * coeff[4] + |
| |
| convert_float4(py1[x0]) * coeff[5] + |
| convert_float4(py1[x1]) * coeff[6] + |
| convert_float4(py1[x2]) * coeff[7] + |
| convert_float4(py1[x3]) * coeff[8] + |
| convert_float4(py1[x4]) * coeff[9] + |
| |
| convert_float4(py2[x0]) * coeff[10] + |
| convert_float4(py2[x1]) * coeff[11] + |
| convert_float4(py2[x2]) * coeff[12] + |
| convert_float4(py2[x3]) * coeff[13] + |
| convert_float4(py2[x4]) * coeff[14] + |
| |
| convert_float4(py3[x0]) * coeff[15] + |
| convert_float4(py3[x1]) * coeff[16] + |
| convert_float4(py3[x2]) * coeff[17] + |
| convert_float4(py3[x3]) * coeff[18] + |
| convert_float4(py3[x4]) * coeff[19] + |
| |
| convert_float4(py4[x0]) * coeff[20] + |
| convert_float4(py4[x1]) * coeff[21] + |
| convert_float4(py4[x2]) * coeff[22] + |
| convert_float4(py4[x3]) * coeff[23] + |
| convert_float4(py4[x4]) * coeff[24]; |
| |
| px = clamp(px, 0.f, 255.f); |
| uchar4 o = {(uchar)px.x, (uchar)px.y, (uchar)px.z, (uchar)px.w}; |
| *out = o; |
| } |
| |
| extern "C" void rsdIntrinsicConvolve5x5_K(void *dst, const void *y0, const void *y1, |
| const void *y2, const void *y3, const void *y4, |
| const short *coef, uint32_t count); |
| |
| static void Convolve5x5_uchar4(const RsForEachStubParamStruct *p, |
| uint32_t xstart, uint32_t xend, |
| uint32_t instep, uint32_t outstep) { |
| ConvolveParams *cp = (ConvolveParams *)p->usr; |
| if (!cp->alloc.get()) { |
| ALOGE("Convolve5x5 executed without input, skipping"); |
| return; |
| } |
| DrvAllocation *din = (DrvAllocation *)cp->alloc->mHal.drv; |
| const uchar *pin = (const uchar *)din->lod[0].mallocPtr; |
| |
| uint32_t y0 = rsMax((int32_t)p->y-2, 0); |
| uint32_t y1 = rsMax((int32_t)p->y-1, 0); |
| uint32_t y2 = p->y; |
| uint32_t y3 = rsMin((int32_t)p->y+1, (int32_t)(p->dimY-1)); |
| uint32_t y4 = rsMin((int32_t)p->y+2, (int32_t)(p->dimY-1)); |
| |
| const uchar4 *py0 = (const uchar4 *)(pin + din->lod[0].stride * y0); |
| const uchar4 *py1 = (const uchar4 *)(pin + din->lod[0].stride * y1); |
| const uchar4 *py2 = (const uchar4 *)(pin + din->lod[0].stride * y2); |
| const uchar4 *py3 = (const uchar4 *)(pin + din->lod[0].stride * y3); |
| const uchar4 *py4 = (const uchar4 *)(pin + din->lod[0].stride * y4); |
| |
| uchar4 *out = (uchar4 *)p->out; |
| uint32_t x1 = xstart; |
| uint32_t x2 = xend; |
| |
| while((x1 < x2) && (x1 < 2)) { |
| One(p, x1, out, py0, py1, py2, py3, py4, cp->fp); |
| out++; |
| x1++; |
| } |
| |
| #if defined(ARCH_ARM_HAVE_NEON) |
| if((x1 + 3) < x2) { |
| uint32_t len = (x2 - x1 - 3) >> 1; |
| rsdIntrinsicConvolve5x5_K(out, py0, py1, py2, py3, py4, cp->ip, len); |
| out += len << 1; |
| x1 += len << 1; |
| } |
| #endif |
| |
| while(x1 < x2) { |
| One(p, x1, out, py0, py1, py2, py3, py4, cp->fp); |
| out++; |
| x1++; |
| } |
| } |
| |
| void * rsdIntrinsic_InitConvolve5x5(const android::renderscript::Context *dc, |
| android::renderscript::Script *script, |
| RsdIntriniscFuncs_t *funcs) { |
| |
| script->mHal.info.exportedVariableCount = 2; |
| funcs->setVarObj = Convolve5x5_Bind; |
| funcs->setVar = Convolve5x5_SetVar; |
| funcs->root = Convolve5x5_uchar4; |
| |
| ConvolveParams *cp = (ConvolveParams *)calloc(1, sizeof(ConvolveParams)); |
| for(int ct=0; ct < 25; ct++) { |
| cp->fp[ct] = 1.f / 25.f; |
| cp->ip[ct] = (short)(cp->fp[ct] * 255.f + 0.5f); |
| } |
| return cp; |
| } |
| |
| |