e45a2872fa
PMCs, and with Apple's CHUD it's fairly easy too. No reason to keep useless
code around
2) make the PPC perf stuff a configure option
3) make put_pixels16_altivec a bit faster by unrolling the loop by 4
patch by (Romain Dolbeau <dolbeau at irisa dot fr>)
Originally committed as revision 2022 to svn://svn.ffmpeg.org/ffmpeg/trunk
646 lines
24 KiB
C
646 lines
24 KiB
C
/*
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* Copyright (c) 2002 Dieter Shirley
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*/
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#include <stdlib.h>
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#include <stdio.h>
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#include "../dsputil.h"
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#include "../mpegvideo.h"
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#include "gcc_fixes.h"
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#include "dsputil_altivec.h"
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// Swaps two variables (used for altivec registers)
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#define SWAP(a,b) \
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do { \
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__typeof__(a) swap_temp=a; \
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a=b; \
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b=swap_temp; \
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} while (0)
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// transposes a matrix consisting of four vectors with four elements each
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#define TRANSPOSE4(a,b,c,d) \
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do { \
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__typeof__(a) _trans_ach = vec_mergeh(a, c); \
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__typeof__(a) _trans_acl = vec_mergel(a, c); \
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__typeof__(a) _trans_bdh = vec_mergeh(b, d); \
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__typeof__(a) _trans_bdl = vec_mergel(b, d); \
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\
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a = vec_mergeh(_trans_ach, _trans_bdh); \
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b = vec_mergel(_trans_ach, _trans_bdh); \
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c = vec_mergeh(_trans_acl, _trans_bdl); \
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d = vec_mergel(_trans_acl, _trans_bdl); \
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} while (0)
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#define TRANSPOSE8(a,b,c,d,e,f,g,h) \
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do { \
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__typeof__(a) _A1, _B1, _C1, _D1, _E1, _F1, _G1, _H1; \
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__typeof__(a) _A2, _B2, _C2, _D2, _E2, _F2, _G2, _H2; \
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\
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_A1 = vec_mergeh (a, e); \
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_B1 = vec_mergel (a, e); \
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_C1 = vec_mergeh (b, f); \
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_D1 = vec_mergel (b, f); \
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_E1 = vec_mergeh (c, g); \
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_F1 = vec_mergel (c, g); \
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_G1 = vec_mergeh (d, h); \
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_H1 = vec_mergel (d, h); \
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\
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_A2 = vec_mergeh (_A1, _E1); \
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_B2 = vec_mergel (_A1, _E1); \
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_C2 = vec_mergeh (_B1, _F1); \
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_D2 = vec_mergel (_B1, _F1); \
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_E2 = vec_mergeh (_C1, _G1); \
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_F2 = vec_mergel (_C1, _G1); \
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_G2 = vec_mergeh (_D1, _H1); \
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_H2 = vec_mergel (_D1, _H1); \
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\
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a = vec_mergeh (_A2, _E2); \
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b = vec_mergel (_A2, _E2); \
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c = vec_mergeh (_B2, _F2); \
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d = vec_mergel (_B2, _F2); \
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e = vec_mergeh (_C2, _G2); \
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f = vec_mergel (_C2, _G2); \
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g = vec_mergeh (_D2, _H2); \
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h = vec_mergel (_D2, _H2); \
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} while (0)
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// Loads a four-byte value (int or float) from the target address
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// into every element in the target vector. Only works if the
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// target address is four-byte aligned (which should be always).
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#define LOAD4(vec, address) \
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{ \
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__typeof__(vec)* _load_addr = (__typeof__(vec)*)(address); \
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vector unsigned char _perm_vec = vec_lvsl(0,(address)); \
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vec = vec_ld(0, _load_addr); \
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vec = vec_perm(vec, vec, _perm_vec); \
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vec = vec_splat(vec, 0); \
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}
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#ifdef CONFIG_DARWIN
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#define FOUROF(a) (a)
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#else
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// slower, for dumb non-apple GCC
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#define FOUROF(a) {a,a,a,a}
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#endif
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int dct_quantize_altivec(MpegEncContext* s,
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DCTELEM* data, int n,
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int qscale, int* overflow)
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{
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int lastNonZero;
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vector float row0, row1, row2, row3, row4, row5, row6, row7;
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vector float alt0, alt1, alt2, alt3, alt4, alt5, alt6, alt7;
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const vector float zero = (const vector float)FOUROF(0.);
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// Load the data into the row/alt vectors
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{
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vector signed short data0, data1, data2, data3, data4, data5, data6, data7;
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data0 = vec_ld(0, data);
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data1 = vec_ld(16, data);
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data2 = vec_ld(32, data);
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data3 = vec_ld(48, data);
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data4 = vec_ld(64, data);
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data5 = vec_ld(80, data);
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data6 = vec_ld(96, data);
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data7 = vec_ld(112, data);
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// Transpose the data before we start
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TRANSPOSE8(data0, data1, data2, data3, data4, data5, data6, data7);
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// load the data into floating point vectors. We load
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// the high half of each row into the main row vectors
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// and the low half into the alt vectors.
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row0 = vec_ctf(vec_unpackh(data0), 0);
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alt0 = vec_ctf(vec_unpackl(data0), 0);
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row1 = vec_ctf(vec_unpackh(data1), 0);
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alt1 = vec_ctf(vec_unpackl(data1), 0);
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row2 = vec_ctf(vec_unpackh(data2), 0);
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alt2 = vec_ctf(vec_unpackl(data2), 0);
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row3 = vec_ctf(vec_unpackh(data3), 0);
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alt3 = vec_ctf(vec_unpackl(data3), 0);
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row4 = vec_ctf(vec_unpackh(data4), 0);
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alt4 = vec_ctf(vec_unpackl(data4), 0);
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row5 = vec_ctf(vec_unpackh(data5), 0);
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alt5 = vec_ctf(vec_unpackl(data5), 0);
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row6 = vec_ctf(vec_unpackh(data6), 0);
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alt6 = vec_ctf(vec_unpackl(data6), 0);
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row7 = vec_ctf(vec_unpackh(data7), 0);
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alt7 = vec_ctf(vec_unpackl(data7), 0);
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}
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// The following block could exist as a separate an altivec dct
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// function. However, if we put it inline, the DCT data can remain
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// in the vector local variables, as floats, which we'll use during the
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// quantize step...
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{
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const vector float vec_0_298631336 = (vector float)FOUROF(0.298631336f);
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const vector float vec_0_390180644 = (vector float)FOUROF(-0.390180644f);
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const vector float vec_0_541196100 = (vector float)FOUROF(0.541196100f);
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const vector float vec_0_765366865 = (vector float)FOUROF(0.765366865f);
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const vector float vec_0_899976223 = (vector float)FOUROF(-0.899976223f);
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const vector float vec_1_175875602 = (vector float)FOUROF(1.175875602f);
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const vector float vec_1_501321110 = (vector float)FOUROF(1.501321110f);
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const vector float vec_1_847759065 = (vector float)FOUROF(-1.847759065f);
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const vector float vec_1_961570560 = (vector float)FOUROF(-1.961570560f);
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const vector float vec_2_053119869 = (vector float)FOUROF(2.053119869f);
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const vector float vec_2_562915447 = (vector float)FOUROF(-2.562915447f);
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const vector float vec_3_072711026 = (vector float)FOUROF(3.072711026f);
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int whichPass, whichHalf;
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for(whichPass = 1; whichPass<=2; whichPass++)
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{
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for(whichHalf = 1; whichHalf<=2; whichHalf++)
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{
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vector float tmp0, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7;
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vector float tmp10, tmp11, tmp12, tmp13;
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vector float z1, z2, z3, z4, z5;
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tmp0 = vec_add(row0, row7); // tmp0 = dataptr[0] + dataptr[7];
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tmp7 = vec_sub(row0, row7); // tmp7 = dataptr[0] - dataptr[7];
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tmp3 = vec_add(row3, row4); // tmp3 = dataptr[3] + dataptr[4];
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tmp4 = vec_sub(row3, row4); // tmp4 = dataptr[3] - dataptr[4];
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tmp1 = vec_add(row1, row6); // tmp1 = dataptr[1] + dataptr[6];
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tmp6 = vec_sub(row1, row6); // tmp6 = dataptr[1] - dataptr[6];
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tmp2 = vec_add(row2, row5); // tmp2 = dataptr[2] + dataptr[5];
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tmp5 = vec_sub(row2, row5); // tmp5 = dataptr[2] - dataptr[5];
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tmp10 = vec_add(tmp0, tmp3); // tmp10 = tmp0 + tmp3;
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tmp13 = vec_sub(tmp0, tmp3); // tmp13 = tmp0 - tmp3;
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tmp11 = vec_add(tmp1, tmp2); // tmp11 = tmp1 + tmp2;
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tmp12 = vec_sub(tmp1, tmp2); // tmp12 = tmp1 - tmp2;
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// dataptr[0] = (DCTELEM) ((tmp10 + tmp11) << PASS1_BITS);
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row0 = vec_add(tmp10, tmp11);
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// dataptr[4] = (DCTELEM) ((tmp10 - tmp11) << PASS1_BITS);
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row4 = vec_sub(tmp10, tmp11);
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// z1 = MULTIPLY(tmp12 + tmp13, FIX_0_541196100);
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z1 = vec_madd(vec_add(tmp12, tmp13), vec_0_541196100, (vector float)zero);
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// dataptr[2] = (DCTELEM) DESCALE(z1 + MULTIPLY(tmp13, FIX_0_765366865),
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// CONST_BITS-PASS1_BITS);
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row2 = vec_madd(tmp13, vec_0_765366865, z1);
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// dataptr[6] = (DCTELEM) DESCALE(z1 + MULTIPLY(tmp12, - FIX_1_847759065),
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// CONST_BITS-PASS1_BITS);
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row6 = vec_madd(tmp12, vec_1_847759065, z1);
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z1 = vec_add(tmp4, tmp7); // z1 = tmp4 + tmp7;
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z2 = vec_add(tmp5, tmp6); // z2 = tmp5 + tmp6;
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z3 = vec_add(tmp4, tmp6); // z3 = tmp4 + tmp6;
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z4 = vec_add(tmp5, tmp7); // z4 = tmp5 + tmp7;
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// z5 = MULTIPLY(z3 + z4, FIX_1_175875602); /* sqrt(2) * c3 */
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z5 = vec_madd(vec_add(z3, z4), vec_1_175875602, (vector float)zero);
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// z3 = MULTIPLY(z3, - FIX_1_961570560); /* sqrt(2) * (-c3-c5) */
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z3 = vec_madd(z3, vec_1_961570560, z5);
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// z4 = MULTIPLY(z4, - FIX_0_390180644); /* sqrt(2) * (c5-c3) */
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z4 = vec_madd(z4, vec_0_390180644, z5);
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// The following adds are rolled into the multiplies above
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// z3 = vec_add(z3, z5); // z3 += z5;
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// z4 = vec_add(z4, z5); // z4 += z5;
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// z2 = MULTIPLY(z2, - FIX_2_562915447); /* sqrt(2) * (-c1-c3) */
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// Wow! It's actually more effecient to roll this multiply
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// into the adds below, even thought the multiply gets done twice!
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// z2 = vec_madd(z2, vec_2_562915447, (vector float)zero);
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// z1 = MULTIPLY(z1, - FIX_0_899976223); /* sqrt(2) * (c7-c3) */
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// Same with this one...
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// z1 = vec_madd(z1, vec_0_899976223, (vector float)zero);
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// tmp4 = MULTIPLY(tmp4, FIX_0_298631336); /* sqrt(2) * (-c1+c3+c5-c7) */
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// dataptr[7] = (DCTELEM) DESCALE(tmp4 + z1 + z3, CONST_BITS-PASS1_BITS);
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row7 = vec_madd(tmp4, vec_0_298631336, vec_madd(z1, vec_0_899976223, z3));
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// tmp5 = MULTIPLY(tmp5, FIX_2_053119869); /* sqrt(2) * ( c1+c3-c5+c7) */
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// dataptr[5] = (DCTELEM) DESCALE(tmp5 + z2 + z4, CONST_BITS-PASS1_BITS);
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row5 = vec_madd(tmp5, vec_2_053119869, vec_madd(z2, vec_2_562915447, z4));
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// tmp6 = MULTIPLY(tmp6, FIX_3_072711026); /* sqrt(2) * ( c1+c3+c5-c7) */
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// dataptr[3] = (DCTELEM) DESCALE(tmp6 + z2 + z3, CONST_BITS-PASS1_BITS);
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row3 = vec_madd(tmp6, vec_3_072711026, vec_madd(z2, vec_2_562915447, z3));
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// tmp7 = MULTIPLY(tmp7, FIX_1_501321110); /* sqrt(2) * ( c1+c3-c5-c7) */
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// dataptr[1] = (DCTELEM) DESCALE(tmp7 + z1 + z4, CONST_BITS-PASS1_BITS);
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row1 = vec_madd(z1, vec_0_899976223, vec_madd(tmp7, vec_1_501321110, z4));
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// Swap the row values with the alts. If this is the first half,
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// this sets up the low values to be acted on in the second half.
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// If this is the second half, it puts the high values back in
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// the row values where they are expected to be when we're done.
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SWAP(row0, alt0);
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SWAP(row1, alt1);
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SWAP(row2, alt2);
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SWAP(row3, alt3);
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SWAP(row4, alt4);
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SWAP(row5, alt5);
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SWAP(row6, alt6);
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SWAP(row7, alt7);
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}
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if (whichPass == 1)
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{
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// transpose the data for the second pass
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// First, block transpose the upper right with lower left.
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SWAP(row4, alt0);
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SWAP(row5, alt1);
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SWAP(row6, alt2);
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SWAP(row7, alt3);
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// Now, transpose each block of four
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TRANSPOSE4(row0, row1, row2, row3);
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TRANSPOSE4(row4, row5, row6, row7);
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TRANSPOSE4(alt0, alt1, alt2, alt3);
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TRANSPOSE4(alt4, alt5, alt6, alt7);
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}
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}
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}
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// used after quantise step
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int oldBaseValue = 0;
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// perform the quantise step, using the floating point data
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// still in the row/alt registers
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{
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const int* biasAddr;
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const vector signed int* qmat;
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vector float bias, negBias;
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if (s->mb_intra)
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{
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vector signed int baseVector;
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// We must cache element 0 in the intra case
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// (it needs special handling).
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baseVector = vec_cts(vec_splat(row0, 0), 0);
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vec_ste(baseVector, 0, &oldBaseValue);
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qmat = (vector signed int*)s->q_intra_matrix[qscale];
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biasAddr = &(s->intra_quant_bias);
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}
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else
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{
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qmat = (vector signed int*)s->q_inter_matrix[qscale];
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biasAddr = &(s->inter_quant_bias);
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}
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// Load the bias vector (We add 0.5 to the bias so that we're
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// rounding when we convert to int, instead of flooring.)
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{
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vector signed int biasInt;
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const vector float negOneFloat = (vector float)FOUROF(-1.0f);
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LOAD4(biasInt, biasAddr);
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bias = vec_ctf(biasInt, QUANT_BIAS_SHIFT);
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negBias = vec_madd(bias, negOneFloat, zero);
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}
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{
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vector float q0, q1, q2, q3, q4, q5, q6, q7;
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q0 = vec_ctf(qmat[0], QMAT_SHIFT);
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q1 = vec_ctf(qmat[2], QMAT_SHIFT);
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q2 = vec_ctf(qmat[4], QMAT_SHIFT);
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q3 = vec_ctf(qmat[6], QMAT_SHIFT);
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q4 = vec_ctf(qmat[8], QMAT_SHIFT);
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q5 = vec_ctf(qmat[10], QMAT_SHIFT);
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q6 = vec_ctf(qmat[12], QMAT_SHIFT);
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q7 = vec_ctf(qmat[14], QMAT_SHIFT);
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row0 = vec_sel(vec_madd(row0, q0, negBias), vec_madd(row0, q0, bias),
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vec_cmpgt(row0, zero));
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row1 = vec_sel(vec_madd(row1, q1, negBias), vec_madd(row1, q1, bias),
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vec_cmpgt(row1, zero));
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row2 = vec_sel(vec_madd(row2, q2, negBias), vec_madd(row2, q2, bias),
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vec_cmpgt(row2, zero));
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row3 = vec_sel(vec_madd(row3, q3, negBias), vec_madd(row3, q3, bias),
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vec_cmpgt(row3, zero));
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row4 = vec_sel(vec_madd(row4, q4, negBias), vec_madd(row4, q4, bias),
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vec_cmpgt(row4, zero));
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row5 = vec_sel(vec_madd(row5, q5, negBias), vec_madd(row5, q5, bias),
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vec_cmpgt(row5, zero));
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row6 = vec_sel(vec_madd(row6, q6, negBias), vec_madd(row6, q6, bias),
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vec_cmpgt(row6, zero));
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row7 = vec_sel(vec_madd(row7, q7, negBias), vec_madd(row7, q7, bias),
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vec_cmpgt(row7, zero));
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q0 = vec_ctf(qmat[1], QMAT_SHIFT);
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q1 = vec_ctf(qmat[3], QMAT_SHIFT);
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q2 = vec_ctf(qmat[5], QMAT_SHIFT);
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q3 = vec_ctf(qmat[7], QMAT_SHIFT);
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q4 = vec_ctf(qmat[9], QMAT_SHIFT);
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q5 = vec_ctf(qmat[11], QMAT_SHIFT);
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q6 = vec_ctf(qmat[13], QMAT_SHIFT);
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q7 = vec_ctf(qmat[15], QMAT_SHIFT);
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alt0 = vec_sel(vec_madd(alt0, q0, negBias), vec_madd(alt0, q0, bias),
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vec_cmpgt(alt0, zero));
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alt1 = vec_sel(vec_madd(alt1, q1, negBias), vec_madd(alt1, q1, bias),
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vec_cmpgt(alt1, zero));
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alt2 = vec_sel(vec_madd(alt2, q2, negBias), vec_madd(alt2, q2, bias),
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vec_cmpgt(alt2, zero));
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alt3 = vec_sel(vec_madd(alt3, q3, negBias), vec_madd(alt3, q3, bias),
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|
vec_cmpgt(alt3, zero));
|
|
alt4 = vec_sel(vec_madd(alt4, q4, negBias), vec_madd(alt4, q4, bias),
|
|
vec_cmpgt(alt4, zero));
|
|
alt5 = vec_sel(vec_madd(alt5, q5, negBias), vec_madd(alt5, q5, bias),
|
|
vec_cmpgt(alt5, zero));
|
|
alt6 = vec_sel(vec_madd(alt6, q6, negBias), vec_madd(alt6, q6, bias),
|
|
vec_cmpgt(alt6, zero));
|
|
alt7 = vec_sel(vec_madd(alt7, q7, negBias), vec_madd(alt7, q7, bias),
|
|
vec_cmpgt(alt7, zero));
|
|
}
|
|
|
|
|
|
}
|
|
|
|
// Store the data back into the original block
|
|
{
|
|
vector signed short data0, data1, data2, data3, data4, data5, data6, data7;
|
|
|
|
data0 = vec_pack(vec_cts(row0, 0), vec_cts(alt0, 0));
|
|
data1 = vec_pack(vec_cts(row1, 0), vec_cts(alt1, 0));
|
|
data2 = vec_pack(vec_cts(row2, 0), vec_cts(alt2, 0));
|
|
data3 = vec_pack(vec_cts(row3, 0), vec_cts(alt3, 0));
|
|
data4 = vec_pack(vec_cts(row4, 0), vec_cts(alt4, 0));
|
|
data5 = vec_pack(vec_cts(row5, 0), vec_cts(alt5, 0));
|
|
data6 = vec_pack(vec_cts(row6, 0), vec_cts(alt6, 0));
|
|
data7 = vec_pack(vec_cts(row7, 0), vec_cts(alt7, 0));
|
|
|
|
{
|
|
// Clamp for overflow
|
|
vector signed int max_q_int, min_q_int;
|
|
vector signed short max_q, min_q;
|
|
|
|
LOAD4(max_q_int, &(s->max_qcoeff));
|
|
LOAD4(min_q_int, &(s->min_qcoeff));
|
|
|
|
max_q = vec_pack(max_q_int, max_q_int);
|
|
min_q = vec_pack(min_q_int, min_q_int);
|
|
|
|
data0 = vec_max(vec_min(data0, max_q), min_q);
|
|
data1 = vec_max(vec_min(data1, max_q), min_q);
|
|
data2 = vec_max(vec_min(data2, max_q), min_q);
|
|
data4 = vec_max(vec_min(data4, max_q), min_q);
|
|
data5 = vec_max(vec_min(data5, max_q), min_q);
|
|
data6 = vec_max(vec_min(data6, max_q), min_q);
|
|
data7 = vec_max(vec_min(data7, max_q), min_q);
|
|
}
|
|
|
|
vector bool char zero_01, zero_23, zero_45, zero_67;
|
|
vector signed char scanIndices_01, scanIndices_23, scanIndices_45, scanIndices_67;
|
|
vector signed char negOne = vec_splat_s8(-1);
|
|
vector signed char* scanPtr =
|
|
(vector signed char*)(s->intra_scantable.inverse);
|
|
|
|
// Determine the largest non-zero index.
|
|
zero_01 = vec_pack(vec_cmpeq(data0, (vector short)zero),
|
|
vec_cmpeq(data1, (vector short)zero));
|
|
zero_23 = vec_pack(vec_cmpeq(data2, (vector short)zero),
|
|
vec_cmpeq(data3, (vector short)zero));
|
|
zero_45 = vec_pack(vec_cmpeq(data4, (vector short)zero),
|
|
vec_cmpeq(data5, (vector short)zero));
|
|
zero_67 = vec_pack(vec_cmpeq(data6, (vector short)zero),
|
|
vec_cmpeq(data7, (vector short)zero));
|
|
|
|
// 64 biggest values
|
|
scanIndices_01 = vec_sel(scanPtr[0], negOne, zero_01);
|
|
scanIndices_23 = vec_sel(scanPtr[1], negOne, zero_23);
|
|
scanIndices_45 = vec_sel(scanPtr[2], negOne, zero_45);
|
|
scanIndices_67 = vec_sel(scanPtr[3], negOne, zero_67);
|
|
|
|
// 32 largest values
|
|
scanIndices_01 = vec_max(scanIndices_01, scanIndices_23);
|
|
scanIndices_45 = vec_max(scanIndices_45, scanIndices_67);
|
|
|
|
// 16 largest values
|
|
scanIndices_01 = vec_max(scanIndices_01, scanIndices_45);
|
|
|
|
// 8 largest values
|
|
scanIndices_01 = vec_max(vec_mergeh(scanIndices_01, negOne),
|
|
vec_mergel(scanIndices_01, negOne));
|
|
|
|
// 4 largest values
|
|
scanIndices_01 = vec_max(vec_mergeh(scanIndices_01, negOne),
|
|
vec_mergel(scanIndices_01, negOne));
|
|
|
|
// 2 largest values
|
|
scanIndices_01 = vec_max(vec_mergeh(scanIndices_01, negOne),
|
|
vec_mergel(scanIndices_01, negOne));
|
|
|
|
// largest value
|
|
scanIndices_01 = vec_max(vec_mergeh(scanIndices_01, negOne),
|
|
vec_mergel(scanIndices_01, negOne));
|
|
|
|
scanIndices_01 = vec_splat(scanIndices_01, 0);
|
|
|
|
signed char lastNonZeroChar;
|
|
|
|
vec_ste(scanIndices_01, 0, &lastNonZeroChar);
|
|
|
|
lastNonZero = lastNonZeroChar;
|
|
|
|
// While the data is still in vectors we check for the transpose IDCT permute
|
|
// and handle it using the vector unit if we can. This is the permute used
|
|
// by the altivec idct, so it is common when using the altivec dct.
|
|
|
|
if ((lastNonZero > 0) && (s->dsp.idct_permutation_type == FF_TRANSPOSE_IDCT_PERM))
|
|
{
|
|
TRANSPOSE8(data0, data1, data2, data3, data4, data5, data6, data7);
|
|
}
|
|
|
|
vec_st(data0, 0, data);
|
|
vec_st(data1, 16, data);
|
|
vec_st(data2, 32, data);
|
|
vec_st(data3, 48, data);
|
|
vec_st(data4, 64, data);
|
|
vec_st(data5, 80, data);
|
|
vec_st(data6, 96, data);
|
|
vec_st(data7, 112, data);
|
|
}
|
|
|
|
// special handling of block[0]
|
|
if (s->mb_intra)
|
|
{
|
|
if (!s->h263_aic)
|
|
{
|
|
if (n < 4)
|
|
oldBaseValue /= s->y_dc_scale;
|
|
else
|
|
oldBaseValue /= s->c_dc_scale;
|
|
}
|
|
|
|
// Divide by 8, rounding the result
|
|
data[0] = (oldBaseValue + 4) >> 3;
|
|
}
|
|
|
|
// We handled the tranpose permutation above and we don't
|
|
// need to permute the "no" permutation case.
|
|
if ((lastNonZero > 0) &&
|
|
(s->dsp.idct_permutation_type != FF_TRANSPOSE_IDCT_PERM) &&
|
|
(s->dsp.idct_permutation_type != FF_NO_IDCT_PERM))
|
|
{
|
|
ff_block_permute(data, s->dsp.idct_permutation,
|
|
s->intra_scantable.scantable, lastNonZero);
|
|
}
|
|
|
|
return lastNonZero;
|
|
}
|
|
#undef FOUROF
|
|
|
|
/*
|
|
AltiVec version of dct_unquantize_h263
|
|
this code assumes `block' is 16 bytes-aligned
|
|
*/
|
|
void dct_unquantize_h263_altivec(MpegEncContext *s,
|
|
DCTELEM *block, int n, int qscale)
|
|
{
|
|
POWERPC_PERF_DECLARE(altivec_dct_unquantize_h263_num, 1);
|
|
int i, level, qmul, qadd;
|
|
int nCoeffs;
|
|
|
|
assert(s->block_last_index[n]>=0);
|
|
|
|
POWERPC_PERF_START_COUNT(altivec_dct_unquantize_h263_num, 1);
|
|
|
|
qadd = (qscale - 1) | 1;
|
|
qmul = qscale << 1;
|
|
|
|
if (s->mb_intra) {
|
|
if (!s->h263_aic) {
|
|
if (n < 4)
|
|
block[0] = block[0] * s->y_dc_scale;
|
|
else
|
|
block[0] = block[0] * s->c_dc_scale;
|
|
}else
|
|
qadd = 0;
|
|
i = 1;
|
|
nCoeffs= 63; //does not allways use zigzag table
|
|
} else {
|
|
i = 0;
|
|
nCoeffs= s->intra_scantable.raster_end[ s->block_last_index[n] ];
|
|
}
|
|
|
|
#ifdef ALTIVEC_USE_REFERENCE_C_CODE
|
|
for(;i<=nCoeffs;i++) {
|
|
level = block[i];
|
|
if (level) {
|
|
if (level < 0) {
|
|
level = level * qmul - qadd;
|
|
} else {
|
|
level = level * qmul + qadd;
|
|
}
|
|
block[i] = level;
|
|
}
|
|
}
|
|
#else /* ALTIVEC_USE_REFERENCE_C_CODE */
|
|
{
|
|
register const vector short vczero = (const vector short)vec_splat_s16(0);
|
|
short __attribute__ ((aligned(16))) qmul8[] =
|
|
{
|
|
qmul, qmul, qmul, qmul,
|
|
qmul, qmul, qmul, qmul
|
|
};
|
|
short __attribute__ ((aligned(16))) qadd8[] =
|
|
{
|
|
qadd, qadd, qadd, qadd,
|
|
qadd, qadd, qadd, qadd
|
|
};
|
|
short __attribute__ ((aligned(16))) nqadd8[] =
|
|
{
|
|
-qadd, -qadd, -qadd, -qadd,
|
|
-qadd, -qadd, -qadd, -qadd
|
|
};
|
|
register vector short blockv, qmulv, qaddv, nqaddv, temp1;
|
|
register vector bool short blockv_null, blockv_neg;
|
|
register short backup_0 = block[0];
|
|
register int j = 0;
|
|
|
|
qmulv = vec_ld(0, qmul8);
|
|
qaddv = vec_ld(0, qadd8);
|
|
nqaddv = vec_ld(0, nqadd8);
|
|
|
|
#if 0 // block *is* 16 bytes-aligned, it seems.
|
|
// first make sure block[j] is 16 bytes-aligned
|
|
for(j = 0; (j <= nCoeffs) && ((((unsigned long)block) + (j << 1)) & 0x0000000F) ; j++) {
|
|
level = block[j];
|
|
if (level) {
|
|
if (level < 0) {
|
|
level = level * qmul - qadd;
|
|
} else {
|
|
level = level * qmul + qadd;
|
|
}
|
|
block[j] = level;
|
|
}
|
|
}
|
|
#endif
|
|
|
|
// vectorize all the 16 bytes-aligned blocks
|
|
// of 8 elements
|
|
for(; (j + 7) <= nCoeffs ; j+=8)
|
|
{
|
|
blockv = vec_ld(j << 1, block);
|
|
blockv_neg = vec_cmplt(blockv, vczero);
|
|
blockv_null = vec_cmpeq(blockv, vczero);
|
|
// choose between +qadd or -qadd as the third operand
|
|
temp1 = vec_sel(qaddv, nqaddv, blockv_neg);
|
|
// multiply & add (block{i,i+7} * qmul [+-] qadd)
|
|
temp1 = vec_mladd(blockv, qmulv, temp1);
|
|
// put 0 where block[{i,i+7} used to have 0
|
|
blockv = vec_sel(temp1, blockv, blockv_null);
|
|
vec_st(blockv, j << 1, block);
|
|
}
|
|
|
|
// if nCoeffs isn't a multiple of 8, finish the job
|
|
// using good old scalar units.
|
|
// (we could do it using a truncated vector,
|
|
// but I'm not sure it's worth the hassle)
|
|
for(; j <= nCoeffs ; j++) {
|
|
level = block[j];
|
|
if (level) {
|
|
if (level < 0) {
|
|
level = level * qmul - qadd;
|
|
} else {
|
|
level = level * qmul + qadd;
|
|
}
|
|
block[j] = level;
|
|
}
|
|
}
|
|
|
|
if (i == 1)
|
|
{ // cheat. this avoid special-casing the first iteration
|
|
block[0] = backup_0;
|
|
}
|
|
}
|
|
#endif /* ALTIVEC_USE_REFERENCE_C_CODE */
|
|
|
|
POWERPC_PERF_STOP_COUNT(altivec_dct_unquantize_h263_num, nCoeffs == 63);
|
|
}
|