Add m-esr52 at 52.6.0

1 files changed, 311 insertions, 0 deletions

diff --git a/media/libopus/celt/arm/celt_neon_intr.c b/media/libopus/celt/arm/celt_neon_intr.c
new file mode 100644
index 000000000..47bbe3dc2
--- /dev/null
+++ b/media/libopus/celt/arm/celt_neon_intr.c
@@ -0,0 +1,311 @@
+/* Copyright (c) 2014-2015 Xiph.Org Foundation
+   Written by Viswanath Puttagunta */
+/**
+   @file celt_neon_intr.c
+   @brief ARM Neon Intrinsic optimizations for celt
+ */
+
+/*
+   Redistribution and use in source and binary forms, with or without
+   modification, are permitted provided that the following conditions
+   are met:
+
+   - Redistributions of source code must retain the above copyright
+   notice, this list of conditions and the following disclaimer.
+
+   - Redistributions in binary form must reproduce the above copyright
+   notice, this list of conditions and the following disclaimer in the
+   documentation and/or other materials provided with the distribution.
+
+   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+   ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+   A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+   OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+   EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+   PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+   PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+   LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+   NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include <arm_neon.h>
+#include "../pitch.h"
+
+#if defined(FIXED_POINT)
+void xcorr_kernel_neon_fixed(const opus_val16 * x, const opus_val16 * y, opus_val32 sum[4], int len)
+{
+   int j;
+   int32x4_t a = vld1q_s32(sum);
+   /* Load y[0...3] */
+   /* This requires len>0 to always be valid (which we assert in the C code). */
+   int16x4_t y0 = vld1_s16(y);
+   y += 4;
+
+   for (j = 0; j + 8 <= len; j += 8)
+   {
+      /* Load x[0...7] */
+      int16x8_t xx = vld1q_s16(x);
+      int16x4_t x0 = vget_low_s16(xx);
+      int16x4_t x4 = vget_high_s16(xx);
+      /* Load y[4...11] */
+      int16x8_t yy = vld1q_s16(y);
+      int16x4_t y4 = vget_low_s16(yy);
+      int16x4_t y8 = vget_high_s16(yy);
+      int32x4_t a0 = vmlal_lane_s16(a, y0, x0, 0);
+      int32x4_t a1 = vmlal_lane_s16(a0, y4, x4, 0);
+
+      int16x4_t y1 = vext_s16(y0, y4, 1);
+      int16x4_t y5 = vext_s16(y4, y8, 1);
+      int32x4_t a2 = vmlal_lane_s16(a1, y1, x0, 1);
+      int32x4_t a3 = vmlal_lane_s16(a2, y5, x4, 1);
+
+      int16x4_t y2 = vext_s16(y0, y4, 2);
+      int16x4_t y6 = vext_s16(y4, y8, 2);
+      int32x4_t a4 = vmlal_lane_s16(a3, y2, x0, 2);
+      int32x4_t a5 = vmlal_lane_s16(a4, y6, x4, 2);
+
+      int16x4_t y3 = vext_s16(y0, y4, 3);
+      int16x4_t y7 = vext_s16(y4, y8, 3);
+      int32x4_t a6 = vmlal_lane_s16(a5, y3, x0, 3);
+      int32x4_t a7 = vmlal_lane_s16(a6, y7, x4, 3);
+
+      y0 = y8;
+      a = a7;
+      x += 8;
+      y += 8;
+   }
+
+   for (; j < len; j++)
+   {
+      int16x4_t x0 = vld1_dup_s16(x);  /* load next x */
+      int32x4_t a0 = vmlal_s16(a, y0, x0);
+
+      int16x4_t y4 = vld1_dup_s16(y);  /* load next y */
+      y0 = vext_s16(y0, y4, 1);
+      a = a0;
+      x++;
+      y++;
+   }
+
+   vst1q_s32(sum, a);
+}
+
+#else
+/*
+ * Function: xcorr_kernel_neon_float
+ * ---------------------------------
+ * Computes 4 correlation values and stores them in sum[4]
+ */
+static void xcorr_kernel_neon_float(const float32_t *x, const float32_t *y,
+      float32_t sum[4], int len) {
+   float32x4_t YY[3];
+   float32x4_t YEXT[3];
+   float32x4_t XX[2];
+   float32x2_t XX_2;
+   float32x4_t SUMM;
+   const float32_t *xi = x;
+   const float32_t *yi = y;
+
+   celt_assert(len>0);
+
+   YY[0] = vld1q_f32(yi);
+   SUMM = vdupq_n_f32(0);
+
+   /* Consume 8 elements in x vector and 12 elements in y
+    * vector. However, the 12'th element never really gets
+    * touched in this loop. So, if len == 8, then we only
+    * must access y[0] to y[10]. y[11] must not be accessed
+    * hence make sure len > 8 and not len >= 8
+    */
+   while (len > 8) {
+      yi += 4;
+      YY[1] = vld1q_f32(yi);
+      yi += 4;
+      YY[2] = vld1q_f32(yi);
+
+      XX[0] = vld1q_f32(xi);
+      xi += 4;
+      XX[1] = vld1q_f32(xi);
+      xi += 4;
+
+      SUMM = vmlaq_lane_f32(SUMM, YY[0], vget_low_f32(XX[0]), 0);
+      YEXT[0] = vextq_f32(YY[0], YY[1], 1);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[0], vget_low_f32(XX[0]), 1);
+      YEXT[1] = vextq_f32(YY[0], YY[1], 2);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[1], vget_high_f32(XX[0]), 0);
+      YEXT[2] = vextq_f32(YY[0], YY[1], 3);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[2], vget_high_f32(XX[0]), 1);
+
+      SUMM = vmlaq_lane_f32(SUMM, YY[1], vget_low_f32(XX[1]), 0);
+      YEXT[0] = vextq_f32(YY[1], YY[2], 1);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[0], vget_low_f32(XX[1]), 1);
+      YEXT[1] = vextq_f32(YY[1], YY[2], 2);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[1], vget_high_f32(XX[1]), 0);
+      YEXT[2] = vextq_f32(YY[1], YY[2], 3);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[2], vget_high_f32(XX[1]), 1);
+
+      YY[0] = YY[2];
+      len -= 8;
+   }
+
+   /* Consume 4 elements in x vector and 8 elements in y
+    * vector. However, the 8'th element in y never really gets
+    * touched in this loop. So, if len == 4, then we only
+    * must access y[0] to y[6]. y[7] must not be accessed
+    * hence make sure len>4 and not len>=4
+    */
+   if (len > 4) {
+      yi += 4;
+      YY[1] = vld1q_f32(yi);
+
+      XX[0] = vld1q_f32(xi);
+      xi += 4;
+
+      SUMM = vmlaq_lane_f32(SUMM, YY[0], vget_low_f32(XX[0]), 0);
+      YEXT[0] = vextq_f32(YY[0], YY[1], 1);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[0], vget_low_f32(XX[0]), 1);
+      YEXT[1] = vextq_f32(YY[0], YY[1], 2);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[1], vget_high_f32(XX[0]), 0);
+      YEXT[2] = vextq_f32(YY[0], YY[1], 3);
+      SUMM = vmlaq_lane_f32(SUMM, YEXT[2], vget_high_f32(XX[0]), 1);
+
+      YY[0] = YY[1];
+      len -= 4;
+   }
+
+   while (--len > 0) {
+      XX_2 = vld1_dup_f32(xi++);
+      SUMM = vmlaq_lane_f32(SUMM, YY[0], XX_2, 0);
+      YY[0]= vld1q_f32(++yi);
+   }
+
+   XX_2 = vld1_dup_f32(xi);
+   SUMM = vmlaq_lane_f32(SUMM, YY[0], XX_2, 0);
+
+   vst1q_f32(sum, SUMM);
+}
+
+/*
+ * Function: xcorr_kernel_neon_float_process1
+ * ---------------------------------
+ * Computes single correlation values and stores in *sum
+ */
+static void xcorr_kernel_neon_float_process1(const float32_t *x,
+      const float32_t *y, float32_t *sum, int len) {
+   float32x4_t XX[4];
+   float32x4_t YY[4];
+   float32x2_t XX_2;
+   float32x2_t YY_2;
+   float32x4_t SUMM;
+   float32x2_t SUMM_2[2];
+   const float32_t *xi = x;
+   const float32_t *yi = y;
+
+   SUMM = vdupq_n_f32(0);
+
+   /* Work on 16 values per iteration */
+   while (len >= 16) {
+      XX[0] = vld1q_f32(xi);
+      xi += 4;
+      XX[1] = vld1q_f32(xi);
+      xi += 4;
+      XX[2] = vld1q_f32(xi);
+      xi += 4;
+      XX[3] = vld1q_f32(xi);
+      xi += 4;
+
+      YY[0] = vld1q_f32(yi);
+      yi += 4;
+      YY[1] = vld1q_f32(yi);
+      yi += 4;
+      YY[2] = vld1q_f32(yi);
+      yi += 4;
+      YY[3] = vld1q_f32(yi);
+      yi += 4;
+
+      SUMM = vmlaq_f32(SUMM, YY[0], XX[0]);
+      SUMM = vmlaq_f32(SUMM, YY[1], XX[1]);
+      SUMM = vmlaq_f32(SUMM, YY[2], XX[2]);
+      SUMM = vmlaq_f32(SUMM, YY[3], XX[3]);
+      len -= 16;
+   }
+
+   /* Work on 8 values */
+   if (len >= 8) {
+      XX[0] = vld1q_f32(xi);
+      xi += 4;
+      XX[1] = vld1q_f32(xi);
+      xi += 4;
+
+      YY[0] = vld1q_f32(yi);
+      yi += 4;
+      YY[1] = vld1q_f32(yi);
+      yi += 4;
+
+      SUMM = vmlaq_f32(SUMM, YY[0], XX[0]);
+      SUMM = vmlaq_f32(SUMM, YY[1], XX[1]);
+      len -= 8;
+   }
+
+   /* Work on 4 values */
+   if (len >= 4) {
+      XX[0] = vld1q_f32(xi);
+      xi += 4;
+      YY[0] = vld1q_f32(yi);
+      yi += 4;
+      SUMM = vmlaq_f32(SUMM, YY[0], XX[0]);
+      len -= 4;
+   }
+
+   /* Start accumulating results */
+   SUMM_2[0] = vget_low_f32(SUMM);
+   if (len >= 2) {
+      /* While at it, consume 2 more values if available */
+      XX_2 = vld1_f32(xi);
+      xi += 2;
+      YY_2 = vld1_f32(yi);
+      yi += 2;
+      SUMM_2[0] = vmla_f32(SUMM_2[0], YY_2, XX_2);
+      len -= 2;
+   }
+   SUMM_2[1] = vget_high_f32(SUMM);
+   SUMM_2[0] = vadd_f32(SUMM_2[0], SUMM_2[1]);
+   SUMM_2[0] = vpadd_f32(SUMM_2[0], SUMM_2[0]);
+   /* Ok, now we have result accumulated in SUMM_2[0].0 */
+
+   if (len > 0) {
+      /* Case when you have one value left */
+      XX_2 = vld1_dup_f32(xi);
+      YY_2 = vld1_dup_f32(yi);
+      SUMM_2[0] = vmla_f32(SUMM_2[0], XX_2, YY_2);
+   }
+
+   vst1_lane_f32(sum, SUMM_2[0], 0);
+}
+
+void celt_pitch_xcorr_float_neon(const opus_val16 *_x, const opus_val16 *_y,
+                        opus_val32 *xcorr, int len, int max_pitch) {
+   int i;
+   celt_assert(max_pitch > 0);
+   celt_assert((((unsigned char *)_x-(unsigned char *)NULL)&3)==0);
+
+   for (i = 0; i < (max_pitch-3); i += 4) {
+      xcorr_kernel_neon_float((const float32_t *)_x, (const float32_t *)_y+i,
+            (float32_t *)xcorr+i, len);
+   }
+
+   /* In case max_pitch isn't multiple of 4
+    * compute single correlation value per iteration
+    */
+   for (; i < max_pitch; i++) {
+      xcorr_kernel_neon_float_process1((const float32_t *)_x,
+            (const float32_t *)_y+i, (float32_t *)xcorr+i, len);
+   }
+}
+#endif