Adding upstream version 124.0.1.upstream/124.0.1

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 348 insertions, 0 deletions

diff --git a/third_party/aom/av1/common/arm/wiener_convolve_neon.c b/third_party/aom/av1/common/arm/wiener_convolve_neon.c
new file mode 100644
index 0000000000..6440c16adb
--- /dev/null
+++ b/third_party/aom/av1/common/arm/wiener_convolve_neon.c
@@ -0,0 +1,348 @@
+/*
+ * Copyright (c) 2018, Alliance for Open Media. All rights reserved
+ *
+ * This source code is subject to the terms of the BSD 2 Clause License and
+ * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
+ * was not distributed with this source code in the LICENSE file, you can
+ * obtain it at www.aomedia.org/license/software. If the Alliance for Open
+ * Media Patent License 1.0 was not distributed with this source code in the
+ * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
+ */
+
+#include <arm_neon.h>
+#include <assert.h>
+
+#include "config/aom_config.h"
+#include "config/av1_rtcd.h"
+
+#include "aom_dsp/arm/mem_neon.h"
+#include "aom_dsp/arm/transpose_neon.h"
+#include "aom_dsp/txfm_common.h"
+#include "aom_ports/mem.h"
+#include "av1/common/common.h"
+#include "av1/common/restoration.h"
+
+static INLINE uint16x8_t wiener_convolve5_8_2d_h(
+    const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2,
+    const uint8x8_t t3, const uint8x8_t t4, const int16x4_t x_filter,
+    const int32x4_t round_vec, const uint16x8_t im_max_val) {
+  // Since the Wiener filter is symmetric about the middle tap (tap 2) add
+  // mirrored source elements before multiplying filter coefficients.
+  int16x8_t s04 = vreinterpretq_s16_u16(vaddl_u8(t0, t4));
+  int16x8_t s13 = vreinterpretq_s16_u16(vaddl_u8(t1, t3));
+  int16x8_t s2 = vreinterpretq_s16_u16(vmovl_u8(t2));
+
+  // x_filter[0] = 0. (5-tap filters are 0-padded to 7 taps.)
+  int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), x_filter, 1);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), x_filter, 2);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), x_filter, 3);
+
+  int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), x_filter, 1);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), x_filter, 2);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), x_filter, 3);
+
+  uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS),
+                                vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS));
+
+  return vminq_u16(res, im_max_val);
+}
+
+static INLINE void convolve_add_src_horiz_5tap_neon(
+    const uint8_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr,
+    ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter,
+    const int32x4_t round_vec, const uint16x8_t im_max_val) {
+  do {
+    const uint8_t *s = src_ptr;
+    uint16_t *d = dst_ptr;
+    int width = w;
+
+    do {
+      uint8x8_t s0, s1, s2, s3, s4;
+      load_u8_8x5(s, 1, &s0, &s1, &s2, &s3, &s4);
+
+      uint16x8_t d0 = wiener_convolve5_8_2d_h(s0, s1, s2, s3, s4, x_filter,
+                                              round_vec, im_max_val);
+
+      vst1q_u16(d, d0);
+
+      s += 8;
+      d += 8;
+      width -= 8;
+    } while (width != 0);
+    src_ptr += src_stride;
+    dst_ptr += dst_stride;
+  } while (--h != 0);
+}
+
+static INLINE uint16x8_t wiener_convolve7_8_2d_h(
+    const uint8x8_t t0, const uint8x8_t t1, const uint8x8_t t2,
+    const uint8x8_t t3, const uint8x8_t t4, const uint8x8_t t5,
+    const uint8x8_t t6, const int16x4_t x_filter, const int32x4_t round_vec,
+    const uint16x8_t im_max_val) {
+  // Since the Wiener filter is symmetric about the middle tap (tap 3) add
+  // mirrored source elements before multiplying by filter coefficients.
+  int16x8_t s06 = vreinterpretq_s16_u16(vaddl_u8(t0, t6));
+  int16x8_t s15 = vreinterpretq_s16_u16(vaddl_u8(t1, t5));
+  int16x8_t s24 = vreinterpretq_s16_u16(vaddl_u8(t2, t4));
+  int16x8_t s3 = vreinterpretq_s16_u16(vmovl_u8(t3));
+
+  int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s06), x_filter, 0);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), x_filter, 1);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), x_filter, 2);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), x_filter, 3);
+
+  int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), x_filter, 0);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), x_filter, 1);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), x_filter, 2);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), x_filter, 3);
+
+  uint16x8_t res = vcombine_u16(vqrshrun_n_s32(sum_lo, WIENER_ROUND0_BITS),
+                                vqrshrun_n_s32(sum_hi, WIENER_ROUND0_BITS));
+
+  return vminq_u16(res, im_max_val);
+}
+
+static INLINE void convolve_add_src_horiz_7tap_neon(
+    const uint8_t *src_ptr, ptrdiff_t src_stride, uint16_t *dst_ptr,
+    ptrdiff_t dst_stride, int w, int h, const int16x4_t x_filter,
+    const int32x4_t round_vec, const uint16x8_t im_max_val) {
+  do {
+    const uint8_t *s = src_ptr;
+    uint16_t *d = dst_ptr;
+    int width = w;
+
+    do {
+      uint8x8_t s0, s1, s2, s3, s4, s5, s6;
+      load_u8_8x7(s, 1, &s0, &s1, &s2, &s3, &s4, &s5, &s6);
+
+      uint16x8_t d0 = wiener_convolve7_8_2d_h(s0, s1, s2, s3, s4, s5, s6,
+                                              x_filter, round_vec, im_max_val);
+
+      vst1q_u16(d, d0);
+
+      s += 8;
+      d += 8;
+      width -= 8;
+    } while (width != 0);
+    src_ptr += src_stride;
+    dst_ptr += dst_stride;
+  } while (--h != 0);
+}
+
+static INLINE uint8x8_t wiener_convolve5_8_2d_v(
+    const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
+    const int16x8_t s3, const int16x8_t s4, const int16x4_t y_filter,
+    const int32x4_t round_vec) {
+  // Since the Wiener filter is symmetric about the middle tap (tap 2) add
+  // mirrored source elements before multiplying by filter coefficients.
+  int16x8_t s04 = vaddq_s16(s0, s4);
+  int16x8_t s13 = vaddq_s16(s1, s3);
+
+  int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s04), y_filter, 1);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s13), y_filter, 2);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s2), y_filter, 3);
+
+  int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s04), y_filter, 1);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s13), y_filter, 2);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s2), y_filter, 3);
+
+  int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS);
+  int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS);
+
+  return vqmovun_s16(vcombine_s16(res_lo, res_hi));
+}
+
+static INLINE void convolve_add_src_vert_5tap_neon(
+    const uint16_t *src, ptrdiff_t src_stride, uint8_t *dst,
+    ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter,
+    const int32x4_t round_vec) {
+  do {
+    const int16_t *s = (int16_t *)src;
+    uint8_t *d = dst;
+    int height = h;
+
+    while (height > 3) {
+      int16x8_t s0, s1, s2, s3, s4, s5, s6, s7;
+      load_s16_8x8(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7);
+
+      uint8x8_t d0 =
+          wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec);
+      uint8x8_t d1 =
+          wiener_convolve5_8_2d_v(s1, s2, s3, s4, s5, y_filter, round_vec);
+      uint8x8_t d2 =
+          wiener_convolve5_8_2d_v(s2, s3, s4, s5, s6, y_filter, round_vec);
+      uint8x8_t d3 =
+          wiener_convolve5_8_2d_v(s3, s4, s5, s6, s7, y_filter, round_vec);
+
+      store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
+
+      s += 4 * src_stride;
+      d += 4 * dst_stride;
+      height -= 4;
+    }
+
+    while (height-- != 0) {
+      int16x8_t s0, s1, s2, s3, s4;
+      load_s16_8x5(s, src_stride, &s0, &s1, &s2, &s3, &s4);
+
+      uint8x8_t d0 =
+          wiener_convolve5_8_2d_v(s0, s1, s2, s3, s4, y_filter, round_vec);
+
+      vst1_u8(d, d0);
+
+      d += dst_stride;
+      s += src_stride;
+    }
+
+    src += 8;
+    dst += 8;
+    w -= 8;
+  } while (w != 0);
+}
+
+static INLINE uint8x8_t wiener_convolve7_8_2d_v(
+    const int16x8_t s0, const int16x8_t s1, const int16x8_t s2,
+    const int16x8_t s3, const int16x8_t s4, const int16x8_t s5,
+    const int16x8_t s6, const int16x4_t y_filter, const int32x4_t round_vec) {
+  // Since the Wiener filter is symmetric about the middle tap (tap 3) add
+  // mirrored source elements before multiplying by filter coefficients.
+  int16x8_t s06 = vaddq_s16(s0, s6);
+  int16x8_t s15 = vaddq_s16(s1, s5);
+  int16x8_t s24 = vaddq_s16(s2, s4);
+
+  int32x4_t sum_lo = vmlal_lane_s16(round_vec, vget_low_s16(s06), y_filter, 0);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s15), y_filter, 1);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s24), y_filter, 2);
+  sum_lo = vmlal_lane_s16(sum_lo, vget_low_s16(s3), y_filter, 3);
+
+  int32x4_t sum_hi = vmlal_lane_s16(round_vec, vget_high_s16(s06), y_filter, 0);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s15), y_filter, 1);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s24), y_filter, 2);
+  sum_hi = vmlal_lane_s16(sum_hi, vget_high_s16(s3), y_filter, 3);
+
+  int16x4_t res_lo = vshrn_n_s32(sum_lo, 2 * FILTER_BITS - WIENER_ROUND0_BITS);
+  int16x4_t res_hi = vshrn_n_s32(sum_hi, 2 * FILTER_BITS - WIENER_ROUND0_BITS);
+
+  return vqmovun_s16(vcombine_s16(res_lo, res_hi));
+}
+
+static INLINE void convolve_add_src_vert_7tap_neon(
+    const uint16_t *src, ptrdiff_t src_stride, uint8_t *dst,
+    ptrdiff_t dst_stride, int w, int h, const int16x4_t y_filter,
+    const int32x4_t round_vec) {
+  do {
+    const int16_t *s = (int16_t *)src;
+    uint8_t *d = dst;
+    int height = h;
+
+    while (height > 3) {
+      int16x8_t s0, s1, s2, s3, s4, s5, s6, s7, s8, s9;
+      load_s16_8x10(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6, &s7, &s8,
+                    &s9);
+
+      uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6,
+                                             y_filter, round_vec);
+      uint8x8_t d1 = wiener_convolve7_8_2d_v(s1, s2, s3, s4, s5, s6, s7,
+                                             y_filter, round_vec);
+      uint8x8_t d2 = wiener_convolve7_8_2d_v(s2, s3, s4, s5, s6, s7, s8,
+                                             y_filter, round_vec);
+      uint8x8_t d3 = wiener_convolve7_8_2d_v(s3, s4, s5, s6, s7, s8, s9,
+                                             y_filter, round_vec);
+
+      store_u8_8x4(d, dst_stride, d0, d1, d2, d3);
+
+      s += 4 * src_stride;
+      d += 4 * dst_stride;
+      height -= 4;
+    }
+
+    while (height-- != 0) {
+      int16x8_t s0, s1, s2, s3, s4, s5, s6;
+      load_s16_8x7(s, src_stride, &s0, &s1, &s2, &s3, &s4, &s5, &s6);
+
+      uint8x8_t d0 = wiener_convolve7_8_2d_v(s0, s1, s2, s3, s4, s5, s6,
+                                             y_filter, round_vec);
+
+      vst1_u8(d, d0);
+
+      d += dst_stride;
+      s += src_stride;
+    }
+
+    src += 8;
+    dst += 8;
+    w -= 8;
+  } while (w != 0);
+}
+
+static AOM_INLINE int get_wiener_filter_taps(const int16_t *filter) {
+  assert(filter[7] == 0);
+  if (filter[0] == 0 && filter[6] == 0) {
+    return WIENER_WIN_REDUCED;
+  }
+  return WIENER_WIN;
+}
+
+// Wiener filter 2D
+// Apply horizontal filter and store in a temporary buffer. When applying
+// vertical filter, overwrite the original pixel values.
+void av1_wiener_convolve_add_src_neon(const uint8_t *src, ptrdiff_t src_stride,
+                                      uint8_t *dst, ptrdiff_t dst_stride,
+                                      const int16_t *x_filter, int x_step_q4,
+                                      const int16_t *y_filter, int y_step_q4,
+                                      int w, int h,
+                                      const WienerConvolveParams *conv_params) {
+  (void)x_step_q4;
+  (void)y_step_q4;
+  (void)conv_params;
+
+  assert(w % 8 == 0);
+  assert(w <= MAX_SB_SIZE && h <= MAX_SB_SIZE);
+  assert(x_step_q4 == 16 && y_step_q4 == 16);
+  assert(x_filter[7] == 0 && y_filter[7] == 0);
+  // For bd == 8, assert horizontal filtering output will not exceed 15-bit:
+  assert(8 + 1 + FILTER_BITS - conv_params->round_0 <= 15);
+
+  DECLARE_ALIGNED(16, uint16_t,
+                  im_block[(MAX_SB_SIZE + WIENER_WIN - 1) * MAX_SB_SIZE]);
+
+  const int x_filter_taps = get_wiener_filter_taps(x_filter);
+  const int y_filter_taps = get_wiener_filter_taps(y_filter);
+  int16x4_t x_filter_s16 = vld1_s16(x_filter);
+  int16x4_t y_filter_s16 = vld1_s16(y_filter);
+  // Add 128 to tap 3. (Needed for rounding.)
+  x_filter_s16 = vadd_s16(x_filter_s16, vcreate_s16(128ULL << 48));
+  y_filter_s16 = vadd_s16(y_filter_s16, vcreate_s16(128ULL << 48));
+
+  const int im_stride = MAX_SB_SIZE;
+  const int im_h = h + y_filter_taps - 1;
+  const int horiz_offset = x_filter_taps / 2;
+  const int vert_offset = (y_filter_taps / 2) * (int)src_stride;
+
+  const int bd = 8;
+  const uint16x8_t im_max_val =
+      vdupq_n_u16((1 << (bd + 1 + FILTER_BITS - WIENER_ROUND0_BITS)) - 1);
+  const int32x4_t horiz_round_vec = vdupq_n_s32(1 << (bd + FILTER_BITS - 1));
+
+  const int32x4_t vert_round_vec =
+      vdupq_n_s32((1 << (2 * FILTER_BITS - WIENER_ROUND0_BITS - 1)) -
+                  (1 << (bd + (2 * FILTER_BITS - WIENER_ROUND0_BITS) - 1)));
+
+  if (x_filter_taps == WIENER_WIN_REDUCED) {
+    convolve_add_src_horiz_5tap_neon(src - horiz_offset - vert_offset,
+                                     src_stride, im_block, im_stride, w, im_h,
+                                     x_filter_s16, horiz_round_vec, im_max_val);
+  } else {
+    convolve_add_src_horiz_7tap_neon(src - horiz_offset - vert_offset,
+                                     src_stride, im_block, im_stride, w, im_h,
+                                     x_filter_s16, horiz_round_vec, im_max_val);
+  }
+
+  if (y_filter_taps == WIENER_WIN_REDUCED) {
+    convolve_add_src_vert_5tap_neon(im_block, im_stride, dst, dst_stride, w, h,
+                                    y_filter_s16, vert_round_vec);
+  } else {
+    convolve_add_src_vert_7tap_neon(im_block, im_stride, dst, dst_stride, w, h,
+                                    y_filter_s16, vert_round_vec);
+  }
+}