ref: 7d7577ec541f4396576ea65512da063e4987abe4
parent: 2d36522991a313585a2e1895500d95ff522fc373
parent: 3a0f25ea3afa5a492507a36b4187ec5c03167c63
author: Linfeng Zhang <linfengz@google.com>
date: Tue May 8 12:50:33 EDT 2018
Merge "Add vpx_sum_squares_2d_i16_neon()"
--- a/test/sum_squares_test.cc
+++ b/test/sum_squares_test.cc
@@ -104,6 +104,13 @@
using ::testing::make_tuple;
+#if HAVE_NEON
+INSTANTIATE_TEST_CASE_P(
+ NEON, SumSquaresTest,
+ ::testing::Values(make_tuple(&vpx_sum_squares_2d_i16_c,
+ &vpx_sum_squares_2d_i16_neon)));
+#endif // HAVE_NEON
+
#if HAVE_SSE2
INSTANTIATE_TEST_CASE_P(
SSE2, SumSquaresTest,
--- /dev/null
+++ b/vpx_dsp/arm/sum_squares_neon.c
@@ -1,0 +1,85 @@
+/*
+ * Copyright (c) 2018 The WebM project authors. All Rights Reserved.
+ *
+ * Use of this source code is governed by a BSD-style license
+ * that can be found in the LICENSE file in the root of the source
+ * tree. An additional intellectual property rights grant can be found
+ * in the file PATENTS. All contributing project authors may
+ * be found in the AUTHORS file in the root of the source tree.
+ */
+
+#include <arm_neon.h>
+
+#include <assert.h>
+#include "./vpx_dsp_rtcd.h"
+
+uint64_t vpx_sum_squares_2d_i16_neon(const int16_t *src, int stride, int size) {
+ int64x1_t s2;
+
+ if (size == 4) {
+ int16x4_t s[4];
+ int32x4_t s0;
+ uint32x2_t s1;
+
+ s[0] = vld1_s16(src + 0 * stride);
+ s[1] = vld1_s16(src + 1 * stride);
+ s[2] = vld1_s16(src + 2 * stride);
+ s[3] = vld1_s16(src + 3 * stride);
+ s0 = vmull_s16(s[0], s[0]);
+ s0 = vmlal_s16(s0, s[1], s[1]);
+ s0 = vmlal_s16(s0, s[2], s[2]);
+ s0 = vmlal_s16(s0, s[3], s[3]);
+ s1 = vpadd_u32(vget_low_u32(vreinterpretq_u32_s32(s0)),
+ vget_high_u32(vreinterpretq_u32_s32(s0)));
+ s2 = vpaddl_u32(s1);
+ } else {
+ int r = size;
+ uint64x2_t s1 = vdupq_n_u64(0);
+
+ do {
+ int c = size;
+ int32x4_t s0 = vdupq_n_s32(0);
+ const int16_t *src_t = src;
+
+ do {
+ int16x8_t s[8];
+
+ s[0] = vld1q_s16(src_t + 0 * stride);
+ s[1] = vld1q_s16(src_t + 1 * stride);
+ s[2] = vld1q_s16(src_t + 2 * stride);
+ s[3] = vld1q_s16(src_t + 3 * stride);
+ s[4] = vld1q_s16(src_t + 4 * stride);
+ s[5] = vld1q_s16(src_t + 5 * stride);
+ s[6] = vld1q_s16(src_t + 6 * stride);
+ s[7] = vld1q_s16(src_t + 7 * stride);
+ s0 = vmlal_s16(s0, vget_low_s16(s[0]), vget_low_s16(s[0]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[1]), vget_low_s16(s[1]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[2]), vget_low_s16(s[2]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[3]), vget_low_s16(s[3]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[4]), vget_low_s16(s[4]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[5]), vget_low_s16(s[5]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[6]), vget_low_s16(s[6]));
+ s0 = vmlal_s16(s0, vget_low_s16(s[7]), vget_low_s16(s[7]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[0]), vget_high_s16(s[0]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[1]), vget_high_s16(s[1]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[2]), vget_high_s16(s[2]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[3]), vget_high_s16(s[3]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[4]), vget_high_s16(s[4]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[5]), vget_high_s16(s[5]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[6]), vget_high_s16(s[6]));
+ s0 = vmlal_s16(s0, vget_high_s16(s[7]), vget_high_s16(s[7]));
+ src_t += 8;
+ c -= 8;
+ } while (c);
+
+ s1 = vaddw_u32(s1, vget_low_u32(vreinterpretq_u32_s32(s0)));
+ s1 = vaddw_u32(s1, vget_high_u32(vreinterpretq_u32_s32(s0)));
+ src += 8 * stride;
+ r -= 8;
+ } while (r);
+
+ s2 = vadd_u64(vget_low_u64(s1), vget_high_u64(s1));
+ }
+
+ return vget_lane_u64(s2, 0);
+}
--- a/vpx_dsp/vpx_dsp.mk
+++ b/vpx_dsp/vpx_dsp.mk
@@ -312,6 +312,7 @@
DSP_SRCS-yes += sad.c
DSP_SRCS-yes += subtract.c
DSP_SRCS-yes += sum_squares.c
+DSP_SRCS-$(HAVE_NEON) += arm/sum_squares_neon.c
DSP_SRCS-$(HAVE_SSE2) += x86/sum_squares_sse2.c
DSP_SRCS-$(HAVE_MSA) += mips/sum_squares_msa.c
--- a/vpx_dsp/vpx_dsp_rtcd_defs.pl
+++ b/vpx_dsp/vpx_dsp_rtcd_defs.pl
@@ -922,7 +922,7 @@
specialize qw/vpx_sad4x4x4d neon msa sse2 mmi/;
add_proto qw/uint64_t vpx_sum_squares_2d_i16/, "const int16_t *src, int stride, int size";
-specialize qw/vpx_sum_squares_2d_i16 sse2 msa/;
+specialize qw/vpx_sum_squares_2d_i16 neon sse2 msa/;
#
# Structured Similarity (SSIM)