Merge "Reinstate tests for wedge partition selection optimizations." into nextgenv2
This commit is contained in:
Debargha Mukherjee
Gerrit Code Review
Коммит
fabc0ed7ad
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@ -185,6 +185,7 @@ ifeq ($(CONFIG_EXT_INTER),yes)
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LIBVPX_TEST_SRCS-$(HAVE_SSSE3) += masked_variance_test.cc
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LIBVPX_TEST_SRCS-$(HAVE_SSSE3) += masked_sad_test.cc
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LIBVPX_TEST_SRCS-$(CONFIG_VP10_ENCODER) += blend_mask6_test.cc
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LIBVPX_TEST_SRCS-$(CONFIG_VP10_ENCODER) += vp10_wedge_utils_test.cc
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endif
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ifeq ($(CONFIG_OBMC),yes)
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@ -22,6 +22,9 @@ extern void vp8_rtcd();
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#if CONFIG_VP9
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extern void vp9_rtcd();
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#endif // CONFIG_VP9
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#if CONFIG_VP10
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extern void vp10_rtcd();
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#endif // CONFIG_VP10
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extern void vpx_dsp_rtcd();
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extern void vpx_scale_rtcd();
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}
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@ -69,6 +72,9 @@ int main(int argc, char **argv) {
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#if CONFIG_VP9
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vp9_rtcd();
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#endif // CONFIG_VP9
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#if CONFIG_VP10
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vp10_rtcd();
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#endif // CONFIG_VP10
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vpx_dsp_rtcd();
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vpx_scale_rtcd();
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#endif // !CONFIG_SHARED
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@ -0,0 +1,415 @@
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/*
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* Copyright (c) 2016 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "third_party/googletest/src/include/gtest/gtest.h"
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#include "./vpx_config.h"
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#include "./vpx_dsp_rtcd.h"
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#include "./vp10_rtcd.h"
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#include "vpx_dsp/vpx_dsp_common.h"
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#include "vp10/common/enums.h"
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#include "test/acm_random.h"
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#include "test/function_equivalence_test.h"
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#define WEDGE_WEIGHT_BITS 6
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#define MAX_MASK_VALUE (1 << (WEDGE_WEIGHT_BITS))
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using std::tr1::make_tuple;
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using libvpx_test::ACMRandom;
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using libvpx_test::FunctionEquivalenceTest;
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namespace {
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static const int16_t kInt13Max = (1 << 12) - 1;
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//////////////////////////////////////////////////////////////////////////////
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// vp10_wedge_sse_from_residuals - functionality
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//////////////////////////////////////////////////////////////////////////////
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class WedgeUtilsSSEFuncTest : public testing::Test {
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protected:
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WedgeUtilsSSEFuncTest() : rng_(ACMRandom::DeterministicSeed()) {}
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static const int kIterations = 1000;
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ACMRandom rng_;
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};
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static void equiv_blend_residuals(int16_t *r,
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const int16_t *r0,
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const int16_t *r1,
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const uint8_t *m,
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int N) {
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for (int i = 0 ; i < N ; i++) {
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const int32_t m0 = m[i];
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const int32_t m1 = MAX_MASK_VALUE - m0;
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const int16_t R = m0 * r0[i] + m1 * r1[i];
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// Note that this rounding is designed to match the result
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// you would get when actually blending the 2 predictors and computing
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// the residuals.
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r[i] = ROUND_POWER_OF_TWO(R - 1, WEDGE_WEIGHT_BITS);
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}
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}
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static uint64_t equiv_sse_from_residuals(const int16_t *r0,
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const int16_t *r1,
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const uint8_t *m,
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int N) {
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uint64_t acc = 0;
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for (int i = 0 ; i < N ; i++) {
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const int32_t m0 = m[i];
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const int32_t m1 = MAX_MASK_VALUE - m0;
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const int16_t R = m0 * r0[i] + m1 * r1[i];
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const int32_t r = ROUND_POWER_OF_TWO(R - 1, WEDGE_WEIGHT_BITS);
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acc += r * r;
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}
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return acc;
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}
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TEST_F(WedgeUtilsSSEFuncTest, ResidualBlendingEquiv) {
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DECLARE_ALIGNED(32, uint8_t, s[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, p0[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, p1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, p[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r_ref[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r_tst[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
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for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
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s[i] = rng_.Rand8();
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m[i] = rng_(MAX_MASK_VALUE + 1);
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}
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const int w = 1 << (rng_(MAX_SB_SIZE_LOG2 + 1 - 3) + 3);
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const int h = 1 << (rng_(MAX_SB_SIZE_LOG2 + 1 - 3) + 3);
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const int N = w * h;
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for (int j = 0 ; j < N ; j++) {
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p0[j] = clamp(s[j] + rng_(33) - 16, 0, UINT8_MAX);
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p1[j] = clamp(s[j] + rng_(33) - 16, 0, UINT8_MAX);
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}
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vpx_blend_mask6(p, w, p0, w, p1, w, m, w, h, w, 0, 0);
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vpx_subtract_block(h, w, r0, w, s, w, p0, w);
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vpx_subtract_block(h, w, r1, w, s, w, p1, w);
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vpx_subtract_block(h, w, r_ref, w, s, w, p, w);
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equiv_blend_residuals(r_tst, r0, r1, m, N);
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for (int i = 0 ; i < N ; ++i)
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ASSERT_EQ(r_ref[i], r_tst[i]);
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uint64_t ref_sse = vpx_sum_squares_i16(r_ref, N);
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uint64_t tst_sse = equiv_sse_from_residuals(r0, r1, m, N);
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ASSERT_EQ(ref_sse, tst_sse);
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}
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}
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static uint64_t sse_from_residuals(const int16_t *r0,
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const int16_t *r1,
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const uint8_t *m,
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int N) {
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uint64_t acc = 0;
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for (int i = 0 ; i < N ; i++) {
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const int32_t m0 = m[i];
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const int32_t m1 = MAX_MASK_VALUE - m0;
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const int32_t r = m0 * r0[i] + m1 * r1[i];
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acc += r * r;
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}
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return ROUND_POWER_OF_TWO(acc, 2 * WEDGE_WEIGHT_BITS);
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}
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TEST_F(WedgeUtilsSSEFuncTest, ResidualBlendingMethod) {
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DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, d[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
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for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
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r1[i] = rng_(2 * INT8_MAX - 2 * INT8_MIN + 1) + 2 * INT8_MIN;
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d[i] = rng_(2 * INT8_MAX - 2 * INT8_MIN + 1) + 2 * INT8_MIN;
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m[i] = rng_(MAX_MASK_VALUE + 1);
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}
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const int N = 64 * (rng_(MAX_SB_SQUARE/64) + 1);
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for (int i = 0 ; i < N ; i++)
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r0[i] = r1[i] + d[i];
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uint64_t ref_res = sse_from_residuals(r0, r1, m, N);
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uint64_t tst_res = vp10_wedge_sse_from_residuals(r1, d, m, N);
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ASSERT_EQ(ref_res, tst_res);
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}
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}
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//////////////////////////////////////////////////////////////////////////////
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// vp10_wedge_sse_from_residuals - optimizations
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//////////////////////////////////////////////////////////////////////////////
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typedef uint64_t (*FSSE)(const int16_t *r1,
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const int16_t *d,
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const uint8_t *m,
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int N);
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class WedgeUtilsSSEOptTest : public FunctionEquivalenceTest<FSSE> {
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protected:
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WedgeUtilsSSEOptTest() : rng_(ACMRandom::DeterministicSeed()) {}
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static const int kIterations = 10000;
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ACMRandom rng_;
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};
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TEST_P(WedgeUtilsSSEOptTest, RandomValues) {
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DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, d[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
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for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
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r1[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
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d[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
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m[i] = rng_(MAX_MASK_VALUE + 1);
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}
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const int N = 64 * (rng_(MAX_SB_SQUARE/64) + 1);
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const uint64_t ref_res = ref_func_(r1, d, m, N);
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const uint64_t tst_res = tst_func_(r1, d, m, N);
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ASSERT_EQ(ref_res, tst_res);
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}
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}
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TEST_P(WedgeUtilsSSEOptTest, ExtremeValues) {
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DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, d[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
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for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
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if (rng_(2)) {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
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r1[i] = kInt13Max;
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} else {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
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r1[i] = -kInt13Max;
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}
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if (rng_(2)) {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
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d[i] = kInt13Max;
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} else {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
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d[i] = -kInt13Max;
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}
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
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m[i] = MAX_MASK_VALUE;
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const int N = 64 * (rng_(MAX_SB_SQUARE/64) + 1);
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const uint64_t ref_res = ref_func_(r1, d, m, N);
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const uint64_t tst_res = tst_func_(r1, d, m, N);
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ASSERT_EQ(ref_res, tst_res);
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}
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}
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#if HAVE_SSE2
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INSTANTIATE_TEST_CASE_P(
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SSE2, WedgeUtilsSSEOptTest,
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::testing::Values(
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make_tuple(&vp10_wedge_sse_from_residuals_c,
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&vp10_wedge_sse_from_residuals_sse2)
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)
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);
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#endif // HAVE_SSE2
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//////////////////////////////////////////////////////////////////////////////
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// vp10_wedge_sign_from_residuals
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//////////////////////////////////////////////////////////////////////////////
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typedef int (*FSign)(const int16_t *ds,
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const uint8_t *m,
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int N,
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int64_t limit);
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class WedgeUtilsSignOptTest : public FunctionEquivalenceTest<FSign> {
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protected:
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WedgeUtilsSignOptTest() : rng_(ACMRandom::DeterministicSeed()) {}
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static const int kIterations = 10000;
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static const int kMaxSize = 8196; // Size limited by SIMD implementation.
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ACMRandom rng_;
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};
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TEST_P(WedgeUtilsSignOptTest, RandomValues) {
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DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, ds[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
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for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
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r0[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
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r1[i] = rng_(2 * kInt13Max + 1) - kInt13Max;
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m[i] = rng_(MAX_MASK_VALUE + 1);
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}
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const int maxN = VPXMIN(kMaxSize, MAX_SB_SQUARE);
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const int N = 64 * (rng_(maxN/64 - 1) + 1);
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int64_t limit;
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limit = (int64_t)vpx_sum_squares_i16(r0, N);
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limit -= (int64_t)vpx_sum_squares_i16(r1, N);
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limit *= (1 << WEDGE_WEIGHT_BITS) / 2;
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for (int i = 0 ; i < N ; i++)
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ds[i] = clamp(r0[i]*r0[i] - r1[i]*r1[i], INT16_MIN, INT16_MAX);
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|
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const int ref_res = ref_func_(ds, m, N, limit);
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const int tst_res = tst_func_(ds, m, N, limit);
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|
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ASSERT_EQ(ref_res, tst_res);
|
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}
|
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}
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|
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TEST_P(WedgeUtilsSignOptTest, ExtremeValues) {
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DECLARE_ALIGNED(32, int16_t, r0[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, int16_t, r1[MAX_SB_SQUARE]);
|
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DECLARE_ALIGNED(32, int16_t, ds[MAX_SB_SQUARE]);
|
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DECLARE_ALIGNED(32, uint8_t, m[MAX_SB_SQUARE]);
|
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|
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for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
|
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switch (rng_(4)) {
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case 0:
|
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for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
|
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r0[i] = 0;
|
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r1[i] = kInt13Max;
|
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}
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break;
|
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case 1:
|
||||
for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
|
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r0[i] = kInt13Max;
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r1[i] = 0;
|
||||
}
|
||||
break;
|
||||
case 2:
|
||||
for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
|
||||
r0[i] = 0;
|
||||
r1[i] = -kInt13Max;
|
||||
}
|
||||
break;
|
||||
default:
|
||||
for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
|
||||
r0[i] = -kInt13Max;
|
||||
r1[i] = 0;
|
||||
}
|
||||
break;
|
||||
}
|
||||
|
||||
for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
|
||||
m[i] = MAX_MASK_VALUE;
|
||||
|
||||
const int maxN = VPXMIN(kMaxSize, MAX_SB_SQUARE);
|
||||
const int N = 64 * (rng_(maxN/64 - 1) + 1);
|
||||
|
||||
int64_t limit;
|
||||
limit = (int64_t)vpx_sum_squares_i16(r0, N);
|
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limit -= (int64_t)vpx_sum_squares_i16(r1, N);
|
||||
limit *= (1 << WEDGE_WEIGHT_BITS) / 2;
|
||||
|
||||
for (int i = 0 ; i < N ; i++)
|
||||
ds[i] = clamp(r0[i]*r0[i] - r1[i]*r1[i], INT16_MIN, INT16_MAX);
|
||||
|
||||
const int ref_res = ref_func_(ds, m, N, limit);
|
||||
const int tst_res = tst_func_(ds, m, N, limit);
|
||||
|
||||
ASSERT_EQ(ref_res, tst_res);
|
||||
}
|
||||
}
|
||||
|
||||
#if HAVE_SSE2
|
||||
INSTANTIATE_TEST_CASE_P(
|
||||
SSE2, WedgeUtilsSignOptTest,
|
||||
::testing::Values(
|
||||
make_tuple(&vp10_wedge_sign_from_residuals_c,
|
||||
&vp10_wedge_sign_from_residuals_sse2)
|
||||
)
|
||||
);
|
||||
#endif // HAVE_SSE2
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
// vp10_wedge_compute_delta_squares
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
typedef void (*FDS)(int16_t *d,
|
||||
const int16_t *a,
|
||||
const int16_t *b,
|
||||
int N);
|
||||
|
||||
class WedgeUtilsDeltaSquaresOptTest : public FunctionEquivalenceTest<FDS> {
|
||||
protected:
|
||||
WedgeUtilsDeltaSquaresOptTest() : rng_(ACMRandom::DeterministicSeed()) {}
|
||||
|
||||
static const int kIterations = 10000;
|
||||
|
||||
ACMRandom rng_;
|
||||
};
|
||||
|
||||
TEST_P(WedgeUtilsDeltaSquaresOptTest, RandomValues) {
|
||||
DECLARE_ALIGNED(32, int16_t, a[MAX_SB_SQUARE]);
|
||||
DECLARE_ALIGNED(32, int16_t, b[MAX_SB_SQUARE]);
|
||||
DECLARE_ALIGNED(32, int16_t, d_ref[MAX_SB_SQUARE]);
|
||||
DECLARE_ALIGNED(32, int16_t, d_tst[MAX_SB_SQUARE]);
|
||||
|
||||
for (int iter = 0 ; iter < kIterations && !HasFatalFailure(); ++iter) {
|
||||
for (int i = 0 ; i < MAX_SB_SQUARE ; ++i) {
|
||||
a[i] = rng_.Rand16();
|
||||
b[i] = rng_(2 * INT16_MAX + 1) - INT16_MAX;
|
||||
}
|
||||
|
||||
const int N = 64 * (rng_(MAX_SB_SQUARE/64) + 1);
|
||||
|
||||
memset(&d_ref, INT16_MAX, sizeof(d_ref));
|
||||
memset(&d_tst, INT16_MAX, sizeof(d_tst));
|
||||
|
||||
ref_func_(d_ref, a, b, N);
|
||||
tst_func_(d_tst, a, b, N);
|
||||
|
||||
for (int i = 0 ; i < MAX_SB_SQUARE ; ++i)
|
||||
ASSERT_EQ(d_ref[i], d_tst[i]);
|
||||
}
|
||||
}
|
||||
|
||||
#if HAVE_SSE2
|
||||
INSTANTIATE_TEST_CASE_P(
|
||||
SSE2, WedgeUtilsDeltaSquaresOptTest,
|
||||
::testing::Values(
|
||||
make_tuple(&vp10_wedge_compute_delta_squares_c,
|
||||
&vp10_wedge_compute_delta_squares_sse2)
|
||||
)
|
||||
);
|
||||
#endif // HAVE_SSE2
|
||||
|
||||
} // namespace
|
||||
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