Update aom to v1.0.0

Update aom to commit id d14c5bb4f336ef1842046089849dee4a301fbbf0.

1 files changed, 567 insertions, 0 deletions

diff --git a/third_party/aom/test/cfl_test.cc b/third_party/aom/test/cfl_test.cc
new file mode 100644
index 000000000..e4d438d6a
--- /dev/null
+++ b/third_party/aom/test/cfl_test.cc
@@ -0,0 +1,567 @@
+/*
+ * Copyright (c) 2017, 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 "third_party/googletest/src/googletest/include/gtest/gtest.h"
+
+#include "config/av1_rtcd.h"
+
+#include "aom_ports/aom_timer.h"
+#include "test/util.h"
+#include "test/acm_random.h"
+
+using ::testing::make_tuple;
+
+using libaom_test::ACMRandom;
+
+#define NUM_ITERATIONS (100)
+#define NUM_ITERATIONS_SPEED (INT16_MAX)
+
+#define ALL_CFL_TX_SIZES(function)                                     \
+  make_tuple(TX_4X4, &function), make_tuple(TX_4X8, &function),        \
+      make_tuple(TX_4X16, &function), make_tuple(TX_8X4, &function),   \
+      make_tuple(TX_8X8, &function), make_tuple(TX_8X16, &function),   \
+      make_tuple(TX_8X32, &function), make_tuple(TX_16X4, &function),  \
+      make_tuple(TX_16X8, &function), make_tuple(TX_16X16, &function), \
+      make_tuple(TX_16X32, &function), make_tuple(TX_32X8, &function), \
+      make_tuple(TX_32X16, &function), make_tuple(TX_32X32, &function)
+
+#define ALL_CFL_TX_SIZES_SUBSAMPLE(fun420, fun422, fun444) \
+  make_tuple(TX_4X4, &fun420, &fun422, &fun444),           \
+      make_tuple(TX_4X8, &fun420, &fun422, &fun444),       \
+      make_tuple(TX_4X16, &fun420, &fun422, &fun444),      \
+      make_tuple(TX_8X4, &fun420, &fun422, &fun444),       \
+      make_tuple(TX_8X8, &fun420, &fun422, &fun444),       \
+      make_tuple(TX_8X16, &fun420, &fun422, &fun444),      \
+      make_tuple(TX_8X32, &fun420, &fun422, &fun444),      \
+      make_tuple(TX_16X4, &fun420, &fun422, &fun444),      \
+      make_tuple(TX_16X8, &fun420, &fun422, &fun444),      \
+      make_tuple(TX_16X16, &fun420, &fun422, &fun444),     \
+      make_tuple(TX_16X32, &fun420, &fun422, &fun444),     \
+      make_tuple(TX_32X8, &fun420, &fun422, &fun444),      \
+      make_tuple(TX_32X16, &fun420, &fun422, &fun444),     \
+      make_tuple(TX_32X32, &fun420, &fun422, &fun444)
+
+namespace {
+
+template <typename A>
+static void assert_eq(const A *a, const A *b, int width, int height) {
+  for (int j = 0; j < height; j++) {
+    for (int i = 0; i < width; i++) {
+      ASSERT_EQ(a[j * CFL_BUF_LINE + i], b[j * CFL_BUF_LINE + i]);
+    }
+  }
+}
+
+static void assertFaster(int ref_elapsed_time, int elapsed_time) {
+  EXPECT_GT(ref_elapsed_time, elapsed_time)
+      << "Error: CFLSubtractSpeedTest, SIMD slower than C." << std::endl
+      << "C time: " << ref_elapsed_time << " us" << std::endl
+      << "SIMD time: " << elapsed_time << " us" << std::endl;
+}
+
+static void printSpeed(int ref_elapsed_time, int elapsed_time, int width,
+                       int height) {
+  std::cout.precision(2);
+  std::cout << "[          ] " << width << "x" << height
+            << ": C time = " << ref_elapsed_time
+            << " us, SIMD time = " << elapsed_time << " us"
+            << " (~" << ref_elapsed_time / (double)elapsed_time << "x) "
+            << std::endl;
+}
+
+class CFLTest {
+ public:
+  virtual ~CFLTest() {}
+  void init(TX_SIZE tx) {
+    tx_size = tx;
+    width = tx_size_wide[tx_size];
+    height = tx_size_high[tx_size];
+    rnd(ACMRandom::DeterministicSeed());
+  }
+
+ protected:
+  TX_SIZE tx_size;
+  int width;
+  int height;
+  ACMRandom rnd;
+};
+
+template <typename I>
+class CFLTestWithData : public CFLTest {
+ public:
+  virtual ~CFLTestWithData() {}
+
+ protected:
+  I data[CFL_BUF_SQUARE];
+  I data_ref[CFL_BUF_SQUARE];
+  void randData(I (ACMRandom::*random)()) {
+    for (int j = 0; j < this->height; j++) {
+      for (int i = 0; i < this->width; i++) {
+        const I d = (this->rnd.*random)();
+        data[j * CFL_BUF_LINE + i] = d;
+        data_ref[j * CFL_BUF_LINE + i] = d;
+      }
+    }
+  }
+};
+
+template <typename I>
+class CFLTestWithAlignedData : public CFLTest {
+ public:
+  CFLTestWithAlignedData() {
+    chroma_pels_ref =
+        reinterpret_cast<I *>(aom_memalign(32, sizeof(I) * CFL_BUF_SQUARE));
+    chroma_pels =
+        reinterpret_cast<I *>(aom_memalign(32, sizeof(I) * CFL_BUF_SQUARE));
+    sub_luma_pels_ref = reinterpret_cast<int16_t *>(
+        aom_memalign(32, sizeof(int16_t) * CFL_BUF_SQUARE));
+    sub_luma_pels = reinterpret_cast<int16_t *>(
+        aom_memalign(32, sizeof(int16_t) * CFL_BUF_SQUARE));
+    memset(chroma_pels_ref, 0, sizeof(I) * CFL_BUF_SQUARE);
+    memset(chroma_pels, 0, sizeof(I) * CFL_BUF_SQUARE);
+    memset(sub_luma_pels_ref, 0, sizeof(int16_t) * CFL_BUF_SQUARE);
+    memset(sub_luma_pels, 0, sizeof(int16_t) * CFL_BUF_SQUARE);
+  }
+  ~CFLTestWithAlignedData() {
+    aom_free(chroma_pels_ref);
+    aom_free(sub_luma_pels_ref);
+    aom_free(chroma_pels);
+    aom_free(sub_luma_pels);
+  }
+
+ protected:
+  I *chroma_pels_ref;
+  I *chroma_pels;
+  int16_t *sub_luma_pels_ref;
+  int16_t *sub_luma_pels;
+  int alpha_q3;
+  I dc;
+  void randData(int bd) {
+    alpha_q3 = this->rnd(33) - 16;
+    dc = this->rnd(1 << bd);
+    for (int j = 0; j < this->height; j++) {
+      for (int i = 0; i < this->width; i++) {
+        chroma_pels[j * CFL_BUF_LINE + i] = dc;
+        chroma_pels_ref[j * CFL_BUF_LINE + i] = dc;
+        sub_luma_pels_ref[j * CFL_BUF_LINE + i] =
+            sub_luma_pels[j * CFL_BUF_LINE + i] = this->rnd(1 << (bd + 3));
+      }
+    }
+  }
+};
+
+typedef cfl_subtract_average_fn (*sub_avg_fn)(TX_SIZE tx_size);
+typedef ::testing::tuple<TX_SIZE, sub_avg_fn> sub_avg_param;
+class CFLSubAvgTest : public ::testing::TestWithParam<sub_avg_param>,
+                      public CFLTestWithData<int16_t> {
+ public:
+  virtual void SetUp() {
+    CFLTest::init(::testing::get<0>(this->GetParam()));
+    sub_avg = ::testing::get<1>(this->GetParam())(tx_size);
+    sub_avg_ref = get_subtract_average_fn_c(tx_size);
+  }
+  virtual ~CFLSubAvgTest() {}
+
+ protected:
+  cfl_subtract_average_fn sub_avg;
+  cfl_subtract_average_fn sub_avg_ref;
+};
+
+TEST_P(CFLSubAvgTest, SubAvgTest) {
+  for (int it = 0; it < NUM_ITERATIONS; it++) {
+    randData(&ACMRandom::Rand15Signed);
+    sub_avg((uint16_t *)data, data);
+    sub_avg_ref((uint16_t *)data_ref, data_ref);
+    assert_eq<int16_t>(data, data_ref, width, height);
+  }
+}
+
+TEST_P(CFLSubAvgTest, DISABLED_SubAvgSpeedTest) {
+  aom_usec_timer ref_timer;
+  aom_usec_timer timer;
+  randData(&ACMRandom::Rand15Signed);
+  aom_usec_timer_start(&ref_timer);
+  for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+    sub_avg_ref((uint16_t *)data_ref, data_ref);
+  }
+  aom_usec_timer_mark(&ref_timer);
+  int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
+  aom_usec_timer_start(&timer);
+  for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+    sub_avg((uint16_t *)data, data);
+  }
+  aom_usec_timer_mark(&timer);
+  int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
+  printSpeed(ref_elapsed_time, elapsed_time, width, height);
+  assertFaster(ref_elapsed_time, elapsed_time);
+}
+
+template <typename S, typename T, typename I>
+class CFLSubsampleTest : public ::testing::TestWithParam<S>,
+                         public CFLTestWithData<I> {
+ public:
+  virtual void SetUp() {
+    CFLTest::init(::testing::get<0>(this->GetParam()));
+    fun_420 = ::testing::get<1>(this->GetParam())(this->tx_size);
+    fun_422 = ::testing::get<2>(this->GetParam())(this->tx_size);
+    fun_444 = ::testing::get<3>(this->GetParam())(this->tx_size);
+  }
+
+ protected:
+  T fun_420;
+  T fun_422;
+  T fun_444;
+  T fun_420_ref;
+  T fun_422_ref;
+  T fun_444_ref;
+
+  void subsampleTest(T fun, T fun_ref, int sub_width, int sub_height,
+                     I (ACMRandom::*random)()) {
+    uint16_t sub_luma_pels[CFL_BUF_SQUARE];
+    uint16_t sub_luma_pels_ref[CFL_BUF_SQUARE];
+
+    for (int it = 0; it < NUM_ITERATIONS; it++) {
+      CFLTestWithData<I>::randData(random);
+      fun(this->data, CFL_BUF_LINE, sub_luma_pels);
+      fun_ref(this->data_ref, CFL_BUF_LINE, sub_luma_pels_ref);
+      assert_eq<uint16_t>(sub_luma_pels, sub_luma_pels_ref, sub_width,
+                          sub_height);
+    }
+  }
+
+  void subsampleSpeedTest(T fun, T fun_ref, I (ACMRandom::*random)()) {
+    uint16_t sub_luma_pels[CFL_BUF_SQUARE];
+    uint16_t sub_luma_pels_ref[CFL_BUF_SQUARE];
+    aom_usec_timer ref_timer;
+    aom_usec_timer timer;
+
+    CFLTestWithData<I>::randData(random);
+    aom_usec_timer_start(&ref_timer);
+    for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+      fun_ref(this->data_ref, CFL_BUF_LINE, sub_luma_pels);
+    }
+    aom_usec_timer_mark(&ref_timer);
+    int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
+    aom_usec_timer_start(&timer);
+    for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+      fun(this->data, CFL_BUF_LINE, sub_luma_pels_ref);
+    }
+    aom_usec_timer_mark(&timer);
+    int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
+    printSpeed(ref_elapsed_time, elapsed_time, this->width, this->height);
+    assertFaster(ref_elapsed_time, elapsed_time);
+  }
+};
+
+typedef cfl_subsample_lbd_fn (*get_subsample_lbd_fn)(TX_SIZE tx_size);
+typedef ::testing::tuple<TX_SIZE, get_subsample_lbd_fn, get_subsample_lbd_fn,
+                         get_subsample_lbd_fn>
+    subsample_lbd_param;
+class CFLSubsampleLBDTest
+    : public CFLSubsampleTest<subsample_lbd_param, cfl_subsample_lbd_fn,
+                              uint8_t> {
+ public:
+  virtual ~CFLSubsampleLBDTest() {}
+  virtual void SetUp() {
+    CFLSubsampleTest::SetUp();
+    fun_420_ref = cfl_get_luma_subsampling_420_lbd_c(tx_size);
+    fun_422_ref = cfl_get_luma_subsampling_422_lbd_c(tx_size);
+    fun_444_ref = cfl_get_luma_subsampling_444_lbd_c(tx_size);
+  }
+};
+
+TEST_P(CFLSubsampleLBDTest, SubsampleLBD420Test) {
+  subsampleTest(fun_420, fun_420_ref, width >> 1, height >> 1,
+                &ACMRandom::Rand8);
+}
+
+TEST_P(CFLSubsampleLBDTest, DISABLED_SubsampleLBD420SpeedTest) {
+  subsampleSpeedTest(fun_420, fun_420_ref, &ACMRandom::Rand8);
+}
+
+TEST_P(CFLSubsampleLBDTest, SubsampleLBD422Test) {
+  subsampleTest(fun_422, fun_422_ref, width >> 1, height, &ACMRandom::Rand8);
+}
+
+TEST_P(CFLSubsampleLBDTest, DISABLED_SubsampleLBD422SpeedTest) {
+  subsampleSpeedTest(fun_422, fun_422_ref, &ACMRandom::Rand8);
+}
+
+TEST_P(CFLSubsampleLBDTest, SubsampleLBD444Test) {
+  subsampleTest(fun_444, fun_444_ref, width, height, &ACMRandom::Rand8);
+}
+
+TEST_P(CFLSubsampleLBDTest, DISABLED_SubsampleLBD444SpeedTest) {
+  subsampleSpeedTest(fun_444, fun_444_ref, &ACMRandom::Rand8);
+}
+
+typedef cfl_subsample_hbd_fn (*get_subsample_hbd_fn)(TX_SIZE tx_size);
+typedef ::testing::tuple<TX_SIZE, get_subsample_hbd_fn, get_subsample_hbd_fn,
+                         get_subsample_hbd_fn>
+    subsample_hbd_param;
+class CFLSubsampleHBDTest
+    : public CFLSubsampleTest<subsample_hbd_param, cfl_subsample_hbd_fn,
+                              uint16_t> {
+ public:
+  virtual ~CFLSubsampleHBDTest() {}
+  virtual void SetUp() {
+    CFLSubsampleTest::SetUp();
+    fun_420_ref = cfl_get_luma_subsampling_420_hbd_c(tx_size);
+    fun_422_ref = cfl_get_luma_subsampling_422_hbd_c(tx_size);
+    fun_444_ref = cfl_get_luma_subsampling_444_hbd_c(tx_size);
+  }
+};
+
+TEST_P(CFLSubsampleHBDTest, SubsampleHBD420Test) {
+  subsampleTest(fun_420, fun_420_ref, width >> 1, height >> 1,
+                &ACMRandom::Rand12);
+}
+
+TEST_P(CFLSubsampleHBDTest, DISABLED_SubsampleHBD420SpeedTest) {
+  subsampleSpeedTest(fun_420, fun_420_ref, &ACMRandom::Rand12);
+}
+
+TEST_P(CFLSubsampleHBDTest, SubsampleHBD422Test) {
+  subsampleTest(fun_422, fun_422_ref, width >> 1, height, &ACMRandom::Rand12);
+}
+
+TEST_P(CFLSubsampleHBDTest, DISABLED_SubsampleHBD422SpeedTest) {
+  subsampleSpeedTest(fun_422, fun_422_ref, &ACMRandom::Rand12);
+}
+
+TEST_P(CFLSubsampleHBDTest, SubsampleHBD444Test) {
+  subsampleTest(fun_444, fun_444_ref, width, height, &ACMRandom::Rand12);
+}
+
+TEST_P(CFLSubsampleHBDTest, DISABLED_SubsampleHBD444SpeedTest) {
+  subsampleSpeedTest(fun_444, fun_444_ref, &ACMRandom::Rand12);
+}
+
+typedef cfl_predict_lbd_fn (*get_predict_fn)(TX_SIZE tx_size);
+typedef ::testing::tuple<TX_SIZE, get_predict_fn> predict_param;
+class CFLPredictTest : public ::testing::TestWithParam<predict_param>,
+                       public CFLTestWithAlignedData<uint8_t> {
+ public:
+  virtual void SetUp() {
+    CFLTest::init(::testing::get<0>(this->GetParam()));
+    predict = ::testing::get<1>(this->GetParam())(tx_size);
+    predict_ref = get_predict_lbd_fn_c(tx_size);
+  }
+  virtual ~CFLPredictTest() {}
+
+ protected:
+  cfl_predict_lbd_fn predict;
+  cfl_predict_lbd_fn predict_ref;
+};
+
+TEST_P(CFLPredictTest, PredictTest) {
+  for (int it = 0; it < NUM_ITERATIONS; it++) {
+    randData(8);
+    predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3);
+    predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3);
+    assert_eq<uint8_t>(chroma_pels, chroma_pels_ref, width, height);
+  }
+}
+TEST_P(CFLPredictTest, DISABLED_PredictSpeedTest) {
+  aom_usec_timer ref_timer;
+  aom_usec_timer timer;
+  randData(8);
+  aom_usec_timer_start(&ref_timer);
+  for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+    predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3);
+  }
+  aom_usec_timer_mark(&ref_timer);
+  int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
+
+  aom_usec_timer_start(&timer);
+  for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+    predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3);
+  }
+  aom_usec_timer_mark(&timer);
+  int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
+  printSpeed(ref_elapsed_time, elapsed_time, width, height);
+  assertFaster(ref_elapsed_time, elapsed_time);
+}
+
+typedef cfl_predict_hbd_fn (*get_predict_fn_hbd)(TX_SIZE tx_size);
+typedef ::testing::tuple<TX_SIZE, get_predict_fn_hbd> predict_param_hbd;
+class CFLPredictHBDTest : public ::testing::TestWithParam<predict_param_hbd>,
+                          public CFLTestWithAlignedData<uint16_t> {
+ public:
+  virtual void SetUp() {
+    CFLTest::init(::testing::get<0>(this->GetParam()));
+    predict = ::testing::get<1>(this->GetParam())(tx_size);
+    predict_ref = get_predict_hbd_fn_c(tx_size);
+  }
+  virtual ~CFLPredictHBDTest() {}
+
+ protected:
+  cfl_predict_hbd_fn predict;
+  cfl_predict_hbd_fn predict_ref;
+};
+
+TEST_P(CFLPredictHBDTest, PredictHBDTest) {
+  int bd = 12;
+  for (int it = 0; it < NUM_ITERATIONS; it++) {
+    randData(bd);
+    predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3, bd);
+    predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3, bd);
+    assert_eq<uint16_t>(chroma_pels, chroma_pels_ref, width, height);
+  }
+}
+TEST_P(CFLPredictHBDTest, DISABLED_PredictHBDSpeedTest) {
+  aom_usec_timer ref_timer;
+  aom_usec_timer timer;
+  const int bd = 12;
+  randData(bd);
+  aom_usec_timer_start(&ref_timer);
+  for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+    predict_ref(sub_luma_pels_ref, chroma_pels_ref, CFL_BUF_LINE, alpha_q3, bd);
+  }
+  aom_usec_timer_mark(&ref_timer);
+  int ref_elapsed_time = (int)aom_usec_timer_elapsed(&ref_timer);
+
+  aom_usec_timer_start(&timer);
+  for (int k = 0; k < NUM_ITERATIONS_SPEED; k++) {
+    predict(sub_luma_pels, chroma_pels, CFL_BUF_LINE, alpha_q3, bd);
+  }
+  aom_usec_timer_mark(&timer);
+  int elapsed_time = (int)aom_usec_timer_elapsed(&timer);
+  printSpeed(ref_elapsed_time, elapsed_time, width, height);
+  assertFaster(ref_elapsed_time, elapsed_time);
+}
+
+#if HAVE_SSE2
+const sub_avg_param sub_avg_sizes_sse2[] = { ALL_CFL_TX_SIZES(
+    get_subtract_average_fn_sse2) };
+
+INSTANTIATE_TEST_CASE_P(SSE2, CFLSubAvgTest,
+                        ::testing::ValuesIn(sub_avg_sizes_sse2));
+
+#endif
+
+#if HAVE_SSSE3
+const subsample_lbd_param subsample_lbd_sizes_ssse3[] = {
+  ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_lbd_ssse3,
+                             cfl_get_luma_subsampling_422_lbd_ssse3,
+                             cfl_get_luma_subsampling_444_lbd_ssse3)
+};
+
+const subsample_hbd_param subsample_hbd_sizes_ssse3[] = {
+  ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_hbd_ssse3,
+                             cfl_get_luma_subsampling_422_hbd_ssse3,
+                             cfl_get_luma_subsampling_444_hbd_ssse3)
+};
+
+const predict_param predict_sizes_ssse3[] = { ALL_CFL_TX_SIZES(
+    get_predict_lbd_fn_ssse3) };
+
+const predict_param_hbd predict_sizes_hbd_ssse3[] = { ALL_CFL_TX_SIZES(
+    get_predict_hbd_fn_ssse3) };
+
+INSTANTIATE_TEST_CASE_P(SSSE3, CFLSubsampleLBDTest,
+                        ::testing::ValuesIn(subsample_lbd_sizes_ssse3));
+
+INSTANTIATE_TEST_CASE_P(SSSE3, CFLSubsampleHBDTest,
+                        ::testing::ValuesIn(subsample_hbd_sizes_ssse3));
+
+INSTANTIATE_TEST_CASE_P(SSSE3, CFLPredictTest,
+                        ::testing::ValuesIn(predict_sizes_ssse3));
+
+INSTANTIATE_TEST_CASE_P(SSSE3, CFLPredictHBDTest,
+                        ::testing::ValuesIn(predict_sizes_hbd_ssse3));
+#endif
+
+#if HAVE_AVX2
+const sub_avg_param sub_avg_sizes_avx2[] = { ALL_CFL_TX_SIZES(
+    get_subtract_average_fn_avx2) };
+
+const subsample_lbd_param subsample_lbd_sizes_avx2[] = {
+  ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_lbd_avx2,
+                             cfl_get_luma_subsampling_422_lbd_avx2,
+                             cfl_get_luma_subsampling_444_lbd_avx2)
+};
+
+const subsample_hbd_param subsample_hbd_sizes_avx2[] = {
+  ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_hbd_avx2,
+                             cfl_get_luma_subsampling_422_hbd_avx2,
+                             cfl_get_luma_subsampling_444_hbd_avx2)
+};
+
+const predict_param predict_sizes_avx2[] = { ALL_CFL_TX_SIZES(
+    get_predict_lbd_fn_avx2) };
+
+const predict_param_hbd predict_sizes_hbd_avx2[] = { ALL_CFL_TX_SIZES(
+    get_predict_hbd_fn_avx2) };
+
+INSTANTIATE_TEST_CASE_P(AVX2, CFLSubAvgTest,
+                        ::testing::ValuesIn(sub_avg_sizes_avx2));
+
+INSTANTIATE_TEST_CASE_P(AVX2, CFLSubsampleLBDTest,
+                        ::testing::ValuesIn(subsample_lbd_sizes_avx2));
+
+INSTANTIATE_TEST_CASE_P(AVX2, CFLSubsampleHBDTest,
+                        ::testing::ValuesIn(subsample_hbd_sizes_avx2));
+
+INSTANTIATE_TEST_CASE_P(AVX2, CFLPredictTest,
+                        ::testing::ValuesIn(predict_sizes_avx2));
+
+INSTANTIATE_TEST_CASE_P(AVX2, CFLPredictHBDTest,
+                        ::testing::ValuesIn(predict_sizes_hbd_avx2));
+#endif
+
+#if HAVE_NEON
+
+const sub_avg_param sub_avg_sizes_neon[] = { ALL_CFL_TX_SIZES(
+    get_subtract_average_fn_neon) };
+
+const subsample_lbd_param subsample_lbd_sizes_neon[] = {
+  ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_lbd_neon,
+                             cfl_get_luma_subsampling_422_lbd_neon,
+                             cfl_get_luma_subsampling_444_lbd_neon)
+};
+
+const subsample_hbd_param subsample_hbd_sizes_neon[] = {
+  ALL_CFL_TX_SIZES_SUBSAMPLE(cfl_get_luma_subsampling_420_hbd_neon,
+                             cfl_get_luma_subsampling_422_hbd_neon,
+                             cfl_get_luma_subsampling_444_hbd_neon)
+};
+
+const predict_param predict_sizes_neon[] = { ALL_CFL_TX_SIZES(
+    get_predict_lbd_fn_neon) };
+
+const predict_param_hbd predict_sizes_hbd_neon[] = { ALL_CFL_TX_SIZES(
+    get_predict_hbd_fn_neon) };
+
+INSTANTIATE_TEST_CASE_P(NEON, CFLSubAvgTest,
+                        ::testing::ValuesIn(sub_avg_sizes_neon));
+
+INSTANTIATE_TEST_CASE_P(NEON, CFLSubsampleLBDTest,
+                        ::testing::ValuesIn(subsample_lbd_sizes_neon));
+
+INSTANTIATE_TEST_CASE_P(NEON, CFLSubsampleHBDTest,
+                        ::testing::ValuesIn(subsample_hbd_sizes_neon));
+
+INSTANTIATE_TEST_CASE_P(NEON, CFLPredictTest,
+                        ::testing::ValuesIn(predict_sizes_neon));
+
+INSTANTIATE_TEST_CASE_P(NEON, CFLPredictHBDTest,
+                        ::testing::ValuesIn(predict_sizes_hbd_neon));
+#endif
+
+#if HAVE_VSX
+const sub_avg_param sub_avg_sizes_vsx[] = { ALL_CFL_TX_SIZES(
+    get_subtract_average_fn_vsx) };
+
+INSTANTIATE_TEST_CASE_P(VSX, CFLSubAvgTest,
+                        ::testing::ValuesIn(sub_avg_sizes_vsx));
+#endif
+}  // namespace