Update aom to slightly newer commit ID

1 files changed, 188 insertions, 0 deletions

diff --git a/third_party/aom/test/hiprec_convolve_test_util.cc b/third_party/aom/test/hiprec_convolve_test_util.cc
new file mode 100644
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+++ b/third_party/aom/test/hiprec_convolve_test_util.cc
@@ -0,0 +1,188 @@
+/*
+ * Copyright (c) 2016, 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 "test/hiprec_convolve_test_util.h"
+
+#include "av1/common/restoration.h"
+
+using std::tr1::tuple;
+using std::tr1::make_tuple;
+
+namespace libaom_test {
+
+// Generate a random pair of filter kernels, using the ranges
+// of possible values from the loop-restoration experiment
+static void generate_kernels(ACMRandom *rnd, InterpKernel hkernel,
+                             InterpKernel vkernel) {
+  hkernel[0] = hkernel[6] =
+      WIENER_FILT_TAP0_MINV +
+      rnd->PseudoUniform(WIENER_FILT_TAP0_MAXV + 1 - WIENER_FILT_TAP0_MINV);
+  hkernel[1] = hkernel[5] =
+      WIENER_FILT_TAP1_MINV +
+      rnd->PseudoUniform(WIENER_FILT_TAP1_MAXV + 1 - WIENER_FILT_TAP1_MINV);
+  hkernel[2] = hkernel[4] =
+      WIENER_FILT_TAP2_MINV +
+      rnd->PseudoUniform(WIENER_FILT_TAP2_MAXV + 1 - WIENER_FILT_TAP2_MINV);
+  hkernel[3] = -(hkernel[0] + hkernel[1] + hkernel[2]);
+  hkernel[7] = 0;
+
+  vkernel[0] = vkernel[6] =
+      WIENER_FILT_TAP0_MINV +
+      rnd->PseudoUniform(WIENER_FILT_TAP0_MAXV + 1 - WIENER_FILT_TAP0_MINV);
+  vkernel[1] = vkernel[5] =
+      WIENER_FILT_TAP1_MINV +
+      rnd->PseudoUniform(WIENER_FILT_TAP1_MAXV + 1 - WIENER_FILT_TAP1_MINV);
+  vkernel[2] = vkernel[4] =
+      WIENER_FILT_TAP2_MINV +
+      rnd->PseudoUniform(WIENER_FILT_TAP2_MAXV + 1 - WIENER_FILT_TAP2_MINV);
+  vkernel[3] = -(vkernel[0] + vkernel[1] + vkernel[2]);
+  vkernel[7] = 0;
+}
+
+namespace AV1HiprecConvolve {
+
+::testing::internal::ParamGenerator<HiprecConvolveParam> BuildParams(
+    hiprec_convolve_func filter) {
+  const HiprecConvolveParam params[] = {
+    make_tuple(8, 8, 50000, filter), make_tuple(64, 64, 1000, filter),
+    make_tuple(32, 8, 10000, filter),
+  };
+  return ::testing::ValuesIn(params);
+}
+
+AV1HiprecConvolveTest::~AV1HiprecConvolveTest() {}
+void AV1HiprecConvolveTest::SetUp() {
+  rnd_.Reset(ACMRandom::DeterministicSeed());
+}
+
+void AV1HiprecConvolveTest::TearDown() { libaom_test::ClearSystemState(); }
+
+void AV1HiprecConvolveTest::RunCheckOutput(hiprec_convolve_func test_impl) {
+  const int w = 128, h = 128;
+  const int out_w = GET_PARAM(0), out_h = GET_PARAM(1);
+  const int num_iters = GET_PARAM(2);
+  int i, j;
+
+  uint8_t *input_ = new uint8_t[h * w];
+  uint8_t *input = input_;
+
+  // The convolve functions always write rows with widths that are multiples of
+  // 8.
+  // So to avoid a buffer overflow, we may need to pad rows to a multiple of 8.
+  int output_n = ((out_w + 7) & ~7) * out_h;
+  uint8_t *output = new uint8_t[output_n];
+  uint8_t *output2 = new uint8_t[output_n];
+
+  // Generate random filter kernels
+  DECLARE_ALIGNED(16, InterpKernel, hkernel);
+  DECLARE_ALIGNED(16, InterpKernel, vkernel);
+
+  generate_kernels(&rnd_, hkernel, vkernel);
+
+  for (i = 0; i < h; ++i)
+    for (j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
+
+  for (i = 0; i < num_iters; ++i) {
+    // Choose random locations within the source block
+    int offset_r = 3 + rnd_.PseudoUniform(w - out_w - 7);
+    int offset_c = 3 + rnd_.PseudoUniform(h - out_h - 7);
+    aom_convolve8_add_src_hip_c(input + offset_r * w + offset_c, w, output,
+                                out_w, hkernel, 16, vkernel, 16, out_w, out_h);
+    test_impl(input + offset_r * w + offset_c, w, output2, out_w, hkernel, 16,
+              vkernel, 16, out_w, out_h);
+
+    for (j = 0; j < out_w * out_h; ++j)
+      ASSERT_EQ(output[j], output2[j]) << "Pixel mismatch at index " << j
+                                       << " = (" << (j % out_w) << ", "
+                                       << (j / out_w) << ") on iteration " << i;
+  }
+  delete[] input_;
+  delete[] output;
+  delete[] output2;
+}
+}  // namespace AV1HiprecConvolve
+
+#if CONFIG_HIGHBITDEPTH
+namespace AV1HighbdHiprecConvolve {
+
+::testing::internal::ParamGenerator<HighbdHiprecConvolveParam> BuildParams(
+    highbd_hiprec_convolve_func filter) {
+  const HighbdHiprecConvolveParam params[] = {
+    make_tuple(8, 8, 50000, 8, filter),   make_tuple(64, 64, 1000, 8, filter),
+    make_tuple(32, 8, 10000, 8, filter),  make_tuple(8, 8, 50000, 10, filter),
+    make_tuple(64, 64, 1000, 10, filter), make_tuple(32, 8, 10000, 10, filter),
+    make_tuple(8, 8, 50000, 12, filter),  make_tuple(64, 64, 1000, 12, filter),
+    make_tuple(32, 8, 10000, 12, filter),
+  };
+  return ::testing::ValuesIn(params);
+}
+
+AV1HighbdHiprecConvolveTest::~AV1HighbdHiprecConvolveTest() {}
+void AV1HighbdHiprecConvolveTest::SetUp() {
+  rnd_.Reset(ACMRandom::DeterministicSeed());
+}
+
+void AV1HighbdHiprecConvolveTest::TearDown() {
+  libaom_test::ClearSystemState();
+}
+
+void AV1HighbdHiprecConvolveTest::RunCheckOutput(
+    highbd_hiprec_convolve_func test_impl) {
+  const int w = 128, h = 128;
+  const int out_w = GET_PARAM(0), out_h = GET_PARAM(1);
+  const int num_iters = GET_PARAM(2);
+  const int bd = GET_PARAM(3);
+  int i, j;
+
+  uint16_t *input = new uint16_t[h * w];
+
+  // The convolve functions always write rows with widths that are multiples of
+  // 8.
+  // So to avoid a buffer overflow, we may need to pad rows to a multiple of 8.
+  int output_n = ((out_w + 7) & ~7) * out_h;
+  uint16_t *output = new uint16_t[output_n];
+  uint16_t *output2 = new uint16_t[output_n];
+
+  // Generate random filter kernels
+  DECLARE_ALIGNED(16, InterpKernel, hkernel);
+  DECLARE_ALIGNED(16, InterpKernel, vkernel);
+
+  generate_kernels(&rnd_, hkernel, vkernel);
+
+  for (i = 0; i < h; ++i)
+    for (j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1);
+
+  uint8_t *input_ptr = CONVERT_TO_BYTEPTR(input);
+  uint8_t *output_ptr = CONVERT_TO_BYTEPTR(output);
+  uint8_t *output2_ptr = CONVERT_TO_BYTEPTR(output2);
+
+  for (i = 0; i < num_iters; ++i) {
+    // Choose random locations within the source block
+    int offset_r = 3 + rnd_.PseudoUniform(w - out_w - 7);
+    int offset_c = 3 + rnd_.PseudoUniform(h - out_h - 7);
+    aom_highbd_convolve8_add_src_hip_c(input_ptr + offset_r * w + offset_c, w,
+                                       output_ptr, out_w, hkernel, 16, vkernel,
+                                       16, out_w, out_h, bd);
+    test_impl(input_ptr + offset_r * w + offset_c, w, output2_ptr, out_w,
+              hkernel, 16, vkernel, 16, out_w, out_h, bd);
+
+    for (j = 0; j < out_w * out_h; ++j)
+      ASSERT_EQ(output[j], output2[j]) << "Pixel mismatch at index " << j
+                                       << " = (" << (j % out_w) << ", "
+                                       << (j / out_w) << ") on iteration " << i;
+  }
+  delete[] input;
+  delete[] output;
+  delete[] output2;
+}
+}  // namespace AV1HighbdHiprecConvolve
+#endif  // CONFIG_HIGHBITDEPTH
+}  // namespace libaom_test