JNT_COMP: Add unit tests for low bit-depth

Unit tests for jnt_comp low bit-depth added.

Change-Id: Ib070a67c125c5fa9a034e2b368aa109f9a256a45
diff --git a/av1/common/common_data.h b/av1/common/common_data.h
index 525547c..ab3fc4e 100644
--- a/av1/common/common_data.h
+++ b/av1/common/common_data.h
@@ -1802,6 +1802,8 @@
 #endif
 
 #if CONFIG_JNT_COMP
+// Note: this is also used in unit tests. So whenever one changes the table,
+// the unit tests need to be changed accordingly.
 static const double quant_dist_category[4] = { 1.5, 2.5, 3.5, 255 };
 static const int quant_dist_lookup_table[2][4][2] = {
   { { 8, 8 }, { 11, 5 }, { 12, 4 }, { 13, 3 } },
diff --git a/test/av1_convolve_2d_test.cc b/test/av1_convolve_2d_test.cc
index 002ede4..23e2700 100644
--- a/test/av1_convolve_2d_test.cc
+++ b/test/av1_convolve_2d_test.cc
@@ -22,11 +22,22 @@
 
 namespace {
 
+#if CONFIG_JNT_COMP
+TEST_P(AV1Convolve2DTest, CheckOutput) { RunCheckOutput(GET_PARAM(2)); }
+#if HAVE_SSE4_1
+TEST_P(AV1Convolve2DTest, CheckOutput2) { RunCheckOutput2(GET_PARAM(3)); }
+#endif
+
+INSTANTIATE_TEST_CASE_P(SSE4_1, AV1Convolve2DTest,
+                        libaom_test::AV1Convolve2D::BuildParams(
+                            av1_convolve_2d_sse2, av1_jnt_convolve_2d_sse4_1));
+#else
 TEST_P(AV1Convolve2DTest, CheckOutput) { RunCheckOutput(GET_PARAM(2)); }
 
 INSTANTIATE_TEST_CASE_P(
     SSE2, AV1Convolve2DTest,
     libaom_test::AV1Convolve2D::BuildParams(av1_convolve_2d_sse2));
+#endif  // CONFIG_JNT_COMP
 
 #if CONFIG_HIGHBITDEPTH && HAVE_SSSE3
 TEST_P(AV1HighbdConvolve2DTest, CheckOutput) { RunCheckOutput(GET_PARAM(3)); }
diff --git a/test/av1_convolve_2d_test_util.cc b/test/av1_convolve_2d_test_util.cc
index 3b61f6b..a173a53 100644
--- a/test/av1_convolve_2d_test_util.cc
+++ b/test/av1_convolve_2d_test_util.cc
@@ -12,6 +12,7 @@
 #include "test/av1_convolve_2d_test_util.h"
 
 #include "av1/common/convolve.h"
+#include "av1/common/common_data.h"
 
 using std::tr1::tuple;
 using std::tr1::make_tuple;
@@ -20,6 +21,17 @@
 
 namespace AV1Convolve2D {
 
+#if CONFIG_JNT_COMP
+::testing::internal::ParamGenerator<Convolve2DParam> BuildParams(
+    convolve_2d_func filter, convolve_2d_func filter2) {
+  const Convolve2DParam params[] = {
+    make_tuple(4, 4, filter, filter2),   make_tuple(8, 8, filter, filter2),
+    make_tuple(64, 64, filter, filter2), make_tuple(4, 16, filter, filter2),
+    make_tuple(32, 8, filter, filter2),
+  };
+  return ::testing::ValuesIn(params);
+}
+#else
 ::testing::internal::ParamGenerator<Convolve2DParam> BuildParams(
     convolve_2d_func filter) {
   const Convolve2DParam params[] = {
@@ -29,6 +41,7 @@
   };
   return ::testing::ValuesIn(params);
 }
+#endif  // CONFIG_JNT_COMP
 
 AV1Convolve2DTest::~AV1Convolve2DTest() {}
 void AV1Convolve2DTest::SetUp() { rnd_.Reset(ACMRandom::DeterministicSeed()); }
@@ -97,6 +110,120 @@
   delete[] output;
   delete[] output2;
 }
+
+#if CONFIG_JNT_COMP
+void AV1Convolve2DTest::RunCheckOutput2(convolve_2d_func test_impl) {
+  const int w = 128, h = 128;
+  const int out_w = GET_PARAM(0), out_h = GET_PARAM(1);
+  int i, j, k, l, m;
+
+  uint8_t *input = new uint8_t[h * w];
+
+  int output_n = out_h * MAX_SB_SIZE;
+  CONV_BUF_TYPE *output = new CONV_BUF_TYPE[output_n];
+  CONV_BUF_TYPE *output2 = new CONV_BUF_TYPE[output_n];
+
+  for (i = 0; i < h; ++i)
+    for (j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
+
+  int hfilter, vfilter, subx, suby;
+  for (hfilter = EIGHTTAP_REGULAR; hfilter < INTERP_FILTERS_ALL; ++hfilter) {
+    for (vfilter = EIGHTTAP_REGULAR; vfilter < INTERP_FILTERS_ALL; ++vfilter) {
+      InterpFilterParams filter_params_x =
+          av1_get_interp_filter_params((InterpFilter)hfilter);
+      InterpFilterParams filter_params_y =
+          av1_get_interp_filter_params((InterpFilter)vfilter);
+      const int do_average = rnd_.Rand8() & 1;
+      ConvolveParams conv_params1 =
+          get_conv_params_no_round(0, do_average, 0, output, MAX_SB_SIZE);
+      ConvolveParams conv_params2 =
+          get_conv_params_no_round(0, do_average, 0, output2, MAX_SB_SIZE);
+
+      // Test special case where fwd and bck offsets are -1
+      conv_params1.fwd_offset = -1;
+      conv_params1.bck_offset = -1;
+      conv_params2.fwd_offset = -1;
+      conv_params2.bck_offset = -1;
+
+      for (subx = 0; subx < 16; ++subx)
+        for (suby = 0; suby < 16; ++suby) {
+          // av1_convolve_2d is designed for accumulate two predicted blocks
+          // for compound mode, so we set num_iter to two here.
+          // A larger number may introduce overflow
+          const int num_iters = 2;
+          memset(output, 0, output_n * sizeof(*output));
+          memset(output2, 0, output_n * sizeof(*output2));
+          for (i = 0; i < num_iters; ++i) {
+            // Choose random locations within the source block
+            int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
+            int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
+            av1_jnt_convolve_2d_c(input + offset_r * w + offset_c, w, output,
+                                  MAX_SB_SIZE, out_w, out_h, &filter_params_x,
+                                  &filter_params_y, subx, suby, &conv_params1);
+            test_impl(input + offset_r * w + offset_c, w, output2, MAX_SB_SIZE,
+                      out_w, out_h, &filter_params_x, &filter_params_y, subx,
+                      suby, &conv_params2);
+
+            for (j = 0; j < out_h; ++j)
+              for (k = 0; k < out_w; ++k) {
+                int idx = j * MAX_SB_SIZE + k;
+                ASSERT_EQ(output[idx], output2[idx])
+                    << "Mismatch at unit tests for av1_jnt_convolve_2d\n"
+                    << "Pixel mismatch at index " << idx << " = (" << j << ", "
+                    << k << "), sub pixel offset = (" << suby << ", " << subx
+                    << ")";
+              }
+          }
+        }
+
+      // Test different combination of fwd and bck offset weights
+      for (l = 0; l < 2; ++l) {
+        for (m = 0; m < 4; ++m) {
+          conv_params1.fwd_offset = quant_dist_lookup_table[l][m][0];
+          conv_params1.bck_offset = quant_dist_lookup_table[l][m][1];
+          conv_params2.fwd_offset = quant_dist_lookup_table[l][m][0];
+          conv_params2.bck_offset = quant_dist_lookup_table[l][m][1];
+
+          for (subx = 0; subx < 16; ++subx)
+            for (suby = 0; suby < 16; ++suby) {
+              // av1_convolve_2d is designed for accumulate two predicted blocks
+              // for compound mode, so we set num_iter to two here.
+              // A larger number may introduce overflow
+              const int num_iters = 2;
+              memset(output, 0, output_n * sizeof(*output));
+              memset(output2, 0, output_n * sizeof(*output2));
+              for (i = 0; i < num_iters; ++i) {
+                // Choose random locations within the source block
+                int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
+                int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
+                av1_jnt_convolve_2d_c(input + offset_r * w + offset_c, w,
+                                      output, MAX_SB_SIZE, out_w, out_h,
+                                      &filter_params_x, &filter_params_y, subx,
+                                      suby, &conv_params1);
+                test_impl(input + offset_r * w + offset_c, w, output2,
+                          MAX_SB_SIZE, out_w, out_h, &filter_params_x,
+                          &filter_params_y, subx, suby, &conv_params2);
+
+                for (j = 0; j < out_h; ++j)
+                  for (k = 0; k < out_w; ++k) {
+                    int idx = j * MAX_SB_SIZE + k;
+                    ASSERT_EQ(output[idx], output2[idx])
+                        << "Mismatch at unit tests for av1_jnt_convolve_2d\n"
+                        << "Pixel mismatch at index " << idx << " = (" << j
+                        << ", " << k << "), sub pixel offset = (" << suby
+                        << ", " << subx << ")";
+                  }
+              }
+            }
+        }
+      }
+    }
+  }
+  delete[] input;
+  delete[] output;
+  delete[] output2;
+}
+#endif  // CONFIG_JNT_COMP
 }  // namespace AV1Convolve2D
 
 #if CONFIG_HIGHBITDEPTH
diff --git a/test/av1_convolve_2d_test_util.h b/test/av1_convolve_2d_test_util.h
index 013126b..974169c 100644
--- a/test/av1_convolve_2d_test_util.h
+++ b/test/av1_convolve_2d_test_util.h
@@ -31,10 +31,18 @@
                                  const int subpel_x_q4, const int subpel_y_q4,
                                  ConvolveParams *conv_params);
 
+#if CONFIG_JNT_COMP
+typedef std::tr1::tuple<int, int, convolve_2d_func, convolve_2d_func>
+    Convolve2DParam;
+
+::testing::internal::ParamGenerator<Convolve2DParam> BuildParams(
+    convolve_2d_func filter, convolve_2d_func filter2);
+#else
 typedef std::tr1::tuple<int, int, convolve_2d_func> Convolve2DParam;
 
 ::testing::internal::ParamGenerator<Convolve2DParam> BuildParams(
     convolve_2d_func filter);
+#endif  // CONFIG_JNT_COMP
 
 class AV1Convolve2DTest : public ::testing::TestWithParam<Convolve2DParam> {
  public:
@@ -45,6 +53,9 @@
 
  protected:
   void RunCheckOutput(convolve_2d_func test_impl);
+#if CONFIG_JNT_COMP
+  void RunCheckOutput2(convolve_2d_func test_impl);
+#endif
 
   libaom_test::ACMRandom rnd_;
 };
diff --git a/test/av1_convolve_scale_test.cc b/test/av1_convolve_scale_test.cc
index 9d8be88..0cc5206 100644
--- a/test/av1_convolve_scale_test.cc
+++ b/test/av1_convolve_scale_test.cc
@@ -20,6 +20,10 @@
 #include "test/register_state_check.h"
 #include "test/util.h"
 
+#if CONFIG_JNT_COMP
+#include "av1/common/common_data.h"
+#endif
+
 namespace {
 const int kTestIters = 10;
 const int kPerfIters = 1000;
@@ -257,13 +261,43 @@
     image_ = new TestImage<SrcPixel>(width_, height_, bd_);
   }
 
+#if CONFIG_JNT_COMP
+  void SetConvParamOffset(int i, int j) {
+    if (i == -1 && j == -1) {
+      convolve_params_.fwd_offset = -1;
+      convolve_params_.bck_offset = -1;
+    } else {
+      convolve_params_.fwd_offset = quant_dist_lookup_table[i][j][0];
+      convolve_params_.bck_offset = quant_dist_lookup_table[i][j][1];
+    }
+  }
+#endif  // CONFIG_JNT_COMP
+
   void Run() {
     ACMRandom rnd(ACMRandom::DeterministicSeed());
     for (int i = 0; i < kTestIters; ++i) {
+#if CONFIG_JNT_COMP
+      SetConvParamOffset(-1, -1);
       Prep(&rnd);
       RunOne(true);
       RunOne(false);
       image_->Check();
+
+      for (int j = 0; j < 2; ++j) {
+        for (int k = 0; k < 4; ++k) {
+          SetConvParamOffset(j, k);
+          Prep(&rnd);
+          RunOne(true);
+          RunOne(false);
+          image_->Check();
+        }
+      }
+#else
+      Prep(&rnd);
+      RunOne(true);
+      RunOne(false);
+      image_->Check();
+#endif  // CONFIG_JNT_COMP
     }
   }