Refactored warp_filter_test to allow reuse by external tests.

Change-Id: Id32a6a21ffda48ef16b027b55f9082614f389003
diff --git a/test/warp_filter_test.cc b/test/warp_filter_test.cc
index 73d9fcb..1d36a3f 100644
--- a/test/warp_filter_test.cc
+++ b/test/warp_filter_test.cc
@@ -10,135 +10,18 @@
  */
 
 #include "third_party/googletest/src/googletest/include/gtest/gtest.h"
-
-#include "./av1_rtcd.h"
-#include "./aom_dsp_rtcd.h"
-#include "test/acm_random.h"
-#include "test/clear_system_state.h"
-#include "test/register_state_check.h"
-#include "test/util.h"
-
-#include "av1/common/mv.h"
+#include "test/warp_filter_test_util.h"
 
 using std::tr1::tuple;
 using std::tr1::make_tuple;
 using libaom_test::ACMRandom;
-
-typedef tuple<int, int, int> WarpTestParam;
+using libaom_test::AV1WarpFilter::AV1WarpFilterTest;
 
 namespace {
 
-class AV1WarpFilterTest : public ::testing::TestWithParam<WarpTestParam> {
- public:
-  virtual ~AV1WarpFilterTest() {}
-  virtual void SetUp() { rnd_.Reset(ACMRandom::DeterministicSeed()); }
+TEST_P(AV1WarpFilterTest, CheckOutput) { RunCheckOutput(av1_warp_affine_sse2); }
 
-  virtual void TearDown() { libaom_test::ClearSystemState(); }
-
- protected:
-  int32_t random_param(int bits) {
-    // 1 in 8 chance of generating zero (arbitrarily chosen)
-    if (((rnd_.Rand8()) & 7) == 0) return 0;
-    // Otherwise, enerate uniform values in the range
-    // [-(1 << bits), 1] U [1, 1<<bits]
-    int32_t v = 1 + (rnd_.Rand16() & ((1 << bits) - 1));
-    if ((rnd_.Rand8()) & 1) return -v;
-    return v;
-  }
-  void generate_model(int32_t *mat, int32_t *alpha, int32_t *beta,
-                      int32_t *gamma, int32_t *delta) {
-    while (1) {
-      mat[0] = random_param(WARPEDMODEL_PREC_BITS + 6);
-      mat[1] = random_param(WARPEDMODEL_PREC_BITS + 6);
-      mat[2] = (random_param(WARPEDMODEL_PREC_BITS - 3)) +
-               (1 << WARPEDMODEL_PREC_BITS);
-      mat[3] = random_param(WARPEDMODEL_PREC_BITS - 3);
-      // 50/50 chance of generating ROTZOOM vs. AFFINE models
-      if (rnd_.Rand8() & 1) {
-        // AFFINE
-        mat[4] = random_param(WARPEDMODEL_PREC_BITS - 3);
-        mat[5] = (random_param(WARPEDMODEL_PREC_BITS - 3)) +
-                 (1 << WARPEDMODEL_PREC_BITS);
-      } else {
-        mat[4] = -mat[3];
-        mat[5] = mat[2];
-      }
-
-      // Calculate the derived parameters and check that they are suitable
-      // for the warp filter.
-      assert(mat[2] != 0);
-
-      *alpha = mat[2] - (1 << WARPEDMODEL_PREC_BITS);
-      *beta = mat[3];
-      *gamma = ((int64_t)mat[4] << WARPEDMODEL_PREC_BITS) / mat[2];
-      *delta = mat[5] - (((int64_t)mat[3] * mat[4] + (mat[2] / 2)) / mat[2]) -
-               (1 << WARPEDMODEL_PREC_BITS);
-
-      if ((4 * abs(*alpha) + 7 * abs(*beta) > (1 << WARPEDMODEL_PREC_BITS)) ||
-          (4 * abs(*gamma) + 7 * abs(*delta) > (1 << WARPEDMODEL_PREC_BITS)))
-        continue;
-
-      // We have a valid model, so finish
-      return;
-    }
-  }
-
-  void RunCheckOutput() {
-    const int w = 128, h = 128;
-    const int border = 16;
-    const int stride = w + 2 * border;
-    const int out_w = GET_PARAM(0), out_h = GET_PARAM(1);
-    const int num_iters = GET_PARAM(2);
-    int i, j, sub_x, sub_y;
-
-    uint8_t *input_ = new uint8_t[h * stride];
-    uint8_t *input = input_ + border;
-    uint8_t *output = new uint8_t[out_w * out_h];
-    uint8_t *output2 = new uint8_t[out_w * out_h];
-    int32_t mat[8], alpha, beta, gamma, delta;
-
-    // Generate an input block and extend its borders horizontally
-    for (i = 0; i < h; ++i)
-      for (j = 0; j < w; ++j) input[i * stride + j] = rnd_.Rand8();
-    for (i = 0; i < h; ++i) {
-      memset(input + i * stride - border, input[i * stride], border);
-      memset(input + i * stride + w, input[i * stride + (w - 1)], border);
-    }
-
-    /* Try different sizes of prediction block */
-    for (i = 0; i < num_iters; ++i) {
-      for (sub_x = 0; sub_x < 2; ++sub_x)
-        for (sub_y = 0; sub_y < 2; ++sub_y) {
-          generate_model(mat, &alpha, &beta, &gamma, &delta);
-          av1_warp_affine_c(mat, input, w, h, stride, output, 32, 32, out_w,
-                            out_h, out_w, sub_x, sub_y, 0, alpha, beta, gamma,
-                            delta);
-          av1_warp_affine_sse2(mat, input, w, h, stride, output2, 32, 32, out_w,
-                               out_h, out_w, sub_x, sub_y, 0, alpha, beta,
-                               gamma, delta);
-
-          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;
-  }
-
-  ACMRandom rnd_;
-};
-
-TEST_P(AV1WarpFilterTest, CheckOutput) { RunCheckOutput(); }
-
-const WarpTestParam params[] = {
-  make_tuple(4, 4, 50000),  make_tuple(8, 8, 50000),  make_tuple(64, 64, 1000),
-  make_tuple(4, 16, 20000), make_tuple(32, 8, 10000),
-};
-
-INSTANTIATE_TEST_CASE_P(SSE2, AV1WarpFilterTest, ::testing::ValuesIn(params));
+INSTANTIATE_TEST_CASE_P(SSE2, AV1WarpFilterTest,
+                        libaom_test::AV1WarpFilter::GetDefaultParams());
 
 }  // namespace