1 files changed, 171 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/resize_bilinear_op_test.cc b/tensorflow/core/kernels/resize_bilinear_op_test.cc
new file mode 100644
index 0000000000..0ebe2e5f8c
--- /dev/null
+++ b/tensorflow/core/kernels/resize_bilinear_op_test.cc
@@ -0,0 +1,171 @@
+#include "tensorflow/core/framework/allocator.h"
+#include "tensorflow/core/framework/fake_input.h"
+#include "tensorflow/core/framework/graph.pb.h"
+#include "tensorflow/core/framework/node_def_builder.h"
+#include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/framework/tensor_testutil.h"
+#include "tensorflow/core/framework/types.h"
+#include "tensorflow/core/framework/types.pb.h"
+#include "tensorflow/core/kernels/ops_util.h"
+#include "tensorflow/core/kernels/ops_testutil.h"
+#include "tensorflow/core/public/tensor.h"
+#include <gtest/gtest.h>
+#include "tensorflow/core/lib/core/status_test_util.h"
+
+namespace tensorflow {
+
+class ResizeBilinearOpTest : public OpsTestBase {
+ protected:
+  ResizeBilinearOpTest() {
+    RequireDefaultOps();
+    EXPECT_OK(NodeDefBuilder("resize_bilinear_op", "ResizeBilinear")
+                  .Input(FakeInput(DT_FLOAT))
+                  .Input(FakeInput(DT_INT32))
+                  .Finalize(node_def()));
+    EXPECT_OK(InitOp());
+  }
+};
+
+TEST_F(ResizeBilinearOpTest, TestBilinear2x2To1x1) {
+  // Input:
+  //  1, 2
+  //  3, 4
+  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({2}), {1, 1});
+  ASSERT_OK(RunOpKernel());
+
+  // When scaling down, we have to arbitrarily pick a pixel from the
+  // original input.  In this case, we choose the top/left most pixel.
+  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 1, 1, 1}));
+  test::FillValues<float>(&expected, {1.0});
+  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
+}
+
+TEST_F(ResizeBilinearOpTest, TestBilinear2x2To3x3) {
+  // Input:
+  //  1, 2
+  //  3, 4
+  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({2}), {3, 3});
+  ASSERT_OK(RunOpKernel());
+
+  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 3, 3, 1}));
+
+  // The corners should match the original corners, and we bilinear
+  // interpolate the values in between.
+
+  // clang-format off
+  test::FillValues<float>(&expected,
+    {1,     5.0/3,   2,
+     7.0/3, 3,       10.0/3,
+     3,     11.0/3,  4});
+
+  // clang-format on
+  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
+}
+
+TEST_F(ResizeBilinearOpTest, TestBilinear3x3To4x4) {
+  // Input:
+  //  1, 2, 3,
+  //  4, 5, 6,
+  //  7, 8, 9
+  AddInputFromArray<float>(TensorShape({1, 3, 3, 1}),
+                           {1, 2, 3, 4, 5, 6, 7, 8, 9});
+  AddInputFromArray<int32>(TensorShape({2}), {4, 4});
+  ASSERT_OK(RunOpKernel());
+
+  // The corners should match the original corners, and we bilinear
+  // interpolate the values in between.
+  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 4, 4, 1}));
+  // clang-format off
+  test::FillValues<float>(&expected,
+    {1, 1.75, 2.5, 3,
+     3.25, 4, 4.75, 5.25,
+     5.5, 6.25, 7, 7.5,
+     7,  7.75, 8.5, 9});
+
+  // clang-format on
+  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
+}
+
+TEST_F(ResizeBilinearOpTest, TestBilinear2x2To3x3Batch2) {
+  // Input:
+  //  1, 2
+  //  3, 4
+  //
+  // repeated twice
+  AddInputFromArray<float>(TensorShape({2, 2, 2, 1}), {1, 2, 3, 4, 1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({2}), {3, 3});
+  ASSERT_OK(RunOpKernel());
+
+  Tensor expected(allocator(), DT_FLOAT, TensorShape({2, 3, 3, 1}));
+  // clang-format off
+  test::FillValues<float>(&expected,
+    {1, 5.0/3, 2, 7.0/3, 3, 10.0/3, 3, 11.0/3, 4,
+     1, 5.0/3, 2, 7.0/3, 3, 10.0/3, 3, 11.0/3, 4
+    });
+  // clang-format on
+  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
+}
+
+TEST_F(ResizeBilinearOpTest, TestBilinear2x2x2To3x3x2) {
+  AddInputFromArray<float>(TensorShape({1, 2, 2, 2}),
+                           {1, -1, 2, -2, 3, -3, 4, -4});
+  AddInputFromArray<int32>(TensorShape({2}), {3, 3});
+  ASSERT_OK(RunOpKernel());
+
+  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 3, 3, 2}));
+  // clang-format off
+  test::FillValues<float>(&expected,
+    {
+      1,      -1,
+      5.0/3,  -5.0/3,
+      2,      -2,
+      7.0/3,  -7.0/3,
+      3,      -3,
+      10.0/3, -10.0/3,
+      3,      -3,
+      11.0/3, -11.0/3,
+      4,      -4
+    });
+  // clang-format on
+  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
+}
+
+TEST_F(ResizeBilinearOpTest, TestBilinear2x2To4x4) {
+  // Input:
+  //  1, 2
+  //  3, 4
+  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({2}), {4, 4});
+  ASSERT_OK(RunOpKernel());
+
+  Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 4, 4, 1}));
+  // clang-format off
+  test::FillValues<float>(&expected,
+    {1,  1.5, 2, 2,
+     2,  2.5, 3, 3,
+     3,  3.5, 4, 4,
+     3,  3.5, 4, 4});
+  // clang-format on
+  test::ExpectTensorEqual<float>(expected, *GetOutput(0));
+}
+
+TEST_F(ResizeBilinearOpTest, TestInvalidInputShape) {
+  AddInputFromArray<float>(TensorShape({2, 2, 1}), {1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({2}), {4, 4});
+  ASSERT_FALSE(RunOpKernel().ok());
+}
+
+TEST_F(ResizeBilinearOpTest, TestInvalidSizeDim) {
+  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({2, 1}), {4, 4});
+  ASSERT_FALSE(RunOpKernel().ok());
+}
+TEST_F(ResizeBilinearOpTest, TestInvalidSizeElements) {
+  AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
+  AddInputFromArray<int32>(TensorShape({3}), {4, 4, 1});
+  ASSERT_FALSE(RunOpKernel().ok());
+}
+
+}  // namespace tensorflow