1 files changed, 99 insertions, 0 deletions
diff --git a/compiler/angkor/src/TensorShape.test.cpp b/compiler/angkor/src/TensorShape.test.cpp
new file mode 100644
index 000000000..5e6766a96
--- /dev/null
+++ b/compiler/angkor/src/TensorShape.test.cpp
@@ -0,0 +1,99 @@
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "angkor/TensorShape.h"
+
+#include <gtest/gtest.h>
+
+TEST(TensorShapeTest, ctor)
+{
+  angkor::TensorShape shape;
+
+  ASSERT_EQ(shape.rank(), 0);
+}
+
+TEST(TensorShapeTest, ctor_initializer_list)
+{
+  angkor::TensorShape shape{1, 3, 5, 7};
+
+  ASSERT_EQ(shape.rank(), 4);
+
+  ASSERT_EQ(shape.dim(0), 1);
+  ASSERT_EQ(shape.dim(1), 3);
+  ASSERT_EQ(shape.dim(2), 5);
+  ASSERT_EQ(shape.dim(3), 7);
+}
+
+TEST(TensorShapeTest, resize)
+{
+  angkor::TensorShape shape;
+
+  shape.resize(4);
+
+  ASSERT_EQ(shape.rank(), 4);
+}
+
+TEST(TensorShapeTest, dim)
+{
+  angkor::TensorShape shape;
+
+  shape.resize(4);
+
+  uint32_t dims[4] = {3, 5, 2, 7};
+
+  for (uint32_t axis = 0; axis < 4; ++axis)
+  {
+    shape.dim(axis) = dims[axis];
+    ASSERT_EQ(shape.dim(axis), dims[axis]);
+  }
+}
+
+TEST(TensorShapeTest, copy)
+{
+  const angkor::TensorShape original{3, 5, 2, 7};
+  const angkor::TensorShape copied{original};
+
+  ASSERT_EQ(original.rank(), copied.rank());
+
+  for (uint32_t axis = 0; axis < 4; ++axis)
+  {
+    ASSERT_EQ(original.dim(axis), copied.dim(axis));
+  }
+}
+
+TEST(TensorShapeTest, eq_negative_on_unmatched_rank)
+{
+  const angkor::TensorShape left{1, 1, 1};
+  const angkor::TensorShape right{1, 1, 1, 1};
+
+  ASSERT_FALSE(left == right);
+}
+
+TEST(TensorShapeTest, eq_negative_on_unmatched_dim)
+{
+  const angkor::TensorShape left{2, 3};
+  const angkor::TensorShape right{2, 4};
+
+  ASSERT_FALSE(left == right);
+}
+
+TEST(TensorShapeTest, eq_positive)
+{
+  const angkor::TensorShape left{2, 3};
+  const angkor::TensorShape right{2, 3};
+
+  ASSERT_TRUE(left == right);
+}