1 files changed, 64 insertions, 0 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/Mean.test.cc b/tests/nnfw_api/src/one_op_tests/Mean.test.cc
new file mode 100644
index 000000000..6293d3837
--- /dev/null
+++ b/tests/nnfw_api/src/one_op_tests/Mean.test.cc
@@ -0,0 +1,64 @@
+/*
+ * Copyright (c) 2020 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 "GenModelTest.h"
+
+#include <memory>
+
+CircleBuffer genSimpleMeanModel()
+{
+  CircleGen cgen;
+  uint32_t axis_buf = cgen.addBuffer(std::vector<int32_t>{1, 2});
+  int in = cgen.addTensor({{1, 3, 3, 1}, circle::TensorType::TensorType_FLOAT32});
+  int axis = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32, axis_buf});
+  int out = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32});
+  cgen.addOperatorMean({{in, axis}, {out}}, true);
+  cgen.setInputsAndOutputs({in}, {out});
+  return cgen.finish();
+}
+
+TEST_F(GenModelTest, OneOp_Mean)
+{
+  auto model = genSimpleMeanModel();
+  _context = std::make_unique<GenModelTestContext>(std::move(model));
+  _context->addTestCase(uniformTCD<float>({{1, 2, 3, 4, 5, 6, 7, 8, 9}}, {{5}}));
+  _context->setBackends({"acl_cl", "acl_neon", "cpu"});
+
+  SUCCEED();
+}
+
+CircleBuffer genWrongMeanModel()
+{
+  CircleGen cgen;
+  uint32_t axis_buf = cgen.addBuffer(std::vector<int32_t>{1, 2});
+  int in = cgen.addTensor({{1, 3, 3, 1}, circle::TensorType::TensorType_BOOL});
+  int axis = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32, axis_buf});
+  int out = cgen.addTensor({{1}, circle::TensorType::TensorType_BOOL});
+  cgen.addOperatorMean({{in, axis}, {out}}, true);
+  cgen.setInputsAndOutputs({in}, {out});
+  return cgen.finish();
+}
+
+TEST_F(GenModelTest, neg_OneOp_Mean)
+{
+  auto model = genWrongMeanModel();
+  _context = std::make_unique<GenModelTestContext>(std::move(model));
+  _context->addTestCase(uniformTCD<float>({{1, 2, 3, 4, 5, 6, 7, 8, 9}}, {{5}}));
+  _context->setBackends({"cpu"});
+  _context->expectFailCompile();
+
+  SUCCEED();
+}