1 files changed, 75 insertions, 0 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/AddN.test.cc b/tests/nnfw_api/src/one_op_tests/AddN.test.cc
new file mode 100644
index 000000000..73fa82168
--- /dev/null
+++ b/tests/nnfw_api/src/one_op_tests/AddN.test.cc
@@ -0,0 +1,75 @@
+/*
+ * 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"
+
+TEST_F(GenModelTest, OneOp_AddN_1D)
+{
+  CircleGen cgen;
+
+  int in1 = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+  int in2 = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+  int in3 = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+  int out = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorAddN({{in1, in2, in3}, {out}});
+  cgen.setInputsAndOutputs({in1, in2, in3}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->setBackends({"cpu"});
+  _context->addTestCase(uniformTCD<float>({{1.2, 2.0, -3.0, 4.5, 10.0, 5.1, -7.0, 12.0},
+                                           {3.3, 4.1, 3.0, 4.4, 5.0, 4.3, -1.2, 4.0},
+                                           {-5.2, 3.1, 2.2, -3.7, 5.2, 2.0, -4.3, 5.0}},
+                                          {{-0.7, 9.2, 2.2, 5.2, 20.2, 11.4, -12.5, 21.0}}));
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, neg_OneOp_AddN_InvalidType)
+{
+  CircleGen cgen;
+
+  int in1 = cgen.addTensor({{8}, circle::TensorType::TensorType_UINT8});
+  int in2 = cgen.addTensor({{8}, circle::TensorType::TensorType_UINT8});
+  int in3 = cgen.addTensor({{8}, circle::TensorType::TensorType_UINT8});
+  int out = cgen.addTensor({{8}, circle::TensorType::TensorType_UINT8});
+
+  cgen.addOperatorAddN({{in1, in2, in3}, {out}});
+  cgen.setInputsAndOutputs({in1, in2, in3}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->expectFailModelLoad();
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, neg_OneOp_AddN_TypeDiff)
+{
+  CircleGen cgen;
+
+  int in1 = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+  int in2 = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+  int in3 = cgen.addTensor({{8}, circle::TensorType::TensorType_FLOAT32});
+  int out = cgen.addTensor({{8}, circle::TensorType::TensorType_INT32});
+
+  cgen.addOperatorAddN({{in1, in2, in3}, {out}});
+  cgen.setInputsAndOutputs({in1, in2, in3}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->expectFailModelLoad();
+
+  SUCCEED();
+}