1 files changed, 76 insertions, 0 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/If.cc b/tests/nnfw_api/src/one_op_tests/If.cc
new file mode 100644
index 000000000..2eb1d3420
--- /dev/null
+++ b/tests/nnfw_api/src/one_op_tests/If.cc
@@ -0,0 +1,76 @@
+/*
+ * 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>
+
+TEST_F(GenModelTest, OneOp_If)
+{
+  // The model looks just like the below pseudocode
+  //
+  // function model(x)
+  // {
+  //   if (x < 0.0)
+  //     return -100.0;
+  //   else
+  //     return 100.0;
+  // }
+
+  CircleGen cgen;
+
+  // constant buffers
+  std::vector<float> comp_data{0.0};
+  uint32_t comp_buf = cgen.addBuffer(comp_data);
+  std::vector<float> then_data{-100};
+  uint32_t then_buf = cgen.addBuffer(then_data);
+  std::vector<float> else_data{100};
+  uint32_t else_buf = cgen.addBuffer(else_data);
+
+  // primary subgraph
+  {
+    int x = cgen.addTensor({{1}, circle::TensorType_FLOAT32});
+    int comp = cgen.addTensor({{1}, circle::TensorType_FLOAT32, comp_buf});
+    int cond = cgen.addTensor({{1}, circle::TensorType_BOOL});
+    cgen.addOperatorLess({{x, comp}, {cond}});
+
+    int ret = cgen.addTensor({{1}, circle::TensorType_FLOAT32});
+    cgen.addOperatorIf({{cond}, {ret}}, 1, 2);
+
+    cgen.setInputsAndOutputs({x}, {ret});
+  }
+
+  // then subgraph
+  {
+    cgen.nextSubgraph();
+    int ret = cgen.addTensor({{1}, circle::TensorType_FLOAT32, then_buf});
+    cgen.setInputsAndOutputs({}, {ret});
+  }
+
+  // else subgraph
+  {
+    cgen.nextSubgraph();
+    int ret = cgen.addTensor({{1}, circle::TensorType_FLOAT32, else_buf});
+    cgen.setInputsAndOutputs({}, {ret});
+  }
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase({{{-1.0}}, {{-100.0}}});
+  _context->addTestCase({{{1.0}}, {{100.0}}});
+  _context->setBackends({"cpu"});
+
+  SUCCEED();
+}