1 files changed, 85 insertions, 0 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/Split.test.cc b/tests/nnfw_api/src/one_op_tests/Split.test.cc
new file mode 100644
index 000000000..7dec8dba5
--- /dev/null
+++ b/tests/nnfw_api/src/one_op_tests/Split.test.cc
@@ -0,0 +1,85 @@
+/*
+ * 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_Split)
+{
+  CircleGen cgen;
+  int in = cgen.addTensor({{2, 4}, circle::TensorType::TensorType_FLOAT32});
+  std::vector<int32_t> axis_data{1};
+  uint32_t axis_buf = cgen.addBuffer(axis_data);
+  int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32, axis_buf});
+
+  int out1 = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+  int out2 = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorSplit({{axis, in}, {out1, out2}}, 2);
+  cgen.setInputsAndOutputs({in}, {out1, out2});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(
+    uniformTCD<float>({{1, 2, 3, 4, 5, 6, 7, 8}}, {{1, 2, 5, 6}, {3, 4, 7, 8}}));
+  _context->setBackends({"cpu", "acl_cl", "acl_neon"});
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, OneOp_SplitNonConstAxis)
+{
+  CircleGen cgen;
+  int in = cgen.addTensor({{2, 4}, circle::TensorType::TensorType_FLOAT32});
+  int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32});
+
+  int out1 = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+  int out2 = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorSplit({{axis, in}, {out1, out2}}, 2);
+  cgen.setInputsAndOutputs({axis, in}, {out1, out2});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(TestCaseData{}
+                          .addInput<int32_t>({1})
+                          .addInput<float>({1, 2, 3, 4, 5, 6, 7, 8})
+                          .addOutput<float>({1, 2, 5, 6})
+                          .addOutput<float>({3, 4, 7, 8}));
+  _context->setBackends({"cpu"});
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, neg_OneOp_SplitNegatveSplitNum)
+{
+  CircleGen cgen;
+  int in = cgen.addTensor({{2, 4}, circle::TensorType::TensorType_FLOAT32});
+  std::vector<int32_t> axis_data{1};
+  uint32_t axis_buf = cgen.addBuffer(axis_data);
+  int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32, axis_buf});
+
+  int out1 = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+  int out2 = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorSplit({{axis, in}, {out1, out2}}, -3);
+  cgen.setInputsAndOutputs({in}, {out1, out2});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(
+    uniformTCD<float>({{1, 2, 3, 4, 5, 6, 7, 8}}, {{1, 2, 5, 6}, {3, 4, 7, 8}}));
+  _context->setBackends({"cpu", "acl_cl", "acl_neon"});
+  _context->expectFailModelLoad();
+
+  SUCCEED();
+}