diff options
Diffstat (limited to 'tests/nnfw_api/src/one_op_tests/AddN.test.cc')
-rw-r--r-- | tests/nnfw_api/src/one_op_tests/AddN.test.cc | 75 |
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(); +} |