diff options
Diffstat (limited to 'tests/nnfw_api/src/one_op_tests/Rank.test.cc')
-rw-r--r-- | tests/nnfw_api/src/one_op_tests/Rank.test.cc | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/Rank.test.cc b/tests/nnfw_api/src/one_op_tests/Rank.test.cc new file mode 100644 index 000000000..60ec1931a --- /dev/null +++ b/tests/nnfw_api/src/one_op_tests/Rank.test.cc @@ -0,0 +1,68 @@ +/* + * 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" + +// WORKAROUND Handle int32_t type input/output +TEST_F(GenModelTest, OneOp_Rank) +{ + CircleGen cgen; + int in = cgen.addTensor({{1, 3, 3, 2}, circle::TensorType::TensorType_FLOAT32}); + int out = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32}); + + cgen.addOperatorRank({{in}, {out}}); + cgen.setInputsAndOutputs({in}, {out}); + _context = std::make_unique<GenModelTestContext>(cgen.finish()); + _context->addTestCase( + TestCaseData{} + .addInput<float>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18}) + .addOutput<int32_t>({4})); + _context->setBackends({"cpu"}); + + SUCCEED(); +} + +TEST_F(GenModelTest, OneOp_Rank_Int32) +{ + CircleGen cgen; + int in = cgen.addTensor({{1, 3, 3, 2}, circle::TensorType::TensorType_INT32}); + int out = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32}); + + // TODO handle many type in addTestCase + cgen.addOperatorRank({{in}, {out}}); + cgen.setInputsAndOutputs({in}, {out}); + _context = std::make_unique<GenModelTestContext>(cgen.finish()); + _context->addTestCase( + uniformTCD<int32_t>({{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18}}, {{4}})); + _context->setBackends({"cpu"}); + + SUCCEED(); +} + +TEST_F(GenModelTest, neg_OneOp_Rank_OutType) +{ + CircleGen cgen; + int in = cgen.addTensor({{1, 3, 3, 2}, circle::TensorType::TensorType_INT32}); + int out = cgen.addTensor({{1}, circle::TensorType::TensorType_UINT8}); + + // TODO handle many type in addTestCase + cgen.addOperatorRank({{in}, {out}}); + cgen.setInputsAndOutputs({in}, {out}); + _context = std::make_unique<GenModelTestContext>(cgen.finish()); + _context->expectFailModelLoad(); + + SUCCEED(); +} |