2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #include "GenModelTest.h"
19 // WORKAROUND Handle int32_t type input/output
20 TEST_F(GenModelTest, OneOp_Rank)
23 int in = cgen.addTensor({{1, 3, 3, 2}, circle::TensorType::TensorType_FLOAT32});
24 int out = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32});
26 cgen.addOperatorRank({{in}, {out}});
27 cgen.setInputsAndOutputs({in}, {out});
28 _context = std::make_unique<GenModelTestContext>(cgen.finish());
29 _context->addTestCase(
31 .addInput<float>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18})
32 .addOutput<int32_t>({4}));
33 _context->setBackends({"cpu"});
38 TEST_F(GenModelTest, OneOp_Rank_Int32)
41 int in = cgen.addTensor({{1, 3, 3, 2}, circle::TensorType::TensorType_INT32});
42 int out = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32});
44 // TODO handle many type in addTestCase
45 cgen.addOperatorRank({{in}, {out}});
46 cgen.setInputsAndOutputs({in}, {out});
47 _context = std::make_unique<GenModelTestContext>(cgen.finish());
48 _context->addTestCase(uniformTCD<int32_t>(
49 {{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18}}, {{4}}));
50 _context->setBackends({"cpu"});
55 TEST_F(GenModelTest, neg_OneOp_Rank_OutType)
58 int in = cgen.addTensor({{1, 3, 3, 2}, circle::TensorType::TensorType_INT32});
59 int out = cgen.addTensor({{1}, circle::TensorType::TensorType_UINT8});
61 // TODO handle many type in addTestCase
62 cgen.addOperatorRank({{in}, {out}});
63 cgen.setInputsAndOutputs({in}, {out});
64 _context = std::make_unique<GenModelTestContext>(cgen.finish());
65 _context->expectFailModelLoad();