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/*
* 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_Cos)
{
CircleGen cgen;
int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
int out = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorCos({{in}, {out}});
cgen.setInputsAndOutputs({in}, {out});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
const float pi = 3.141592653589793;
_context->addTestCase({{{0, pi / 2, pi, 7}}, {{1, 0, -1, 0.75390225434}}});
_context->setBackends({"cpu"});
SUCCEED();
}
TEST_F(GenModelTest, neg_OneOp_Cos_TwoOperand)
{
CircleGen cgen;
int lhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
int rhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
int out1 = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
int out2 = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorCos({{lhs, rhs}, {out1, out2}});
cgen.setInputsAndOutputs({lhs, rhs}, {out1, out2});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
_context->setBackends({"cpu"});
_context->setCompileFail();
SUCCEED();
}
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