/*
 * 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();
}