1 files changed, 0 insertions, 103 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/Add.cc b/tests/nnfw_api/src/one_op_tests/Add.cc
deleted file mode 100644
index 281d5ded5..000000000
--- a/tests/nnfw_api/src/one_op_tests/Add.cc
+++ /dev/null
@@ -1,103 +0,0 @@
-/*
- * 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"
-
-#include <memory>
-
-TEST_F(GenModelTest, OneOp_Add_VarToConst)
-{
-  CircleGen cgen;
-  std::vector<float> rhs_data{5, 4, 7, 4};
-  uint32_t rhs_buf = cgen.addBuffer(rhs_data);
-  int lhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
-  int rhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32, rhs_buf});
-  int out = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorAdd({{lhs, rhs}, {out}}, circle::ActivationFunctionType_NONE);
-  cgen.setInputsAndOutputs({lhs}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->addTestCase({{{1, 3, 2, 4}}, {{6, 7, 9, 8}}});
-  _context->addTestCase({{{0, 1, 2, 3}}, {{5, 5, 9, 7}}});
-  _context->setBackends({"acl_cl", "acl_neon", "cpu"});
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, OneOp_Add_VarToVar)
-{
-  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 out = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorAdd({{lhs, rhs}, {out}}, circle::ActivationFunctionType_NONE);
-  cgen.setInputsAndOutputs({lhs, rhs}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->addTestCase({{{1, 3, 2, 4}, {5, 4, 7, 4}}, {{6, 7, 9, 8}}});
-  _context->setBackends({"acl_cl", "acl_neon", "cpu"});
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, neg_OneOp_Add_InvalidShape)
-{
-  CircleGen cgen;
-  int lhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
-  int rhs = cgen.addTensor({{1, 2, 3, 1}, circle::TensorType::TensorType_FLOAT32});
-  int out = cgen.addTensor({{1, 2, 3, 1}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorAdd({{lhs, rhs}, {out}}, circle::ActivationFunctionType_NONE);
-  cgen.setInputsAndOutputs({lhs, rhs}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->setBackends({"acl_cl", "acl_neon", "cpu"});
-  _context->setCompileFail();
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, neg_OneOp_Add_InvalidShapeConst)
-{
-  CircleGen cgen;
-  std::vector<float> rhs_data{5, 4, 0, 7, 4, 0};
-  uint32_t rhs_buf = cgen.addBuffer(rhs_data);
-  int lhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
-  int rhs = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32, rhs_buf});
-  int out = cgen.addTensor({{1, 2, 3, 1}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorAdd({{lhs, rhs}, {out}}, circle::ActivationFunctionType_NONE);
-  cgen.setInputsAndOutputs({lhs, rhs}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->setBackends({"acl_cl", "acl_neon", "cpu"});
-  _context->setCompileFail();
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, neg_OneOp_Add_OneOperand)
-{
-  CircleGen cgen;
-  int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
-  int out = cgen.addTensor({{1, 2, 3, 1}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorAdd({{in}, {out}}, circle::ActivationFunctionType_NONE);
-  cgen.setInputsAndOutputs({in}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->setBackends({"acl_cl", "acl_neon", "cpu"});
-  _context->setCompileFail();
-
-  SUCCEED();
-}