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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_L2Normalization)
{
CircleGen cgen;
int in = cgen.addTensor({{1, 2, 2, 3}, circle::TensorType::TensorType_FLOAT32});
int out = cgen.addTensor({{1, 2, 2, 3}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorL2Normalization({{in}, {out}});
cgen.setInputsAndOutputs({in}, {out});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
_context->addTestCase({{{0, 3, 4, 0, 5, 12, 0, 8, 15, 0, 7, 24}},
{{0, 0.6, 0.8, 0, 0.38461539149284363, 0.92307698726654053, 0,
0.47058823704719543, 0.88235294818878174, 0, 0.28, 0.96}}});
_context->setBackends({"acl_cl", "acl_neon", "cpu"});
SUCCEED();
}
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