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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"
#include <memory>
CircleBuffer genSimpleMeanModel()
{
CircleGen cgen;
uint32_t axis_buf = cgen.addBuffer(std::vector<int32_t>{1, 2});
int in = cgen.addTensor({{1, 3, 3, 1}, circle::TensorType::TensorType_FLOAT32});
int axis = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32, axis_buf});
int out = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorMean({{in, axis}, {out}}, true);
cgen.setInputsAndOutputs({in}, {out});
return cgen.finish();
}
TEST_F(GenModelTest, OneOp_Mean)
{
auto model = genSimpleMeanModel();
_context = std::make_unique<GenModelTestContext>(std::move(model));
_context->addTestCase(uniformTCD<float>({{1, 2, 3, 4, 5, 6, 7, 8, 9}}, {{5}}));
_context->setBackends({"acl_cl", "acl_neon", "cpu"});
SUCCEED();
}
CircleBuffer genWrongMeanModel()
{
CircleGen cgen;
uint32_t axis_buf = cgen.addBuffer(std::vector<int32_t>{1, 2});
int in = cgen.addTensor({{1, 3, 3, 1}, circle::TensorType::TensorType_BOOL});
int axis = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32, axis_buf});
int out = cgen.addTensor({{1}, circle::TensorType::TensorType_BOOL});
cgen.addOperatorMean({{in, axis}, {out}}, true);
cgen.setInputsAndOutputs({in}, {out});
return cgen.finish();
}
TEST_F(GenModelTest, neg_OneOp_Mean)
{
auto model = genWrongMeanModel();
_context = std::make_unique<GenModelTestContext>(std::move(model));
_context->addTestCase(uniformTCD<float>({{1, 2, 3, 4, 5, 6, 7, 8, 9}}, {{5}}));
_context->setBackends({"cpu"});
_context->expectFailCompile();
SUCCEED();
}
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