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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_ExpandDims)
{
CircleGen cgen;
std::vector<int32_t> axis_data{1};
uint32_t axis_buf = cgen.addBuffer(axis_data);
int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32, axis_buf});
int out = cgen.addTensor({{1, 1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorExpandDims({{in, axis}, {out}});
cgen.setInputsAndOutputs({in}, {out});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
_context->addTestCase(
TestCaseData{}.addInput<float>({0.1, 0.3, 0.5, 0.7}).addOutput<float>({0.1, 0.3, 0.5, 0.7}));
_context->setBackends({"cpu"});
SUCCEED();
}
TEST_F(GenModelTest, OneOp_ExpandDims_Int64AxisNeg)
{
CircleGen cgen;
std::vector<int64_t> axis_data{-1};
uint32_t axis_buf = cgen.addBuffer(axis_data);
int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT64, axis_buf});
int out = cgen.addTensor({{1, 4, 1, 1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorExpandDims({{in, axis}, {out}});
cgen.setInputsAndOutputs({in}, {out});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
_context->addTestCase(
TestCaseData{}.addInput<float>({0.1, 0.3, 0.5, 0.7}).addOutput<float>({0.1, 0.3, 0.5, 0.7}));
_context->setBackends({"cpu"});
SUCCEED();
}
TEST_F(GenModelTest, OneOp_neg_ExpandDims_Axis)
{
CircleGen cgen;
std::vector<int32_t> axis_data{4};
uint32_t axis_buf = cgen.addBuffer(axis_data);
int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32, axis_buf});
int out = cgen.addTensor({{1, 1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorExpandDims({{in, axis}, {out}});
cgen.setInputsAndOutputs({in}, {out});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
_context->setBackends({"cpu"});
_context->expectFailCompile();
SUCCEED();
}
TEST_F(GenModelTest, OneOp_neg_ExpandDims_AxisNegInput)
{
CircleGen cgen;
int in = cgen.addTensor({{1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
int axis = cgen.addTensor({{1}, circle::TensorType::TensorType_INT32});
int out = cgen.addTensor({{1, 1, 4, 1}, circle::TensorType::TensorType_FLOAT32});
cgen.addOperatorExpandDims({{in, axis}, {out}});
cgen.setInputsAndOutputs({in, axis}, {out});
_context = std::make_unique<GenModelTestContext>(cgen.finish());
_context->addTestCase(TestCaseData{}
.addInput<float>({0.1, 0.3, 0.5, 0.7})
.addInput<int32_t>({-5})
.addOutput<float>({0.1, 0.3, 0.5, 0.7})
.expectFailRun());
_context->setBackends({"cpu"});
SUCCEED();
}
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