/* * 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_AvgPool2D) { CircleGen cgen; int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32}); int out = cgen.addTensor({{1, 1, 1, 1}, circle::TensorType::TensorType_FLOAT32}); cgen.addOperatorAveragePool2D({{in}, {out}}, circle::Padding_SAME, 2, 2, 2, 2, circle::ActivationFunctionType_NONE); cgen.setInputsAndOutputs({in}, {out}); _context = std::make_unique(cgen.finish()); _context->addTestCase({{{1, 3, 2, 4}}, {{2.5}}}); _context->setBackends({"acl_cl", "acl_neon", "cpu"}); SUCCEED(); } TEST_F(GenModelTest, neg_OneOp_AvgPool2D) { CircleGen cgen; int in = cgen.addTensor({{2, 2, 1}, circle::TensorType::TensorType_FLOAT32}); int out = cgen.addTensor({{1, 1, 1}, circle::TensorType::TensorType_FLOAT32}); cgen.addOperatorAveragePool2D({{in}, {out}}, circle::Padding_SAME, 2, 2, 2, 2, circle::ActivationFunctionType_NONE); cgen.setInputsAndOutputs({in}, {out}); _context = std::make_unique(cgen.finish()); _context->setBackends({"acl_cl", "acl_neon", "cpu"}); _context->setCompileFail(); SUCCEED(); }