2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #include "PoolLayer.h"
28 PoolLayer::PoolLayer() : cpu::ops::PoolLayer()
33 void PoolLayer::configure(const IPortableTensor *input, const uint32_t paddingLeft,
34 const uint32_t paddingRight, const uint32_t paddingTop,
35 const uint32_t paddingBottom, const uint32_t strideWidth,
36 const uint32_t strideHeight, const uint32_t kernelWidth,
37 const uint32_t kernelHeight, const ir::Activation activation,
38 IPortableTensor *output, const PoolType op_type)
43 cpu::ops::PoolLayer::configure(input, paddingLeft, paddingRight, paddingTop, paddingBottom,
44 strideWidth, strideHeight, kernelWidth, kernelHeight,
45 activation, output, cpu::ops::PoolType::kMax);
48 throw std::runtime_error("PoolLayer: Unsupported pool type");
52 void PoolLayer::forward(bool training)
56 // TODO Implement training pool layer
60 cpu::ops::PoolLayer::run();
64 void PoolLayer::backward()
66 // TODO Implement detail
71 } // namespace backend