| /** |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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. |
| */ |
| |
| #ifndef SRC_MODEL_LAYER_OPENCL_POOLING_H_ |
| #define SRC_MODEL_LAYER_OPENCL_POOLING_H_ |
| |
| #include "pooling.h" |
| #include "singa/core/common.h" |
| #include "singa/model/layer.h" |
| #include "singa/utils/opencl_utils.h" |
| #include "singa/proto/core.pb.h" |
| |
| #ifdef USE_OPENCL |
| |
| namespace singa { |
| |
| class OpenclPooling : public Pooling { |
| public: |
| |
| /// \copydoc Layer::layer_type() |
| const std::string layer_type() const override { return "OpenclPooling"; } |
| |
| const Tensor Forward(int flag, const Tensor &input) override; |
| |
| const std::pair<Tensor, std::vector<Tensor>> |
| Backward(int flag, const Tensor &grad) override; |
| |
| /// \copydoc Layer::Setup(const LayerConf&); |
| void Setup(const Shape &in_sample, const LayerConf &conf) override; |
| |
| private: |
| void Pooling_Forward_Max(const int num, Block* src, Block* mask, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int stride_h, const int stride_w, |
| const int pad_h, const int pad_w, |
| Block* dst, const int channels, |
| Context* ctx); |
| |
| void Pooling_Forward_Ave(const int num, Block* src, Block* dst, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int stride_h, const int stride_w, |
| const int pad_h, const int pad_w, |
| const int channels, Context* ctx); |
| |
| void Pooling_Forward_Sto_Train(Block* src, Block* rand, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int stride_h, const int stride_w, |
| const int channels, |
| Block* dst, Context* ctx); |
| |
| void Pooling_Forward_Sto_Test(Block* src, Block* dst, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int stride_h, const int stride_w, |
| const int channels, Context* ctx); |
| |
| void Pooling_Backward_Max(Block* top, Block* mask, |
| const int num, const int channels, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int pad_h, const int pad_w, |
| const int stride_h, const int stride_w, |
| Block* bottom, Context* ctx); |
| |
| void Pooling_Backward_Ave(Block* bottom, const int num, const int channels, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int pad_h, const int pad_w, |
| const int stride_h, const int stride_w, |
| Block* top, Context* ctx); |
| |
| void Pooling_Backward_Sto(Block* src, Block* rand, Block* dst, |
| const int height, const int width, |
| const int pooled_h, const int pooled_w, |
| const int kernel_h, const int kernel_w, |
| const int stride_h, const int stride_w, |
| const int channels, Context* ctx); |
| |
| }; |
| |
| } // namespace singa |
| |
| #endif // USE_OPENCL |
| |
| #endif // SRC_MODEL_LAYER_OPENCL_POOLING_H_ |