2 * Copyright (c) 2020 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 #ifndef __ONERT_BACKEND_XNNPACK_OPS_CONVOLUTION_LAYER_H__
18 #define __ONERT_BACKEND_XNNPACK_OPS_CONVOLUTION_LAYER_H__
33 class ConvolutionLayer : public Layer
36 ConvolutionLayer(const std::shared_ptr<ExternalContext> external_context);
39 void configure(const IPortableTensor *input, const IPortableTensor *kernel,
40 const IPortableTensor *bias, ir::PaddingType padding_type,
41 const uint32_t padding_left, const uint32_t padding_right,
42 const uint32_t padding_top, const uint32_t padding_bottom,
43 const uint32_t stride_width, const uint32_t stride_height,
44 const uint32_t dilation_width_factor, const uint32_t dilation_height_factor,
45 const ir::Activation activation, IPortableTensor *output);
49 bool create() override;
50 bool setup() override;
53 const IPortableTensor *_input;
54 const IPortableTensor *_kernel;
55 const IPortableTensor *_bias;
56 IPortableTensor *_output;
58 ir::PaddingType _padding_type;
59 uint32_t _padding_left;
60 uint32_t _padding_top;
61 uint32_t _padding_right;
62 uint32_t _padding_bottom;
64 uint32_t _stride_width;
65 uint32_t _stride_height;
66 uint32_t _dilation_width_factor;
67 uint32_t _dilation_height_factor;
69 ir::Activation _activation;
73 } // namespace xnnpack
74 } // namespace backend
77 #endif // __ONERT_BACKEND_XNNPACK_OPS_CONVOLUTION_LAYER_H__