File size: 2,544 Bytes
be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 LAYER_CONVOLUTION_VULKAN_H
#define LAYER_CONVOLUTION_VULKAN_H
#include "convolution.h"
namespace ncnn {
class Convolution_vulkan : virtual public Convolution
{
public:
Convolution_vulkan();
virtual int create_pipeline(const Option& opt);
virtual int destroy_pipeline(const Option& opt);
virtual int upload_model(VkTransfer& cmd, const Option& opt);
using Convolution::forward;
virtual int forward(const VkMat& bottom_blob, VkMat& top_blob, VkCompute& cmd, const Option& opt) const;
virtual int forward(const VkImageMat& bottom_blob, VkImageMat& top_blob, VkCompute& cmd, const Option& opt) const;
public:
ncnn::Layer* padding;
Mat weight_data_packed;
Mat weight_winograd23_data_packed;
Mat weight_winograd43_data_packed;
Mat bias_data_packed;
VkMat weight_data_gpu;
VkMat bias_data_gpu;
VkImageMat weight_data_gpu_image;
VkImageMat bias_data_gpu_image;
Pipeline* pipeline_convolution;
Pipeline* pipeline_convolution_1x1s1d1;
Pipeline* pipeline_convolution_gemm;
// winograd23 and winograd43
VkMat weight_data_gpu_tm_winograd23;
VkImageMat weight_data_gpu_tm_winograd23_image;
Pipeline* pipeline_convolution_3x3s1d1_winograd23_transform_input;
Pipeline* pipeline_convolution_3x3s1d1_winograd23_gemm;
Pipeline* pipeline_convolution_3x3s1d1_winograd23_transform_output;
VkMat weight_data_gpu_tm_winograd43;
VkImageMat weight_data_gpu_tm_winograd43_image;
Pipeline* pipeline_convolution_3x3s1d1_winograd43_transform_input;
Pipeline* pipeline_convolution_3x3s1d1_winograd43_gemm;
Pipeline* pipeline_convolution_3x3s1d1_winograd43_transform_output;
// convolution as fc
ncnn::Layer* reshape_1x1xw;
ncnn::Layer* reshape_w;
};
} // namespace ncnn
#endif // LAYER_CONVOLUTION_VULKAN_H
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