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Convolution1D_vulkan.h
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Convolution1D_vulkan.h
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// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 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_CONVOLUTION1D_VULKAN_H
#define LAYER_CONVOLUTION1D_VULKAN_H
#include "layer.h"
//#include "convolution1d.h"
using namespace ncnn;
class Convolution1D_vulkan : virtual public ncnn::Layer
{
public:
Convolution1D_vulkan();
virtual int load_param(const ParamDict& pd);
virtual int load_model(const ModelBin& mb);
virtual int create_pipeline(const Option& opt);
virtual int upload_model(VkTransfer& cmd, const Option& opt);
virtual int destroy_pipeline(const Option& opt);
virtual int forward(const VkMat& bottom_blob, VkMat& top_blob, VkCompute& cmd, const Option& opt) const;
virtual int forward(const std::vector<VkMat>& bottom_blobs, std::vector<VkMat>& top_blobs, VkCompute& cmd, const Option& opt) const;
protected:
void make_padding(const VkMat& bottom_blob, VkMat& bottom_blob_bordered, const Option& opt) const;
void make_padding(const VkMat& bottom_blob, VkMat& bottom_blob_bordered, int kernel_w, const Option& opt) const;
public:
ncnn::Layer* padding;
mutable Mat weight_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_convolution1d;
Pipeline* pipeline_convolution1d_pack4;
Pipeline* pipeline_convolution1d_pack1to4;
Pipeline* pipeline_convolution1d_1x1s1d1;
// param
int num_output;
int kernel_w;
int dilation_w;
int stride_w;
int pad_left; // -233=SAME_UPPER -234=SAME_LOWER
int pad_right;
float pad_value;
int bias_term;
int weight_data_size;
// 0=none 1=relu 2=leakyrelu 3=clip 4=sigmoid
int activation_type;
Mat activation_params;
int dynamic_weight;
// model
Mat weight_data;
Mat bias_data;
// convolution as fc
ncnn::Layer* reshape_1x1xw;
ncnn::Layer* reshape_w;
};
#endif // LAYER_CONVOLUTION1D_VULKAN_H