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//
// Copyright (C) 2017 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 NCNN_NET_H
#define NCNN_NET_H
#include "blob.h"
#include "layer.h"
#include "mat.h"
#include "option.h"
#include "platform.h"
#if NCNN_PLATFORM_API
#if __ANDROID_API__ >= 9
#include <android/asset_manager.h>
#endif // __ANDROID_API__ >= 9
#endif // NCNN_PLATFORM_API
namespace ncnn {
#if NCNN_VULKAN
class VkCompute;
#endif // NCNN_VULKAN
class DataReader;
class Extractor;
class NetPrivate;
class NCNN_EXPORT Net
{
public:
// empty init
Net();
// clear and destroy
virtual ~Net();
public:
// option can be changed before loading
Option opt;
#if NCNN_VULKAN
// set gpu device by index
void set_vulkan_device(int device_index);
// set gpu device by device handle, no owner transfer
void set_vulkan_device(const VulkanDevice* vkdev);
const VulkanDevice* vulkan_device() const;
#endif // NCNN_VULKAN
#if NCNN_STRING
// register custom layer or overwrite built-in layer by layer type name
// return 0 if success
int register_custom_layer(const char* type, layer_creator_func creator, layer_destroyer_func destroyer = 0, void* userdata = 0);
virtual int custom_layer_to_index(const char* type);
#endif // NCNN_STRING
// register custom layer or overwrite built-in layer by layer type
// return 0 if success
int register_custom_layer(int index, layer_creator_func creator, layer_destroyer_func destroyer = 0, void* userdata = 0);
#if NCNN_STRING
int load_param(const DataReader& dr);
#endif // NCNN_STRING
int load_param_bin(const DataReader& dr);
int load_model(const DataReader& dr);
#if NCNN_STDIO
#if NCNN_STRING
// load network structure from plain param file
// return 0 if success
int load_param(FILE* fp);
int load_param(const char* protopath);
int load_param_mem(const char* mem);
#endif // NCNN_STRING
// load network structure from binary param file
// return 0 if success
int load_param_bin(FILE* fp);
int load_param_bin(const char* protopath);
// load network weight data from model file
// return 0 if success
int load_model(FILE* fp);
int load_model(const char* modelpath);
#endif // NCNN_STDIO
// load network structure from external memory
// memory pointer must be 32-bit aligned
// return bytes consumed
int load_param(const unsigned char* mem);
// reference network weight data from external memory
// weight data is not copied but referenced
// so external memory should be retained when used
// memory pointer must be 32-bit aligned
// return bytes consumed
int load_model(const unsigned char* mem);
#if NCNN_PLATFORM_API
#if __ANDROID_API__ >= 9
#if NCNN_STRING
// convenient load network structure from android asset plain param file
int load_param(AAsset* asset);
int load_param(AAssetManager* mgr, const char* assetpath);
#endif // NCNN_STRING
// convenient load network structure from android asset binary param file
int load_param_bin(AAsset* asset);
int load_param_bin(AAssetManager* mgr, const char* assetpath);
// convenient load network weight data from android asset model file
int load_model(AAsset* asset);
int load_model(AAssetManager* mgr, const char* assetpath);
#endif // __ANDROID_API__ >= 9
#endif // NCNN_PLATFORM_API
// unload network structure and weight data
void clear();
// construct an Extractor from network
Extractor create_extractor() const;
// get input/output indexes/names
const std::vector<int>& input_indexes() const;
const std::vector<int>& output_indexes() const;
#if NCNN_STRING
const std::vector<const char*>& input_names() const;
const std::vector<const char*>& output_names() const;
#endif
const std::vector<Blob>& blobs() const;
const std::vector<Layer*>& layers() const;
std::vector<Blob>& mutable_blobs();
std::vector<Layer*>& mutable_layers();
protected:
friend class Extractor;
#if NCNN_STRING
int find_blob_index_by_name(const char* name) const;
int find_layer_index_by_name(const char* name) const;
virtual Layer* create_custom_layer(const char* type);
virtual Layer* create_overwrite_builtin_layer(const char* type);
#endif // NCNN_STRING
virtual Layer* create_custom_layer(int index);
virtual Layer* create_overwrite_builtin_layer(int typeindex);
private:
Net(const Net&);
Net& operator=(const Net&);
private:
NetPrivate* const d;
};
class ExtractorPrivate;
class NCNN_EXPORT Extractor
{
public:
virtual ~Extractor();
// copy
Extractor(const Extractor&);
// assign
Extractor& operator=(const Extractor&);
// clear blob mats and alloctors
void clear();
// enable light mode
// intermediate blob will be recycled when enabled
// enabled by default
void set_light_mode(bool enable);
// set thread count for this extractor
// this will overwrite the global setting
// default count is system depended
void set_num_threads(int num_threads);
// set blob memory allocator
void set_blob_allocator(Allocator* allocator);
// set workspace memory allocator
void set_workspace_allocator(Allocator* allocator);
#if NCNN_VULKAN
void set_vulkan_compute(bool enable);
void set_blob_vkallocator(VkAllocator* allocator);
void set_workspace_vkallocator(VkAllocator* allocator);
void set_staging_vkallocator(VkAllocator* allocator);
#endif // NCNN_VULKAN
#if NCNN_STRING
// set input by blob name
// return 0 if success
int input(const char* blob_name, const Mat& in);
// get result by blob name
// return 0 if success
// type = 0, default
// type = 1, do not convert fp16/bf16 or / and packing
int extract(const char* blob_name, Mat& feat, int type = 0);
#endif // NCNN_STRING
// set input by blob index
// return 0 if success
int input(int blob_index, const Mat& in);
// get result by blob index
// return 0 if success
// type = 0, default
// type = 1, do not convert fp16/bf16 or / and packing
int extract(int blob_index, Mat& feat, int type = 0);
#if NCNN_VULKAN
#if NCNN_STRING
// set input by blob name
// return 0 if success
int input(const char* blob_name, const VkMat& in);
// get result by blob name
// return 0 if success
int extract(const char* blob_name, VkMat& feat, VkCompute& cmd);
// set input by blob name
// return 0 if success
int input(const char* blob_name, const VkImageMat& in);
// get result by blob name
// return 0 if success
int extract(const char* blob_name, VkImageMat& feat, VkCompute& cmd);
#endif // NCNN_STRING
// set input by blob index
// return 0 if success
int input(int blob_index, const VkMat& in);
// get result by blob index
// return 0 if success
int extract(int blob_index, VkMat& feat, VkCompute& cmd);
// set input by blob index
// return 0 if success
int input(int blob_index, const VkImageMat& in);
// get result by blob index
// return 0 if success
int extract(int blob_index, VkImageMat& feat, VkCompute& cmd);
#endif // NCNN_VULKAN
protected:
friend Extractor Net::create_extractor() const;
Extractor(const Net* net, size_t blob_count);
private:
ExtractorPrivate* const d;
};
} // namespace ncnn
#endif // NCNN_NET_H
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