Caffe the directory structure of this C + + project

directory Structure

Main files under Caffe folder:

• dataTraining data for storing downloads
• docsHelp documentation
• exampleSome sample code
• matlabMatlab interface file
• pythonPython interface file
• modelSome well-configured model parameters
• scriptsScripts for some documents and data

The following is the core code folder:

• toolsThe saved source code is used to generate binary handlers, and Caffe actually calls these binaries directly during training.
• includeCaffe the implementation code of the header file
• srcImplementing the Caffe Source file

The following study focuses on the following two file directories ( include and src ) under Code expansion

Source Structure

• src
  • gtestGoogle test a library for testing you see a lot of green run OK runtest when you make it, this is nothing to do with Caffe's learning, but a useful library
  • caffeThis is where the key code is.
    • testTest the code for Caffe with Gtest
    • utilSome code to use when converting data. Caffe is fast, thanks in large part to memory design optimizations (BLOB data structures with proto) and convolution optimizations (partly related to Im2col) [1].
    • protoThe so-called "Protobuf" [2], full name "Google Protocol Buffer", is a data storage format to help Caffe speed up.
    • layersThe basic structure of the deep neural network is a layer of different networks, the source files under this folder and all the. cpp files that are contained in the current location "Src/caffe" are the core code in the core directory of Caffe.

Main Source Relationship

As we can now know, the core of the Caffe core is the following documents and files: (this part of the current unclear place to refer to other people's views first)

• Blob[.cpp. h] Basic data Structure BLOB class [3].
• Common[.cpp. h] Define Caffe class
• Internal_thread[.cpp. h] Use Boost::thread line libraries
• Net[.cpp. h] Network structure class net
• Solver[.cpp. h] Optimization method class Solver
• Data_transformer[.cpp. h] Basic operation class for input data Datatransformer
• Syncedmem[.cpp. h] allocating memory and freeing memory class Caffemallochost for synchronizing GPU,CPU data
• Layer_factory.cpp Layer.h Layer Class
• layersThe code below this folder inherits at least the class layer

The Include folder contains the HPP files. Hppits essence is to. cppimplementation code is mixed. hheader file, where the definition and implementation are contained in the same file, the caller of the class only needs toincludetheCPPfiles, no moreCPPadded toProjectto compile in the. The implementation code is compiled directly to the caller'sobjfile, no longer generates a separateobj,AdoptHPPwill drastically reduce the callProjectin theCPPnumber of files and number of compilations, and no need to post annoyingLibwith theDLL,This makes it ideal for writing common open-source libraries. Each. cpp file in src corresponds to the header file in the include file.

Caffe the directory structure of this C + + project