tiny-dnn based on libtorch

header only, deep learning framework with no dependencies other than libtorch

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The current code works with libtorch1.3, but the latest is libtorch1.4.

Support for libtorch1.3 to libtorch1.4 is being promoted. Please wait. The current changes that we learned from the work It cannot be compiled with visual studio2015. visual studio2017 also requires updates to the latest patches.

with_bias-> bias transposed seems to be abolished in torch :: nn :: Conv2dOptions. Instead Must be changed to torch :: nn :: ConvTranspose2d. torch :: nn :: FeatureDropout also seems to be abolished. instead of Use torch :: nn :: Dropout2d.

Other torch :: Tensor & tensor = torch :: tensor ({vec [i]}); Is said to be a tensor and terminates abnormally. torch :: Tensor & tensor = torch :: tensor (vec [i]); Must be.

(/std:c++17) std::byte compile error C2872 compile option -> /D _HAS_STD_BYTE=0

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Directory structure

This project aims to be a wrapper for libtorch to make tiny-dnn compatible with GPU. tiny-dnn really great, but unfortunately it can not be calculated on a GPU. At first glance, this header-only framework aims to be used as written in tiny-dnn.

Include path settings

Libtorch_path/include
Libtorch_path/include/torch/csrc/api/include
cpp_torch_path
cpp_torch_path/include

Library path setting

Libtorch_path/lib
cpp_torch_path

Minimum include file

#include "cpp_torch.h"

progress
tiny_dnn

tiny_dnn::progress_display disp(train_images.size());

cpp_torch

cpp_torch::progress_display disp(train_images.size());

cpp_torch::progress_display disp(train_images.size());

data set download
What you can do is still limited.

config.h

options	description	default
USE_WINDOWS		ON
USE_COLOR_CONSOLE		ON
USE_ZLIB		ON
USE_IMAGE_UTIL		ON
USE_OPENCV_UTIL	OpenCV >= 2.3	OFF	ex. C:\dev\opencv-3.4.0

example

MNIS
CIFAR10
DCGAN

Latest topic

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This app was created with C # for GUI and C ++ only for core processing. Python is not required.

This application is in cpp_torch/example/app/dcgan_Application

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Requirements

visual studio 2015,2017,2019

libtorch Please adapt the version of cuda to your environment

tiny-dnn

BSD 3-Clause License Copyright (c) 2013, Taiga Nomi

tiny_dnn was good, but unfortunately development has clearly stopped. Therefore, we created cpp_torch that can be used instead.

If you are building in C++,
Even if Python or pytorch (libtorch) is changed Should work.  

Will the Python app function correctly next month?  
Is there a guarantee that customers will not update python, etc.?