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ramintoosi / cnn-rust

Train a CNN in Rust.
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Train a CNN in Rust

This repository contains a CNN training and inference code in Rust using tch-rust crate.

Blog post

You can find the description of this code in my blog post.

How to build

We need to build tch-rust. For a full description check tch-rust.

Python

create a python env and install typing-extensions and pyyaml.

Download and build libtorch

git clone -b v2.3.0 --recurse-submodule https://github.com/pytorch/pytorch.git --depth 1
cd pytorch
USE_CUDA=ON BUILD_SHARED_LIBS=ON python setup.py build

Setup envs

export LIBTORCH=/path/to/pytorch/build/lib.linux-x86_64-cpython-310/torch/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH/path/to/pytorch//build/lib.linux-x86_64-cpython-310/torch/lib

Change lib.linux-x86_64-cpython-310 accordingly.

Note: You can download libtorch pre-build files from Pytorch site.

Download and build the project

git clone https://github.com/ramintoosi/cnn-rust
cargo build --release