Upgraded pytorch to 2.3.0 latest version

CMakeLists.txt

@@ -7,7 +7,7 @@ list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
 option(DOWNLOAD_DATASETS "Automatically download required datasets at build-time." ON)
 option(CREATE_SCRIPTMODULES "Automatically create all required scriptmodule files at build-time (requires python3)." OFF)
 
-set(PYTORCH_VERSION "2.1.1")
+set(PYTORCH_VERSION "2.3.0")
 set(PYTORCH_MIN_VERSION "1.12.0")
 
 find_package(Torch QUIET PATHS "${CMAKE_SOURCE_DIR}/libtorch")

Dockerfile

@@ -31,7 +31,7 @@ RUN curl --silent --show-error --location --output ~/miniconda.sh https://repo.a
 
 FROM conda AS conda-installs
 # Install pytorch for CPU and torchvision.
-ARG PYTORCH_VERSION=2.1.1
+ARG PYTORCH_VERSION=2.3.0
 ARG TORCHVISION_VERSION=0.16.1
 ENV NO_CUDA=1
 RUN conda install pytorch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} cpuonly -y -c pytorch && conda clean -ya

README.md

@@ -5,12 +5,12 @@
     C++ Implementation of PyTorch Tutorials for Everyone
     <br />
 <img src="https://img.shields.io/github/license/prabhuomkar/pytorch-cpp">
-<img src="https://img.shields.io/badge/libtorch-2.1.1-ee4c2c">
+<img src="https://img.shields.io/badge/libtorch-2.3.0-ee4c2c">
 <img src="https://img.shields.io/badge/cmake-3.14-064f8d">
 </p>
 
 
-| OS (Compiler)\\LibTorch |                                                  2.1.1                                                |
+| OS (Compiler)\\LibTorch |                                                  2.3.0                                                |
 | :--------------------- | :--------------------------------------------------------------------------------------------------- |
 |    macOS (clang 11, 12, 13)    | [![Status](https://github.com/prabhuomkar/pytorch-cpp/actions/workflows/build_macos.yml/badge.svg?branch=master)](https://github.com/prabhuomkar/pytorch-cpp/actions?query=workflow%3Aci-build-macos) |
 |      Linux (gcc 9, 10, 11)      | [![Status](https://github.com/prabhuomkar/pytorch-cpp/actions/workflows/build_ubuntu.yml/badge.svg?branch=master)](https://github.com/prabhuomkar/pytorch-cpp/actions?query=workflow%3Aci-build-ubuntu) |
@@ -52,7 +52,7 @@ This repository provides tutorial code in C++ for deep learning researchers to l
 
 1. [C++-17](http://www.cplusplus.com/doc/tutorial/introduction/) compatible compiler
 2. [CMake](https://cmake.org/download/) (minimum version 3.14)
-3. [LibTorch version >= 1.12.0 and <= 2.1.1](https://pytorch.org/cppdocs/installing.html)
+3. [LibTorch version >= 1.12.0 and <= 2.3.0](https://pytorch.org/cppdocs/installing.html)
 4. [Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/download.html)