Vcpkg VS tensorflow

5.4.5 can be compromised

https://github.com/microsoft/vcpkg/issues/37197

vcpkg may expire assets after 1.5 years, so achieve long-term reproducibility you will need to cache your dependencies.... Somewhere. Not sure what the expected solution is.

https://github.com/microsoft/vcpkg/pull/30546#issuecomment-1...

There were various approaches recommended depending on our language and ecosystem. My classmates who developed using Node.js were recommended npm, and PyPI or poetry for Python. Since my program is written in C++, I was recommended to look into one of vcpkg or conan, but I ultimately did not use either package manager.

Which dependencies are not in vcpkg? We can ask them to add it. It’s pretty easy just open an issue there https://github.com/microsoft/vcpkg/issues .

./vcpkg search netcdf gdal[netcdf] Enable NetCDF support minc 2.4.03#3 MINC - Medical Image NetCDF or MINC isn't netCDF minc[minc1] Support minc1 file format, requires NETCDF netcdf-c 4.8.1#2 A set of self-describing, machine-independent data formats that support th... netcdf-c[dap] Build with DAP remote access client support netcdf-c[hdf5] Build with HDF5 support netcdf-c[nczarr] Build with NCZarr cloud storage access support netcdf-c[nczarr-zip] Build with NCZarr ZIP support netcdf-c[netcdf-4] Build with netCDF-4 support netcdf-c[platform-default-features] Enable platform-dependent default features netcdf-c[tools] Build utilities netcdf-cxx4 4.3.1#4 a set of machine-independent data formats that support the creation, acces... The result may be outdated. Run `git pull` to get the latest results. If your port is not listed, please open an issue at and/or consider making a pull request. - https://github.com/Microsoft/vcpkg/issues

The hyperscan update to vcpkg seems to have happened from 5.4.0 to 5.4.2 in this commit on Apr 20.

Dear Fictrac team, I am hoping to install Fictrac in our windows 11 x64 laptop (Visual Studio 2019, cMake 3.26.4). I followed the installation guideline on github page fictrac and used the latest vcpkg

This works fine if one wants to do stuff like clang main.cpp -lvulkan, or even find_package(Vulkan REQUIRED) in CMake, but it doesn't define VULKAN_SDK, and therefore doesn't work with vcpkg's Vulkan support, for instance. A fair bit of Vulkan development, tutorials, etc. assume that the entire SDK is installed, as-is.

To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐

Explore here.

Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.

Right but that's not an inherent GPU determinism issue. It's a software issue.

https://github.com/tensorflow/tensorflow/issues/3103#issueco... is correct that it's not necessary, it's a choice.

Your line of reasoning appears to be "GPUs are inherently non-deterministic don't be quick to judge someone's code" which as far as I can tell is dead wrong.

Admittedly there are some cases and instructions that may result in non-determinism but they are inherently necessary. The author should thinking carefully before introducing non-determinism. There are many scenarios where it is irrelevant, but ultimately the issue we are discussing here isn't the GPU's fault.

and things like y = layers.ELU()(y) work as expected. I wanted to see a list of the available layers so I went to the Tensorflow GitHub repository and to the keras directory. There's a warning in that directory that says:

Exactly what language do you think TensorFlow is written in? :)

You can use Tensorflow's deep learning API for this.

Since you've specifically mentioned ML, here's Tenserflow's GitHub. I'm sure a quick glance through that will change your mind.