sdk-python VS Pytorch

My problem with Temporal is that it doesn't support gevent https://github.com/temporalio/sdk-python/issues/59

> Unless Pydantic is downloading all OS binaries with the package and loading the right one at runtime, this would become a "problem" as well.

Nah, it's not that bad. I built a Rust-backed Python library used by many [0], and with setuptools-rust (maturin wasn't flexible enough at the time) and cibuildwheel and GH actions, the wheels are built/shipped with the shared libraries embedded and the end user never has to worry or even be aware of its presence.

Pydantic has already been shipping a binary mode with an option for pure Python, so maybe they'll keep the pure Python mode around.

0 - https://github.com/temporalio/sdk-python

Either way, let us know how it goes! Building something cool? We’d love to hear about it! Our forum has a new Show & Tell section. If you want to share, we’ll send you some sweet swag. Have feedback on how we can do better? We want to know that too. Raise an issue in the SDK or samples repos, or send us an email ([email protected]).

We built to logic backing the Temporal Python SDK[0] in Rust and leverage PyO3. Unfortunately Maturin didn't let us do some of the advanced things we needed to do for wheel creation (at the time, unsure now), so we use setuptools-rust with Poetry.

0 - https://github.com/temporalio/sdk-python

Going to shamelessly plug Temporal’s Python SDK which was designed for asyncio.

https://github.com/temporalio/sdk-python

Disclaimer: I work for Temporal

hey sorry for taking a while to respond, was busy with personal stuff and hope you see this.

1. yes. its on the order of months. start watching https://github.com/temporalio/sdk-python

2. temporal itself will not produce something like that, because we much rather have a lively community of third party maintainers/startups do that and be their supporters rather than competitors. interested?

PyTorch (https://pytorch.org/)

torch is a package to manage tensors and dynamic neural networks in python (GitHub)

PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832

TensorFlow

TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.

> does PyTorch have a similar concept

of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...

fyi should work on most 40xx[1]

[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...

Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...

Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....

> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].

*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.

In PyTorch with @, dot() or matmul():