ould be extended to bring autodiff to other array-based
libraries like CuPy, Sparse, and Dask.
For full release notes see [2]. Feedback, critiques, and ideas are welcome!
Cheers,
Ryan Soklaski
[1] MyGrad is not meant to "compete" with the likes of PyTorch and JAX,
which are fantastically-f
Hi Stephan,
You are correct that MyGrad takes an object-oriented design, rather than a
functional one. This enables a more imperative style of workflow [1], which
is how many people approach doing data science in notebooks and REPLs.
MyGrad feels similar to NumPy and PyTorch in this way.
Ultimate
As he said: this is not the appropriate use for this mailing list.
On Tue, Oct 19, 2021, 10:05 AM wrote:
> > You could use `dis.dis` to compare the two expressions and see that they
> compile to the same bytecode.
>
> Do you mean the following:
>
> In [1]: import numpy as np
> In [2]: from dis i
