Chapter 1. Tensors and shapes about dmol-book HOT 1 CLOSED

Thanks for taking the time to write this out!

1. Tensors and shapes

Yes, order can distinguish between them but most libraries use rank and so we'll use that instead. I've revised this to be clearer

1.2.1 reduction operations

Was not aware of intershinx! Looks useful, will add an issue about it

1.4 Modifying rank

The angry face was more about the lack of consistency. I put it next to pytorch's unsqueeze, since that's the real odd one out!

1.4.1 Reshaping

Tried to revise to be clearer

1.5 Chapter Summary

revised

1.6.2 Reductions

I added one, will add more soon!

1.6.3 Broadcasting

Your understanding is correct. Revised to be clearer. A short answer (using the lessons on broadcasting!) is x[...,np.newaxis] - [3.5, 2.5]. I've added some input/output examples to be more clear. Probably easier to understand with examples.

Thank you again for the detailed feedback and I hope you're learning something new!

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from dmol-book.