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  • shoyer · 3 ✖
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503746105 https://github.com/pydata/xarray/issues/3032#issuecomment-503746105 https://api.github.com/repos/pydata/xarray/issues/3032 MDEyOklzc3VlQ29tbWVudDUwMzc0NjEwNQ== shoyer 1217238 2019-06-19T21:04:56Z 2019-06-19T21:04:56Z MEMBER

With NumPy arrays at least, there is no cost for broadcasting, because it can always be done with views. But even for other array types, inserting size 1 dimensions in the correct location should be basically free, and would be more helpful than what we currently do

On Wed, Jun 19, 2019 at 9:25 PM Oriol Abril notifications@github.com wrote:

I'm trying to think whether there would be any performance cost there - i.e. are there any arrays where preemptive broadcasting would be both expensive and unnecessary?

Even if there were a performance cost (compared to the actual behaviour), it could be easily avoided by using all dims as input_core_dims couldn't it? IIUC, all dims should be broadcasted unless they are in input core dims, so it broadcasting could still be avoided without problem.

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   apply_ufunc should preemptively broadcast 457716471
503650578 https://github.com/pydata/xarray/issues/3032#issuecomment-503650578 https://api.github.com/repos/pydata/xarray/issues/3032 MDEyOklzc3VlQ29tbWVudDUwMzY1MDU3OA== shoyer 1217238 2019-06-19T17:15:32Z 2019-06-19T17:15:32Z MEMBER

Yes, exactly.

 
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   apply_ufunc should preemptively broadcast 457716471
503618955 https://github.com/pydata/xarray/issues/3032#issuecomment-503618955 https://api.github.com/repos/pydata/xarray/issues/3032 MDEyOklzc3VlQ29tbWVudDUwMzYxODk1NQ== shoyer 1217238 2019-06-19T15:50:03Z 2019-06-19T15:50:03Z MEMBER

For what it's worth, I agree that this behavior is a little surprising. We should probably make apply_ufunc() explicitly broadcast arrays first.

 
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   apply_ufunc should preemptively broadcast 457716471

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