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  • dcherian · 3 ✖

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  • apply_ufunc with dask='parallelized' and vectorize=True fails on compute_meta · 3 ✖

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567077240 https://github.com/pydata/xarray/issues/3574#issuecomment-567077240 https://api.github.com/repos/pydata/xarray/issues/3574 MDEyOklzc3VlQ29tbWVudDU2NzA3NzI0MA== dcherian 2448579 2019-12-18T15:21:19Z 2019-12-18T15:21:19Z MEMBER

Right the xarray solution is to set meta = np.ndarray if vectorize is True else None if the user doesn't explicitly provide meta. Or am I missing something? 

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   apply_ufunc with dask='parallelized' and vectorize=True fails on compute_meta 528701910
566640524 https://github.com/pydata/xarray/issues/3574#issuecomment-566640524 https://api.github.com/repos/pydata/xarray/issues/3574 MDEyOklzc3VlQ29tbWVudDU2NjY0MDUyNA== dcherian 2448579 2019-12-17T16:29:35Z 2019-12-17T16:29:35Z MEMBER

meta should be passed to blockwise through _apply_blockwise with default None (I think) and np.ndarray if vectorize is True. You'll have to pass the vectorize kwarg down to this level I think.

https://github.com/pydata/xarray/blob/6ad59b93f814b48053b1a9eea61d7c43517105cb/xarray/core/computation.py#L579-L593

 
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   apply_ufunc with dask='parallelized' and vectorize=True fails on compute_meta 528701910
565194778 https://github.com/pydata/xarray/issues/3574#issuecomment-565194778 https://api.github.com/repos/pydata/xarray/issues/3574 MDEyOklzc3VlQ29tbWVudDU2NTE5NDc3OA== dcherian 2448579 2019-12-12T21:28:39Z 2019-12-12T21:28:39Z MEMBER

@shoyer's option 1 should be a relatively simple xarray PR is one of you is up for it.

 
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   apply_ufunc with dask='parallelized' and vectorize=True fails on compute_meta 528701910

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