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Support bigarray with 0 dimension as scalar #7339

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vicuna opened this issue Aug 30, 2016 · 4 comments
Closed

Support bigarray with 0 dimension as scalar #7339

vicuna opened this issue Aug 30, 2016 · 4 comments

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@vicuna
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vicuna commented Aug 30, 2016

Original bug ID: 7339
Reporter: laurent.mazare
Assigned to: @gasche
Status: resolved (set by @gasche on 2016-09-01T17:18:39Z)
Resolution: fixed
Priority: normal
Severity: feature
Fixed in version: 4.05.0 +dev/beta1/beta2/beta3/rc1
Category: otherlibs
Monitored by: @yallop

Bug description

I'm wondering if there is some specific reason for not supporting the '0 dimension' case for bigarrays. This case is handled in some other numerical libraries, e.g. numpy or tensorflow, with the natural semantics of being a scalar value.

I tried relaxing the exceptions that currently prevent this case in the branch below + added some tests and it seems to work fine with a quite simple change:
trunk...LaurentMazare:trunk

Note that this doesn't include any support for the bigarray.{} syntax, not sure how worthy this is.

To give some context I came along this when writing some tensorflow ocaml bindings and the current workaround is to have a wrapper around the bigarray module that handles this scalar case with a bigarray with one dimension of size one. However this isn't very neat as it requires the wrapper to store whether the embedded data is a scalar or not. It would be quite nicer to have this supported by the bigarray module directly.

Would this sound like a reasonable change ?

@vicuna
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vicuna commented Aug 30, 2016

Comment author: @gasche

It does sound like a reasonable change to me, you should consider submitting a github pull request.

(You could squash the commits in your branch, and you should add a Changes entry in the "Next version" section.)

@vicuna
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vicuna commented Aug 30, 2016

Comment author: laurent.mazare

Ok thanks I've added the Changes entry and submitted a PR.

@vicuna
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vicuna commented Sep 1, 2016

Comment author: laurent.mazare

For reference, the PR is #787

@vicuna
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vicuna commented Sep 1, 2016

Comment author: @gasche

The proposed implementation is now merged in trunk (will not be part of the feature-frozen 4.04.0, but of the next release after that, probably 4.05). Thanks!

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