A Friday 10 June 2011 22:18:04 Brad Buran escrigué: > What is the simplest way to implement a Float16Atom for PyTables? I > ran a few quick tests using Numpy 1.6 and the latest version of > PyTables and it did not work out of the box. I even edited > tables/atom.py to include float16 but it does not appear that adding > a Float16Atom is enough. The error came from the library created by > utilsExtension.pyx. At this point, I got a bit stumped. I'm > willing to push deeper into the code if it's a relatively simple > task of adding the right definitions in the right places. However, > before I do that, I want to make sure that this hasn't already been > done before, and if it hasn't been done before, whether there are > any larger issues to adding a Float16Atom to PyTables that I may be > ignorant of.
First of all, you need to implement this new type with the underlying HDF5 API. See: http://hdf-forum.184993.n3.nabble.com/Half-precision-floating-point- format-td194774.html for hints on how to do this. Next, it is just a matter of adding this new type to tables/utilsExtension.pyx, and then allow for a 'float16' dtype in tables/atom.py (and declare it in tables/__init__.py). I think that should be all. While the above should be feasible, I much easier way to make 'float16' types taking less space on-disk is to use 'float32' in combination with compression. Cheers, -- Francesc Alted ------------------------------------------------------------------------------ EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
