Hello community, here is the log from the commit of package python-Theano for openSUSE:Factory checked in at 2019-01-24 14:14:39 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-Theano (Old) and /work/SRC/openSUSE:Factory/.python-Theano.new.28833 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-Theano" Thu Jan 24 14:14:39 2019 rev:2 rq:667880 version:1.0.3 Changes: -------- --- /work/SRC/openSUSE:Factory/python-Theano/python-Theano.changes 2018-12-19 13:50:29.435195401 +0100 +++ /work/SRC/openSUSE:Factory/.python-Theano.new.28833/python-Theano.changes 2019-01-24 14:14:40.971274594 +0100 @@ -1,0 +2,5 @@ +Thu Dec 6 12:39:55 UTC 2018 - Jan Engelhardt <jeng...@inai.de> + +- Trim comparison that has no reference model named. + +------------------------------------------------------------------- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-Theano.spec ++++++ --- /var/tmp/diff_new_pack.9CRrXW/_old 2019-01-24 14:14:41.459274030 +0100 +++ /var/tmp/diff_new_pack.9CRrXW/_new 2019-01-24 14:14:41.463274025 +0100 @@ -51,8 +51,7 @@ Theano features: * tight integration with numpy - Use numpy.ndarray in Theano-compiled functions. -* transparent use of a GPU - Perform data-intensive calculations up to - 140x faster than with CPU. (float32 only) +* transparent use of a GPU * symbolic differentiation - Let Theano do your derivatives. * speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny.
