I need to leave and I'm not available tomorrow. I'll try to look at this
monday, but it will probably be Tuesday.

thanks


On Thu, Feb 13, 2014 at 3:32 PM, Jason Yosinski <notifications@github.com>wrote:

> In pylearn2/datasets/wiskott2.py:
>
> > +        # A list of label matrices, one per short video of ~200 frames
> > +        #   Example: self._label_matrices[0].shape: (200, 29)
> > +        self._label_matrices = self._load_data(dirs, label_regex, is_labels=True)
> > +
> > +        if self.is_fish:
> > +            self._target_1_matrices = [np.array(lm[:,:25]) for lm in self._label_matrices]
> > +            self._target_2_matrices = [np.array(lm[:,25:29]) for lm in self._label_matrices]
> > +        else:
> > +            self._target_1_matrices = [np.array(lm[:,:10]) for lm in self._label_matrices]
> > +            self._target_2_matrices = [np.array(lm[:,10:16]) for lm in self._label_matrices]
> > +
> > +        assert len(self._feature_matrices) == len(self._label_matrices)
> > +        self._n_matrices = len(self._feature_matrices)
> > +
> > +        print 'Memory used for features/labels: %.3fG/%.3fG' % (
> > +            sum([mat.nbytes for mat in self._feature_matrices]) / 1.0e9,
>
> Fixed GB calc in 2cdbb9f<https://github.com/lisa-lab/pylearn2/commit/2cdbb9f>
> .
>
> --
> Reply to this email directly or view it on GitHub<https://github.com/lisa-lab/pylearn2/pull/578/files#r9726167>
> .
>