On Fri, Nov 9, 2018 at 8:11 AM Prathamesh Kulkarni
wrote:
>
> On Tue, 6 Nov 2018 at 16:04, Richard Biener
> wrote:
> >
> > On Mon, Nov 5, 2018 at 3:11 PM Prathamesh Kulkarni
> > wrote:
> > >
> > > On Mon, 5 Nov 2018 at 18:14, Richard Biener
> > > wrote:
> > > >
> > > > On Mon, Nov 5, 2018 at
On Tue, 6 Nov 2018 at 16:04, Richard Biener wrote:
>
> On Mon, Nov 5, 2018 at 3:11 PM Prathamesh Kulkarni
> wrote:
> >
> > On Mon, 5 Nov 2018 at 18:14, Richard Biener
> > wrote:
> > >
> > > On Mon, Nov 5, 2018 at 1:11 PM Prathamesh Kulkarni
> > > wrote:
> > > >
> > > > On Mon, 5 Nov 2018 at 15
On Mon, Nov 5, 2018 at 3:11 PM Prathamesh Kulkarni
wrote:
>
> On Mon, 5 Nov 2018 at 18:14, Richard Biener
> wrote:
> >
> > On Mon, Nov 5, 2018 at 1:11 PM Prathamesh Kulkarni
> > wrote:
> > >
> > > On Mon, 5 Nov 2018 at 15:10, Richard Biener
> > > wrote:
> > > >
> > > > On Fri, Nov 2, 2018 at
> On Nov 5, 2018, at 1:48 PM, Michael Matz wrote:
>
> Hi,
>
> On Mon, 5 Nov 2018, Jeff Law wrote:
>
Don't we have a flag specific to honoring nans? Would that be better
to use than flag_unsafe_math_optimizations? As Uli mentioned,
there's
>>>
>>> That's only relevant for
Hi,
On Mon, 5 Nov 2018, Jeff Law wrote:
> >> Don't we have a flag specific to honoring nans? Would that be better
> >> to use than flag_unsafe_math_optimizations? As Uli mentioned,
> >> there's
> >
> > That's only relevant for the comparison optimization, of course.
> >
> > Converting erfc
On 11/5/18 11:27 AM, Joseph Myers wrote:
> On Sun, 4 Nov 2018, Jeff Law wrote:
>
>> Don't we have a flag specific to honoring nans? Would that be better to
>> use than flag_unsafe_math_optimizations? As Uli mentioned, there's
>
> That's only relevant for the comparison optimization, of course.
On Sun, 4 Nov 2018, Jeff Law wrote:
> Don't we have a flag specific to honoring nans? Would that be better to
> use than flag_unsafe_math_optimizations? As Uli mentioned, there's
That's only relevant for the comparison optimization, of course.
Converting erfc to 1-erf is dubious, since the who
On Mon, 5 Nov 2018 at 18:14, Richard Biener wrote:
>
> On Mon, Nov 5, 2018 at 1:11 PM Prathamesh Kulkarni
> wrote:
> >
> > On Mon, 5 Nov 2018 at 15:10, Richard Biener
> > wrote:
> > >
> > > On Fri, Nov 2, 2018 at 10:37 AM Prathamesh Kulkarni
> > > wrote:
> > > >
> > > > Hi,
> > > > This patch
On Mon, Nov 5, 2018 at 1:11 PM Prathamesh Kulkarni
wrote:
>
> On Mon, 5 Nov 2018 at 15:10, Richard Biener
> wrote:
> >
> > On Fri, Nov 2, 2018 at 10:37 AM Prathamesh Kulkarni
> > wrote:
> > >
> > > Hi,
> > > This patch adds two transforms to match.pd to CSE erf/erfc pair.
> > > erfc(x) is canon
On Mon, 5 Nov 2018 at 15:10, Richard Biener wrote:
>
> On Fri, Nov 2, 2018 at 10:37 AM Prathamesh Kulkarni
> wrote:
> >
> > Hi,
> > This patch adds two transforms to match.pd to CSE erf/erfc pair.
> > erfc(x) is canonicalized to 1 - erf(x) and is then reversed to 1 -
> > erf(x) when canonicalizat
On Fri, Nov 2, 2018 at 10:37 AM Prathamesh Kulkarni
wrote:
>
> Hi,
> This patch adds two transforms to match.pd to CSE erf/erfc pair.
> erfc(x) is canonicalized to 1 - erf(x) and is then reversed to 1 -
> erf(x) when canonicalization is disabled and result of erf(x) has
> single use within 1 - erf
On 11/2/18 3:36 AM, Prathamesh Kulkarni wrote:
> Hi,
> This patch adds two transforms to match.pd to CSE erf/erfc pair.
> erfc(x) is canonicalized to 1 - erf(x) and is then reversed to 1 -
> erf(x) when canonicalization is disabled and result of erf(x) has
> single use within 1 - erf(x).
>
> The p
On Fri, Nov 2, 2018 at 10:36 AM Prathamesh Kulkarni
wrote:
> So, the patch adds another transform erf(x) > 1 -> 0
> which resolves the regression.
Why don't you match for any constant with absolute value >= 1.0
instead of just 1.0?
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