similar to: "Failed to perform brick order check,..."

Hi Jean-Marc, Thanks a lot for reviewing this huge assembly function! silk_warped_autocorrelation_FIX_c()'s kernel part is for( n = 0; n < length; n++ ) { tmp1_QS = silk_LSHIFT32( (opus_int32)input[ n ], QS ); /* Loop over allpass sections */ for( i = 0; i < order; i++ ) { /* Output of allpass section */ tmp2_QS = silk_SMLAWB(

This is a great idea. But the order (psEncC->shapingLPCOrder) can be configured to 12, 14, 16, 20 and 24 according to complexity parameter. It's hard to get a universal function to handle all these orders efficiently. Any suggestions? Thanks, Linfeng On Mon, Feb 6, 2017 at 12:40 PM, Jean-Marc Valin <jmvalin at jmvalin.ca> wrote: > Hi Linfeng, > > On 06/02/17 02:51 PM,

Hi Jean-Marc, Thanks for your suggestions. Will get back to you once we have some updates. Linfeng On Mon, Feb 6, 2017 at 5:47 PM, Jean-Marc Valin <jmvalin at jmvalin.ca> wrote: > Hi Linfeng, > > On 06/02/17 07:18 PM, Linfeng Zhang wrote: > > This is a great idea. But the order (psEncC->shapingLPCOrder) can be > > configured to 12, 14, 16, 20 and 24 according to

I attached a new patch with small cleanup (disassembly is identical as the last patch). We have done the same internal testing as usual. Also, attached 2 failed temporary versions which try to reduce code size (just for code review reference purpose). The new patch of silk_warped_autocorrelation_FIX_neon() has a code size of 3,228 bytes (with gcc). smaller_slower.c has a code size of 2,304

Hi Giuseppe... ! Thanks for the hint. ill try it. So from the docs, I'm seeing this: "As of Fedora 16 there must be a biosboot partition for the bootloader to be installed successfully onto a disk that contains a GPT/GUID partition table, which includes disks initialized by anaconda. This partition may be created with the kickstart option part biosboot --fstype=biosboot --size=1.

Thank Jean-Marc! The speedup percentages are all relative to the entire encoder. Comparing to master, this optimization patch speeds up fixed-point SILK encoder on NEON as following: Complexity 5: 6.1% Complexity 6: 5.8% Complexity 8: 5.5% Complexity 10: 4.0% when testing on an Acer Chromebook, ARMv7 Processor rev 3 (v7l), CPU max MHz: 2116.5 Thanks, Linfeng On Wed, Apr 5, 2017 at 11:02 AM,

Hi, Attached is a patch with arm neon optimizations for silk_warped_autocorrelation_FIX(). Please review. Thanks, Felicia -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xiph.org/pipermail/opus/attachments/20170131/9a912bb4/attachment-0001.html> -------------- next part -------------- A non-text attachment was scrubbed... Name:

The following dummy data frame has factor Q (with 2 levels) nesting factor P (with levels p1 and p2 nested under q1, and p3 and p4 nested under q2), but both crossing the random variate s, which has 8 levels. The dependent measure is dv. > # The data frame: > testnest dv s P Q 1 1 s1 p1 q1 2 2 s2 p1 q1 3 1 s3 p1 q1 4 2 s4 p1 q1 5 1 s5 p1 q1 6 3 s6 p1 q1 7 3 s7

Hi Giuseppe and thanks for the response............ Heres some more info: Here is my kickstart... maybe the "--bootloader" argument is wrong in some way? # Put this in pastebin or some other public url # Kickstart file automatically generated by anaconda. #version=DEVEL install cdrom lang en_US.UTF-8 keyboard us network --onboot yes --device eth0 --bootproto dhcp --noipv6 timezone

Dear R users: I have some difficulties analizing data with mixed effects NLME and the last version of R. More concretely, I have a repeated measures design with a single group and 2 experimental factors (say A and B) and my interest is to compare additive and nonadditive models. suj rv A B 1 s1 4 a1 b1 2 s1 5 a1 b2 3 s1 7 a1 b3 4 s1 1 a2

Hello R-friends, i have a question to the "text"-function. a little test-dataset for better understanding: -the dataset was imported with read.table(....,header=TRUE) s1-s10 are the samplenames var1 var2 var3 s1 1 1 2 s2 2 3 1 s3 2 2 3 s4 5 4 3 s5 4 2 3 s6 6 3 2 s7 8 5 4 s8 7 2 1 s9 9 3 2

Hi, I need to subset different levels of vector in a dataset to create a new dataframe that contains only these. These observations are not numerical, so I can't use the subset() function (at least this is the response I get from R). Suppose the dataframe looks like this:   ParticipID    ERP   Electrode 1         s1  0.0370       FP1 2         s2 35.0654       FP2 3         s3

Hi gluster: Im getting the cryptic 107 error, (I guess this means gluster can't see a peer)... gluster peer probe vm-2 peer probe: failed: Probe returned with unknown errno 107 When I can effectively ssh and ping a given server. I've seen other threads regarding this, some of them to deal with the "net.ipv4.ip_nonlocal_bind" parameter, and also a bug

Hi, I am trying to read the "credit.lisp" file of the Japanese credit database in UCI repository, but it is in lisp format which I do not know how to read. I have not found how to do that in the foreign library http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening <http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening> Could anyone help me? Best

Today I attempted to upgrade to S10_U2 and migrate some mirrored UFS SVM partitions to ZFS. I used Live Upgrade to migrate from U1 to U2 and that went without a hitch on my SunBlade 2000. And the initial conversion of one side of the UFS mirrors to a ZFS pool and subsequent data migration went fine. However, when I attempted to attach the second side mirrors as a mirror of the ZFS pool, all

Hello everybody, I need to know which samples (S1-S6) contain a value that is bigger than the median + five standard deviations of the column he is in. This is just an example. Command should be applied to a data frame wich is a lot bigger (over 100 columns). Any solutions? Thank you very much for your help!!! > s Samples A B C E 1 S1 1 2 3 7 2

> On March 4, 2016 at 10:38 PM Stephan Bosch <stephan at rename-it.nl> wrote: > > > Op 3/4/2016 om 9:18 PM schreef Peter Chiochetti: > > Am 2016-03-04 um 21:03 schrieb Stephan Bosch: > >> Op 3/4/2016 om 7:15 PM schreef Peter Chiochetti: > >>> Since dovecot put up packages on their own repo, bigmichi stopped > >>> providing his'. I

To reduce memory consumption clobbered registers are handled with RegisterMask machine operands which contain a bitset of all registers clobbered. - Matthias > On Jul 29, 2015, at 3:00 PM, Daniel Sanders <daniel.sanders at imgtec.com> wrote: > > I believe I've identified the problem with almabench but I haven't found the root cause in the compiler yet. > > The

Hey james and JMW: Can/Should we schedule a google hangout where james spins up a puppet-gluster based gluster deployment on fedora from scratch? Would love to see it in action (and possibly steal it for our own vagrant recipes). To speed this along: Assuming James is in England here , correct me if im wrong, but if so ~ Let me propose a date: Tuesday at 12 EST (thats 5 PM in london - which i

Hello, I am trying to learn how to perform Multiple Regression Analysis in R. I decided to take a simple example given in this PDF: http://www.utdallas.edu/~herve/abdi-prc-pretty.pdf I created a small CSV called, students.csv that contains the following data: s1 14 4 1 s2 23 4 2 s3 30 7 2 s4 50 7 4 s5 39 10 3 s6 67 10 6 Col headers: Student id, Memory span(Y), age(X1), speech rate(X2) Now