similar to: Samba Script?

I am having problem with Samba 2.x. I am be able to login to Samba without a problem :). When I login to "Shahid" account it directed to "/home/shahid" but I can still can see another user home dir too? why that so like I login as "shahid" account then can see "/home/shahid" but why I can see " /home/test" too - it shouldnt be? Each user

So IMO, if we modify the VF calculation for targets/subtargets using TTI where higher VF is supported The vectorizer’s scope will become wider. Did/do you foresee any issue with this? Thanks, Shahid From: Nadav Rotem [mailto:nrotem at apple.com] Sent: Saturday, December 13, 2014 2:47 AM To: Shahid, Asghar-ahmad Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] Vectorization factor limitation in

Hi Asghar-Ahmed, I saw your last ping - sorry, I'm away on vacation and back on Wednesday. Generally, I'm not sure that having both absd/hadd and sad are compatible with the discussions going on in other threads, for example my thread about min and max. Given that those two intrinsics are fairly trivial to match , I don't see the need to have two different canonical forms. James On

Hi Shahid, Thank you so much for your response. You suggested approach is what I am right now using. However, it seems that the overhead is a little bit high because we are introducing two more instructions. I was wondering if there was a cheaper way to do it. Best, Zhi On Mon, May 4, 2015 at 2:12 AM, Shahid, Asghar-ahmad < Asghar-ahmad.Shahid at amd.com> wrote: > Hi Zhi, > >

Thanks, Shahid. It is fixed now. On Fri, Apr 17, 2015 at 8:50 PM, Shahid, Asghar-ahmad < Asghar-ahmad.Shahid at amd.com> wrote: > Hi zhi, > > > > You have to also pass the value type to getDecalaration() API such as > > > > Value* sqrtv = Intrinsic::getDeclaration(M, Intrinsic::x86_sse2_sqrt_pd, > v->getType()); > > > > Regards, > >

Hi Renato, Thanks for your response. My concern was actually this. For example, take vector type V8i16 on X86 target With llvm.sad() intrinsic: VC1 (Vector Cost) = Cost associated with "PSAD" instruction. W/ llvm.absd() and llvm.hadd() VC2 = Cost associated with "absolute diff" + "horizontal add" ( ??? ) As I will be querying with getIntrinsicCost(ID) for these

> For the time being, if you can get away with heuristics, and that fills your > allocated time for this task, that it's the best way forward for now. Sorry that I could not get what exactly you mean with "heuristics". Is it the "intrinsics approach" itself or something else? BTW, now my plan is to just add the two intrinsics for 'absolute difference' and

On 4 May 2015 at 08:37, Shahid, Asghar-ahmad <Asghar-ahmad.Shahid at amd.com> wrote: > My worry is regarding the query for cost calculation for specific SAD > instructions such as ‘psad’ (X86) or ‘usad’ (ARM) in Loop Vectorizer. Hi Shahid, The vectorizer's cost model has the ability to return different costs for the same instruction based on the arguments (scalar/vector,

Hi Renato, That’s right. I agree with your *pattern vs complexity* thinking. So I would drop llvm.sad() and go ahead with the remaining two. Does it make sense in general? Regards, Shahid > -----Original Message----- > From: Renato Golin [mailto:renato.golin at linaro.org] > Sent: Tuesday, May 05, 2015 8:40 PM > To: Shahid, Asghar-ahmad > Cc: James Molloy; llvmdev at

Hi Shahid. Do you mind providing a concrete example of X86 code where an intrinsic was added (preferrable with filenames and line numbers)? I'm having difficulty tracking down the steps you provided. Any help is appreciated. On Mon, Apr 4, 2016 at 9:02 PM, Shahid, Asghar-ahmad < Asghar-ahmad.Shahid at amd.com> wrote: > Hi Rail, > > > > We had done this for generation

I'm starting to think we should directly implement horizontal operations on vector types. My suspicion is that coming up with a nice model for this would help us a lot with things like: - Idiom recognition of reduction patterns that use horizontal arithmetic - Ability to use horizontal operations in SLPVectorizer - Significantly easier cost modeling of vectorizing loops with reductions in

> why in order to add this particular instruction (sum elements in a vector) I need to add an insrinsic? Adding intrinsic is not the only way, it is one of the way and user WILL-NOT be required to invoke It specifically. Currently LLVM does not have any instruction to directly represent “sum of elements in a vector” and generate your particular instruction.However, you can do it without

Yes, what I mean is a target independent node in the ISD::NodeType enum. I already did the node transformation DAGCombiner and target-specific lowering in the first place. It worked. But introducing a specific node will make the logic more clear. For example, in ARM, FDIV is a scalar operation. So, after DAGCombiner and Vector Type legalize, vectorized FDIV has been expanded into scalar versions,

Hi Rail, Below 2 revisions might be of your interest which Detect SAD patterns and emit psadbw instructions on X86.: http://reviews.llvm.org/D14840 http://reviews.llvm.org/D14897 Intrinsics related to absdiff revisons : http://reviews.llvm.org/D10867 http://reviews.llvm.org/D11678 Hope this helps. Regards, Suyog On Sat, May 28, 2016 at 4:20 AM, Rail Shafigulin via llvm-dev < llvm-dev at

This would be really cool. We have several instructions that perform horizontal vector operations, and have to use built-ins to select them as there is no easy way of expressing them in a TD file. Some like SUM for a ‘v4i32’ are easy enough to express with a pattern fragment, SUM ‘v8i16’ takes TableGen a long time to compute, but SUM ‘v16i8’ resulted in TableGen disappearing into itself for

Hi Nadav/Devs I am exploring Loop Vectorizer to vectorize i8 scalar operations into 8xi8 vector operation. I was expecting the Loop Vectorizer to analyze the profitability for vectorization factor(VF) of 8, However it is not doing so due to the widest type calculation done for the blocks inside the loop. May be I am missing something, however, I am curious to know why Loop Vectorizer limits the

Hi Rail, We used a very simple pattern expansion (actually, not a pattern fragment). For example, for AND, ADD (horizontal sum), OR and XOR of 4 elements we use something like the following TableGen structure: class HORIZ_Op4<SDNode opc, RegisterClass regVT, ValueType rt, ValueType vt, string asmstr> : SHAVE_Instr<(outs regVT:$dst), (ins VRF128:$src),

I'm a little confused. Here is why. I was able to add a vector add instruction to my target without using any intrinsics and without adding any new instructions to LLVM. So here is my question: how come I managed to add a new vector instruction without adding an intrinsic and why in order to add this particular instruction (sum elements in a vector) I need to add an insrinsic? Another

After some attempt to implement reduce-add in LLVM, I found out a easier way to detect reduce-add without introducing new IR operations. The basic idea is annotating phi node instead of add (so that it is easier to handle other reduction operations). In PHINode class, we can add a flag indicating if the phi node is a reduction one (the flag can be set in loop vectorizer for vectorized phi nodes).

On Wed, Nov 25, 2015 at 2:32 PM, Hal Finkel <hfinkel at anl.gov> wrote: > Hi Cong, > > After reading the original RFC and this update, I'm still not entirely sure I understand the semantics of the flag you're proposing to add. Does it having something to do with the ordering of the reduction operations? The flag is only useful for vectorized reduction for now. I'll give