Seems like for dense clone is slower than like().assign I need to test it
with different sizes to be sure. I kept it from the old behavior.
On Apr 25, 2013 2:12 AM, "Dan Filimon" <[email protected]> wrote:

> Okay, so I should split it further into smaller sub-cases that handle each
> Vector type. I tried making so that these match the cases in the document
> to the extent possible.
> You're right. It is ugly and I need to split it up.
>
> I removed the OrderedIntDoubleMapping (but with another if...) but one
> more thing that helped is making the assign() only go through the non-zeros
> when setting up a new copy.
>
> About the copying, I saw that the optimized copy doesn't always call clone
> clone on the Vector. Why is this?
>
> Thanks for the test and the feedback! :)
>
>
> On Thu, Apr 25, 2013 at 8:30 AM, Robin Anil <[email protected]> wrote:
>
>> Yes its reaching dev. I checked out your code to take a look. I
>> understand you are trying to still mix isSequentialAccess etc in the
>> validity calculation. The whole point of this architecture is to completely
>> unroll things to be more modular instead of creating a giant spaghetti
>>
>> Here is an example of what I am trying to say.
>>
>> This is your current implementation of AssignIterateOneLookupOther. There
>> are so many conditionals
>>
>>
>>    1. @Override
>>    2.     public Vector assign(Vector x, Vector y, DoubleDoubleFunction
>>    f) {
>>    3.       return !swap ? assignInner(x, y, f) : assignInner(y, x, f);
>>    4.     }
>>    5.
>>    6.     public Vector assignInner(Vector x, Vector y,
>>    DoubleDoubleFunction f) {
>>    7.       Iterator<Vector.Element> xi = x.iterateNonZero();
>>    8.       Vector.Element xe;
>>    9.       Vector.Element ye;
>>    10.       OrderedIntDoubleMapping updates = newOrderedIntDoubleMapping();
>>    11.       while (xi.hasNext()) {
>>    12.         xe = xi.next();
>>    13.         ye = y.getElement(xe.index());
>>    14.         if (!swap) {
>>    15.           xe.set(f.apply(xe.get(), ye.get()));
>>    16.         } else {
>>    17.           if (ye.get() != 0.0 || y.isAddConstantTime()) {
>>    18.             ye.set(f.apply(ye.get(), xe.get()));
>>    19.           } else {
>>    20.             updates.set(xe.index(), f.apply(ye.get(), xe.get()));
>>    21.           }
>>    22.         }
>>    23.       }
>>    24.       if (swap && !y.isAddConstantTime()) {
>>    25.         y.mergeUpdates(updates);
>>    26.       }
>>    27.       return swap ? y : x;
>>    28.     }
>>    29.   }
>>
>> Split this into.
>>
>> IterateThisLookupThatInplaceUpdate
>> IterateThatLookupThisInplaceUpdate
>> IterateThisLookupThatMergeUpdate
>> IterateThatLookupThisMergeUpdate
>>
>> Removing the conditionals itself will speedup the operations you see
>> regression on.
>>
>> Also note that getElement() is not constant Add time for RASV. In earlier
>> version we tried at best to set in place. That reduced the extra hashkey
>> computation. getElement in AbstractVector is really optimized for
>> DenseVector and it does indicate as the cause of regression you are seeing
>> in RASV. Another one is the unused new OrderedIntDoubleMapping(). Removing
>> all these will bring back the loss.
>>
>> Now the cost for each can be computed as: cost of iteration + cost of
>> lookup + cost of update (if its not in-place)
>>
>> See the attached file for a mock test. You will have to rework the
>> expectations but the framework should be understandable.
>>
>>
>> ------
>> Robin Anil
>>
>>
>>
>> On Tue, Apr 23, 2013 at 4:09 AM, Dan Filimon <[email protected]
>> > wrote:
>>
>>> Here's [1] a link to the "design document" of the new vector operations
>>> so I can lay out the ideas behind what I'm doing more clearly.
>>>
>>> I'd like anyone who can to have a look and comment.
>>>
>>> Ted,
>>> I know you'd like me to get back to working on clustering, but
>>> currently, BallKMeans is roughly 2x as slow as Mahout's KMeans.
>>> This is because of centroid.update() for one (it doesn't have
>>> "interesting" properties that are exploited in the current) and also
>>> because we're using we're just doing lots of Vector operations: dot
>>> products for projections, hash codes for unique sets of candidates,
>>> equality checks etc.
>>>
>>> Here's a snapshot of the hotspots for one run of BallKMeans (20
>>> newsgroups, unprojected, i.e 20K sparse vectors with 200K dimensions and
>>> ~100 nonzero values):
>>>   Name Time (ms)  org.apache.mahout.math.AbstractVector.dot(Vector)
>>> 104069  org.apache.mahout.math.DelegatingVector.hashCode() 30159  
>>> org.apache.mahout.math.AbstractVector.assignIterateBoth(Iterator,
>>> Iterator, DoubleDoubleFunction) 13720
>>> org.apache.mahout.math.OrderedIntDoubleMapping.merge(OrderedIntDoubleMapping)
>>> 2911  java.lang.ClassLoader.loadClass(String, boolean) 2620  
>>> sun.misc.Launcher$AppClassLoader.loadClass(String,
>>> boolean) 2620
>>>
>>>
>>> You can see that the most time is spent doing Vector operations.
>>> Combined, the first three rows account for 91% of the runtime.
>>>
>>> Thanks for your help!
>>>
>>> PS: Is this reaching dev@?
>>>
>>> [1]
>>> https://docs.google.com/document/d/1g1PjUuvjyh2LBdq2_rKLIcUiDbeOORA1sCJiSsz-JVU/edit#
>>>
>>>
>>> On Tue, Apr 23, 2013 at 7:53 AM, Robin Anil <[email protected]>wrote:
>>>
>>>> Few more brain dump ideas
>>>>
>>>> For any operation (assign, aggregate) you are trying to do.
>>>> Compute set of "feasible" solutions: Based on all the properties of
>>>> functions
>>>> Choose the solution that minimises the cost.
>>>>
>>>> For this you may need to refactor all the special kinds of iterations
>>>> and aggregations subclassing from AssignOperation and AggregateOperation.
>>>> Each operation would return the cost given two input vectors (based on
>>>> their cost properties)
>>>>
>>>>
>>>>
>>>> ------
>>>> Robin Anil
>>>>
>>>>
>>>>
>>>> On Mon, Apr 22, 2013 at 8:46 PM, Robin Anil <[email protected]>wrote:
>>>>
>>>>> Strike that. I think the code is very confusing. You will have better
>>>>> luck if you create method for the three implementations. It will make
>>>>> things explicit and easy to debug.
>>>>>
>>>>> public final double getIterationCost() {
>>>>>  return one of {cardinality, 1.2*numNonDefault, numNonDefault}
>>>>> }
>>>>>
>>>>> public final double getLookupCost() {
>>>>>  return one of {1, 1.5(lets say), log_2(numNonDefault)}
>>>>> }
>>>>>
>>>>> All your logic then becomes a minimization of the total cost.
>>>>>
>>>>> This is more extendable than current isDense(), isSequential(),
>>>>> isSparse(), isRandom() and doesn't assume what the underlying
>>>>> implementation is.
>>>>>
>>>>>
>>>>> ------
>>>>> Robin Anil
>>>>>
>>>>>
>>>>>
>>>>> On Mon, Apr 22, 2013 at 8:09 PM, Robin Anil <[email protected]>wrote:
>>>>>
>>>>>>  Also the calculation for cost is wrong. RASV is HashMap based its
>>>>>> cost O(n) not O(log n)
>>>>>>
>>>>>> ------
>>>>>> Robin Anil
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Mon, Apr 22, 2013 at 4:43 PM, Robin Anil <[email protected]>wrote:
>>>>>>
>>>>>>>    This is an automatically generated e-mail. To reply, visit:
>>>>>>> https://reviews.apache.org/r/10669/
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line56>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> None
>>>>>>>
>>>>>>>    55
>>>>>>>
>>>>>>>     boolean commutativeAndAssociative = aggregator.isCommutative() && 
>>>>>>> aggregator.isAssociative();
>>>>>>>
>>>>>>>   This should be a method in AbstractFunction interface
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line1037>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 726, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 927, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>>    942
>>>>>>>
>>>>>>>       // Make all the non-zero values 0.
>>>>>>>
>>>>>>>   vector.clear()
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line1047>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 726, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 927, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>>    952
>>>>>>>
>>>>>>>       while (it.hasNext()) {
>>>>>>>
>>>>>>>   There is no guarantee of ordered iteration. The updates is unsorted. 
>>>>>>> merge typically implies that input is sorted
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line1074>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 726, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 927, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>>    979
>>>>>>>
>>>>>>>         element.set(values[index]);
>>>>>>>
>>>>>>>   What if there are values that are not in the existing data. I dont 
>>>>>>> this is correct
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line1100>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 726, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>> {'text': 'public int getNumNonZeroElements() {', 'line': 927, 
>>>>>>> 'expand_offset': 2}
>>>>>>>
>>>>>>>    999
>>>>>>>
>>>>>>>     invalidateCachedLength();
>>>>>>>
>>>>>>>   move invalidateCachedLength to the set method. Instead of dispersing 
>>>>>>> it everywhere.
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line1115>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> None
>>>>>>>
>>>>>>> {'text': '  private Vector assignIterateBoth(Iterator<Element> 
>>>>>>> thisIterator, Iterator<Element> thatIterator,', 'line': 1070}
>>>>>>>
>>>>>>>     1014
>>>>>>>
>>>>>>>   protected Vector assignSkipZerosIterateOne(Iterator<Element> 
>>>>>>> thisIterator, Vector other,
>>>>>>>
>>>>>>>   be consistent, this that or thisIterator that Iterator.
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/AbstractVector.java<https://reviews.apache.org/r/10669/diff/2/?file=283185#file283185line1171>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> None
>>>>>>>
>>>>>>> {'text': '  private Vector assignIterateBoth(Iterator<Element> 
>>>>>>> thisIterator, Iterator<Element> thatIterator,', 'line': 1070}
>>>>>>>
>>>>>>>     1070
>>>>>>>
>>>>>>>   private Vector assignIterateBoth(Iterator<Element> thisIterator, 
>>>>>>> Iterator<Element> thatIterator,
>>>>>>>
>>>>>>>   This expects the data to to be sorted. indicate that in a comment. 
>>>>>>> Similarly comment other places
>>>>>>>
>>>>>>>
>>>>>>>    
>>>>>>> math/src/main/java/org/apache/mahout/math/function/Functions.java<https://reviews.apache.org/r/10669/diff/2/?file=283202#file283202line900>
>>>>>>>  (Diff
>>>>>>> revision 2)
>>>>>>>
>>>>>>> None
>>>>>>>
>>>>>>> {'text': '      public boolean isLikeLeftMult() {', 'line': 892}
>>>>>>>
>>>>>>>    896
>>>>>>>
>>>>>>>       /**
>>>>>>>
>>>>>>>   Move this comments to the base class
>>>>>>>
>>>>>>>
>>>>>>> - Robin
>>>>>>>
>>>>>>> On April 22nd, 2013, 8:45 p.m., Dan Filimon wrote:
>>>>>>>   Review request for mahout, Ted Dunning, Sebastian Schelter, and
>>>>>>> Robin Anil.
>>>>>>> By Dan Filimon.
>>>>>>>
>>>>>>> *Updated April 22, 2013, 8:45 p.m.*
>>>>>>> Description
>>>>>>>
>>>>>>> This patch contains code cleaning up AbstractVector and making the 
>>>>>>> operations as fast as possible while still having a high level 
>>>>>>> interface.
>>>>>>>
>>>>>>> The main changes are in AbstractVector as well as new methods in 
>>>>>>> DoubleDoubleFunction.
>>>>>>>
>>>>>>>   Testing
>>>>>>>
>>>>>>> The vectors test pass but it's likely that the patch in it's current 
>>>>>>> state is broken as other, unrelated tests (BallKMeans...) are failing.
>>>>>>> Also, my Hadoop conf is broken so I didn't run all the core tests. 
>>>>>>> Anyone?
>>>>>>>
>>>>>>> I can't seem to find the bug, so _please_ have a closer look. It's 
>>>>>>> still a work in progress.
>>>>>>>
>>>>>>> The benchmarks seem comparable (although there are some jarring 
>>>>>>> diferences – Minkowski distance seems a lot slower in new-dan-1 than 
>>>>>>> old-trunk-2). It may be however that this is just variance due to the 
>>>>>>> load of the machine at the time. I'm having trouble interpreting the 
>>>>>>> benchmarks in general, so anyone who could give me a hand is more than 
>>>>>>> welcome.
>>>>>>>
>>>>>>>   Diffs
>>>>>>>
>>>>>>>    - math/src/main/java/org/apache/mahout/math/AbstractMatrix.java
>>>>>>>    (e12aa38)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/AbstractVector.java
>>>>>>>    (090aa7a)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/Centroid.java
>>>>>>>    (0c42196)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/ConstantVector.java
>>>>>>>    (51d67d4)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/DelegatingVector.java
>>>>>>>    (12220d4)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/DenseVector.java
>>>>>>>    (41c356b)
>>>>>>>    - 
>>>>>>> math/src/main/java/org/apache/mahout/math/FileBasedSparseBinaryMatrix.java
>>>>>>>    (094003b)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/MatrixSlice.java
>>>>>>>    (7f79c96)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/MatrixVectorView.java
>>>>>>>    (af70727)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/NamedVector.java
>>>>>>>    (4b7a41d)
>>>>>>>    - 
>>>>>>> math/src/main/java/org/apache/mahout/math/OrderedIntDoubleMapping.java
>>>>>>>    (650d82d)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/PermutedVectorView.java
>>>>>>>    (d1ea93a)
>>>>>>>    - 
>>>>>>> math/src/main/java/org/apache/mahout/math/RandomAccessSparseVector.java
>>>>>>>    (6f85692)
>>>>>>>    - 
>>>>>>> math/src/main/java/org/apache/mahout/math/SequentialAccessSparseVector.java
>>>>>>>    (21982f9)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/Vector.java (2f8b417)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/VectorView.java
>>>>>>>    (add2a60)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/WeightedVector.java
>>>>>>>    (06fbd05)
>>>>>>>    - 
>>>>>>> math/src/main/java/org/apache/mahout/math/function/DoubleDoubleFunction.java
>>>>>>>    (82b350a)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/function/Functions.java
>>>>>>>    (eb2e42f)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/function/PlusMult.java
>>>>>>>    (60587b1)
>>>>>>>    - 
>>>>>>> math/src/main/java/org/apache/mahout/math/function/TimesFunction.java
>>>>>>>    (8ab0bb1)
>>>>>>>    - math/src/main/java/org/apache/mahout/math/jet/math/Constants.java
>>>>>>>    (53535d6)
>>>>>>>    - math/src/test/java/org/apache/mahout/math/AbstractVectorTest.java
>>>>>>>    (2b11199)
>>>>>>>    - math/src/test/java/org/apache/mahout/math/VectorTest.java
>>>>>>>    (d6d554b)
>>>>>>>
>>>>>>> View Diff <https://reviews.apache.org/r/10669/diff/>
>>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>

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