On Tuesday, 24 March 2020 21:00:38 UTC, Sean Liao wrote:
>
> setup upfront shouldn't be a problem
> b.N is constant throughout the function lifetime, the entire function is 
> called multiple times during benchmarking
>

Thank you! I'd missed that. That makes things so much more straightforward 
for me.

 

>
> On Tuesday, March 24, 2020 at 9:56:19 PM UTC+1, Orson Cart wrote:
>>
>> On Tuesday, 24 March 2020 20:47:07 UTC, Robert Engels wrote:
>>>
>>> One way to handle this is to generate all of the data up front in an 
>>> array and then just index into the array based on the run. 
>>>
>>
>> Yeah, I had thought of that before posting but then I'd have to decide on 
>> a value for b.N. I was trying to roll with the idea of the framework 
>> establishing a value. To be honest if it wasn't for the fact that I was 
>> just curious as to why it wasn't working I'd just have settled for an array 
>> with a fixed b.N.
>>
>> All part of my golang learning experience
>>
>>  
>>
>>>
>>> On Mar 24, 2020, at 3:42 PM, Orson Cart <objectiv...@gmail.com> wrote:
>>>
>>> 
>>>
>>>
>>> On Tuesday, 24 March 2020 20:27:39 UTC, Adrian Ratnapala wrote:
>>>>
>>>> ...
>>>
>>> So that sounds like the use-case is to call Stop-, StartTimer once 
>>>> before you enter the main loop of the benchmark.  They not efficient 
>>>> enough for a tight inner loop. 
>>>>
>>>
>>> Thanks for the input and I think that you are probably correct. It would 
>>> be nice if the docs said that though.
>>>
>>> The code that I'm profiling wasn't written by me. It's fast but it 
>>> modifies its input data so it needs new data on each iteration. The 
>>> implementation is non-trivial and it might be a maintenance headache. I've 
>>> been asked to benchmark it along with less complicated implementations. It 
>>> was whilst trying to set up per-iteration test data that I came across this 
>>> issue.
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>  
>>>
>>>>
>>>> On Wed, 25 Mar 2020 at 06:51, Jake Montgomery <jake...@gmail.com> 
>>>> wrote: 
>>>> > 
>>>> > Strange. I hope someone has a real answer for you. 
>>>> > 
>>>> > In the meantime, you can simplify your example to demonstrate the 
>>>> issue: 
>>>> > 
>>>> > package demo_test 
>>>> > 
>>>> > import ( 
>>>> >     "testing" 
>>>> > ) 
>>>> > 
>>>> > var Foo1 []string 
>>>> > var Count int = 8 
>>>> > 
>>>> > func Benchmark1(b *testing.B) { 
>>>> >     for i := 0; i < b.N; i++ { 
>>>> >         Foo1 = foo(Count) 
>>>> >     } 
>>>> > } 
>>>> > 
>>>> > func Benchmark2(b *testing.B) { 
>>>> >     b.StopTimer() 
>>>> >     for i := 0; i < b.N; i++ { 
>>>> >         // Hypothetical setup here 
>>>> >         b.StartTimer() 
>>>> >         Foo1 = foo(Count) 
>>>> >         b.StopTimer() 
>>>> >     } 
>>>> > } 
>>>> > 
>>>> > 
>>>> > func foo(count int) []string { 
>>>> >     testData := []string{} 
>>>> >     for i := 0; i < count; i++ { 
>>>> >         testData = append(testData, "a") 
>>>> >     } 
>>>> > 
>>>> >     return testData 
>>>> > } 
>>>> > 
>>>> > I get: 
>>>> > 
>>>> > goos: windows 
>>>> > goarch: amd64 
>>>> > Benchmark1-4     2101567               584 ns/op 
>>>> > Benchmark2-4     1000000              1668 ns/op 
>>>> > PASS 
>>>> > 
>>>> > So it appears that StopTimer() and StartTimer() are introducing some 
>>>> overhead. I am surprised that it is this large. 
>>>> > 
>>>> > Good Luck 
>>>> > 
>>>> > 
>>>> > 
>>>> > On Tuesday, March 24, 2020 at 12:24:08 PM UTC-4, Orson Cart wrote: 
>>>> >> 
>>>> >> I posted this earlier but I realised that the code had a fundamental 
>>>> error in it. I've corrected here it but the underlying problem still 
>>>> exists. 
>>>> >> 
>>>> >> I've recently started using go test's benchmarks support and I'm 
>>>> particularly interested in understanding the benchmark timer functions. 
>>>> I've been getting results that I found surprising and I was wondering if 
>>>> anyone could explain what's going on here. 
>>>> >> 
>>>> >> The code below has three benchmarks that each invoke a single 
>>>> function (foo). The implementation of foo isn't important, it's just there 
>>>> to consume some time: 
>>>> >> - foo is called once per iteration in Benchmark1. 
>>>> >> - It's called twice per iteration in Benchmark2 so I'd expect 
>>>> Benchmark2's duration to be nominally twice that of Benchmark1. 
>>>> >> - It's also called twice per iteration in Benchmark3 but the first 
>>>> call is wrapped in b.StopTimer and b.startTimer calls. Because of this I'd 
>>>> have expected Benchmark3 to be about the same duration as Benchmark1 
>>>> >> 
>>>> >> Apologies for the length of the example but I didn't think it fair 
>>>> to ask the question and leave anything out. 
>>>> >> 
>>>> >> package demo_test 
>>>> >> 
>>>> >> import ( 
>>>> >> "strconv" 
>>>> >> "testing" 
>>>> >> ) 
>>>> >> 
>>>> >> var Foo1 []string 
>>>> >> var Foo2 []string 
>>>> >> var Count int = 32767 
>>>> >> 
>>>> >> func Benchmark1(b *testing.B) { 
>>>> >> for i := 0; i < b.N; i++{ 
>>>> >> Foo1 = foo(Count) 
>>>> >> } 
>>>> >> } 
>>>> >> 
>>>> >> func Benchmark2(b *testing.B) { 
>>>> >> for i := 0; i < b.N; i++{ 
>>>> >> Foo1 = foo(Count) 
>>>> >> Foo2 = foo(Count) 
>>>> >> } 
>>>> >> } 
>>>> >> 
>>>> >> func Benchmark3(b *testing.B) { 
>>>> >> for i := 0; i < b.N; i++{ 
>>>> >> b.StopTimer() 
>>>> >> Foo1 = foo(Count) 
>>>> >> b.StartTimer() 
>>>> >> Foo2 = foo(Count) 
>>>> >> } 
>>>> >> } 
>>>> >> 
>>>> >> func foo(count int) []string{ 
>>>> >> testData := []string{} 
>>>> >> for i:= 0; i < count; i++ { 
>>>> >> testData = append(testData, strconv.Itoa(i)) 
>>>> >> } 
>>>> >> 
>>>> >> return testData 
>>>> >> } 
>>>> >> 
>>>> >> 
>>>> >> When the benchmarks are run the results are as follows: 
>>>> >> 
>>>> >> Benchmark1-4         351           3345215 ns/op 
>>>> >> Benchmark2-4         166           7206582 ns/op 
>>>> >> Benchmark3-4         334           3457907 ns/op 
>>>> >> PASS 
>>>> >> ok      bar.com/benchmarks      6.881s 
>>>> >> 
>>>> >> OK benchmark3 is a little slower than Benchmark1 but that's not 
>>>> what's bothering me. It's this: if I now change Count to something much 
>>>> smaller the results are a surprise, at least to me. Here are the results 
>>>> when Count = 8: 
>>>> >> 
>>>> >> Benchmark1-4     2706196               442 ns/op 
>>>> >> Benchmark2-4     1357482               873 ns/op 
>>>> >> Benchmark3-4      840729              1387 ns/op 
>>>> >> PASS 
>>>> >> ok      bar.com/benchmarks      23.547s 
>>>> >> 
>>>> >> The ratio of timings for Benchmark1 and Benchmark2 are roughly in 
>>>> line with expectations but I was surprised to see that the timings for 
>>>> Benchmark3 are now larger than those for Benchmark2. 
>>>> >> 
>>>> >> Can anyone explain this? 
>>>> >> 
>>>> >> TIA 
>>>> >> Orson 
>>>> > 
>>>> > -- 
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>>>>  
>>>>
>>>>
>>>>
>>>>
>>>> -- 
>>>> Adrian Ratnapala 
>>>>
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