`MSVC` is true for clang-cl, but `"${CMAKE_CXX_COMPILER_ID}" STREQUAL
"MSVC"` is false, so we would enable -Wall, which means -Weverything
with clang-cl, and we get tons of undesired warnings.
Use the simpler condition to fix things.
Patch by: Reid Kleckner @rnk
I have absolutely no way to test this, but this looks obviously-good.
This was reported by Tim Northover @TNorthover in
http://lists.llvm.org/pipermail/llvm-commits/Week-of-Mon-20180903/584223.html
> I think this breaks some 32-bit configurations (well, mine at least).
> I was using Clang (from Xcode 10 beta) on macOS and got a bunch of
> errors referencing sysinfo.cc:292 and onwards:
> /Users/tim/llvm/llvm-project/llvm/utils/benchmark/src/sysinfo.cc:292:47:
> error: non-constant-expression cannot be narrowed from type
> 'std::__1::array<unsigned long long, 4>::value_type' (aka 'unsigned
> long long') to 'size_t' (aka 'unsigned long') in initializer list
> [-Wc++11-narrowing]
> } Cases[] = {{"hw.l1dcachesize", "Data", 1, CacheCounts[1]},
> ^~~~~~~~~~~~~~
>
> The same happens when self-hosting ToT. Unfortunately I couldn't
> reproduce the issue on Debian (Clang 6.0.1) even with libc++; I'm not
> sure what the difference is.
They are basically proto-version of custom user counters.
It does not seem that they do anything that custom user counters
don't do. And having two similar entities is not good for generalization.
Migration plan:
* ```
SetItemsProcessed(<val>)
=>
state.counters.insert({
{"<Name>", benchmark::Counter(<val>, benchmark::Counter::kIsRate)},
...
});
```
* ```
SetBytesProcessed(<val>)
=>
state.counters.insert({
{"<Name>", benchmark::Counter(<val>, benchmark::Counter::kIsRate,
benchmark::Counter::OneK::kIs1024)},
...
});
```
* ```
<Name>_processed()
=>
state.counters["<Name>"]
```
One thing the custom user counters miss is better support
for units of measurement.
Refs. https://github.com/google/benchmark/issues/627
* Counter(): add 'one thousand' param.
Needed for https://github.com/google/benchmark/pull/654
Custom user counters are quite custom. It is not guaranteed
that the user *always* expects for these to have 1k == 1000.
If the counter represents bytes/memory/etc, 1k should be 1024.
Some bikeshedding points:
1. Is this sufficient, or do we really want to go full on
into custom types with names?
I think just the '1000' is sufficient for now.
2. Should there be a helper benchmark::Counter::Counter{1000,1024}()
static 'constructor' functions, since these two, by far,
will be the most used?
3. In the future, we should be somehow encoding this info into JSON.
* Counter(): use std::pair<> to represent 'one thousand'
* Counter(): just use a new enum with two values 1000 vs 1024.
Simpler is better. If someone comes up with a real reason
to need something more advanced, it can be added later on.
* Counter: just store the 1000 or 1024 in the One_K values directly
* Counter: s/One_K/OneK/
There are two destinations:
* display (console, terminal) and
* file.
And each of the destinations can be poplulated with one of the reporters:
* console - human-friendly table-like display
* json
* csv (deprecated)
So using the name console_reporter is confusing.
Is it talking about the console reporter in the sense of
table-like reporter, or in the sense of display destination?
This is *only* exposed in the JSON. Not in CSV, which is deprecated.
This *only* supposed to track these two states.
An additional field could later track which aggregate this is,
specifically (statistic name, rms, bigo, ...)
The motivation is that we already have ReportAggregatesOnly,
but it affects the entire reports, both the display,
and the reporters (json files), which isn't ideal.
It would be very useful to have a 'display aggregates only' option,
both in the library's console reporter, and the python tooling,
This will be especially needed for the 'store separate iterations'.
This only specifically represents handling of reporting of aggregates.
Not of anything else. Making it more specific makes the name less generic.
This is an issue because i want to add "iteration report mode",
so the naming would be conflicting.
found while working on reproducible builds for openSUSE
To reproduce there
osc checkout openSUSE:Factory/benchmark && cd $_
osc build -j1 --vm-type=kvm
* Remove redundant default which causes failures
* Fix old GCC warnings caused by poor analysis
* Use __builtin_unreachable
* Use BENCHMARK_UNREACHABLE()
* Pull __has_builtin to benchmark.h too
* Also move compiler identification macro to main header
* Move custom compiler identification macro back
High system load can skew benchmark results. By including system load averages
in the library's output, we help users identify a potential issue in the
quality of their measurements, and thus assist them in producing better (more
reproducible) results.
I got the idea for this from Brendan Gregg's checklist for benchmark accuracy
(http://www.brendangregg.com/blog/2018-06-30/benchmarking-checklist.html).
* Set -Wno-deprecated-declarations for Intel
Intel compiler silently ignores -Wno-deprecated-declarations
so warning no. 1786 must be explicitly suppressed.
* Make std::int64_t → double casts explicit
While std::int64_t → double is a perfectly conformant
implicit conversion, Intel compiler warns about it.
Make them explicit via static_cast<double>.
* Make std::int64_t → int casts explicit
Intel compiler warns about emplacing an std::int64_t
into an int container. Just make the conversion explicit
via static_cast<int>.
* Cleanup Intel -Wno-deprecated-declarations workaround logic
Inspired by these [two](a1ebe07bea) [bugs](0891555be5) in my code due to the lack of those i have found fixed in my code:
* `kIsIterationInvariant` - `* state.iterations()`
The value is constant for every iteration, and needs to be **multiplied** by the iteration count.
* `kAvgIterations` - `/ state.iterations()`
The is global over all the iterations, and needs to be **divided** by the iteration count.
They play nice with `kIsRate`:
* `kIsIterationInvariantRate`
* `kAvgIterationsRate`.
I'm not sure how meaningful they are when combined with `kAvgThreads`.
I guess the `kIsThreadInvariant` can be added, too, for symmetry with `kAvgThreads`.
As previously discussed, let's flip the switch ^^.
This exposes the problem that it will now be run
for everyone, even if one did not read the help
about the recommended repetition count.
This is not good. So i think we can do the smart thing:
```
$ ./compare.py benchmarks gbench/Inputs/test3_run{0,1}.json
Comparing gbench/Inputs/test3_run0.json to gbench/Inputs/test3_run1.json
Benchmark Time CPU Time Old Time New CPU Old CPU New
--------------------------------------------------------------------------------------------------------
BM_One -0.1000 +0.1000 10 9 100 110
BM_Two +0.1111 -0.0111 9 10 90 89
BM_Two +0.2500 +0.1125 8 10 80 89
BM_Two_pvalue 0.2207 0.6831 U Test, Repetitions: 2. WARNING: Results unreliable! 9+ repetitions recommended.
BM_Two_stat +0.0000 +0.0000 8 8 80 80
```
(old screenshot)
Or, in the good case (noise omitted):
```
s$ ./compare.py benchmarks /tmp/run{0,1}.json
Comparing /tmp/run0.json to /tmp/run1.json
Benchmark Time CPU Time Old Time New CPU Old CPU New
---------------------------------------------------------------------------------------------------------------------------------
<99 more rows like this>
./_T012014.RW2/threads:8/real_time +0.0160 +0.0596 46 47 10 10
./_T012014.RW2/threads:8/real_time_pvalue 0.0000 0.0000 U Test, Repetitions: 100
./_T012014.RW2/threads:8/real_time_mean +0.0094 +0.0609 46 47 10 10
./_T012014.RW2/threads:8/real_time_median +0.0104 +0.0613 46 46 10 10
./_T012014.RW2/threads:8/real_time_stddev -0.1160 -0.1807 1 1 0 0
```
(old screenshot)
* Fix compilation on Android with GNU STL
GNU STL in Android NDK lacks string conversion functions from C++11, including std::stoul, std::stoi, and std::stod.
This patch reimplements these functions in benchmark:: namespace using C-style equivalents from C++03.
* Avoid use of log2 which doesn't exist in Android GNU STL
GNU STL in Android NDK lacks log2 function from C99/C++11.
This patch replaces their use in the code with double log(double) function.
* format all documents according to contributor guidelines and specifications
use clang-format on/off to stop formatting when it makes excessively poor decisions
* format all tests as well, and mark blocks which change too much
As @dominichamon and I have discussed, the current reporter interface
is poor at best. And something should be done to fix it.
I strongly suspect such a fix will require an entire reimagining
of the API, and therefore breaking backwards compatibility fully.
For that reason we should start deprecating and removing parts
that we don't intend to replace. One of these parts, I argue,
is the CSVReporter. I propose that the new reporter interface
should choose a single output format (JSON) and traffic entirely
in that. If somebody really wanted to replace the functionality
of the CSVReporter they would do so as an external tool which
transforms the JSON.
For these reasons I propose deprecating the CSVReporter.
The first problem you have to solve yourself. The second one can be aided.
The benchmark library can compute some statistics over the repetitions,
which helps with grasping the results somewhat.
But that is only for the one set of results. It does not really help to compare
the two benchmark results, which is the interesting bit. Thankfully, there are
these bundled `tools/compare.py` and `tools/compare_bench.py` scripts.
They can provide a diff between two benchmarking results. Yay!
Except not really, it's just a diff, while it is very informative and better than
nothing, it does not really help answer The Question - am i just looking at the noise?
It's like not having these per-benchmark statistics...
Roughly, we can formulate the question as:
> Are these two benchmarks the same?
> Did my change actually change anything, or is the difference below the noise level?
Well, this really sounds like a [null hypothesis](https://en.wikipedia.org/wiki/Null_hypothesis), does it not?
So maybe we can use statistics here, and solve all our problems?
lol, no, it won't solve all the problems. But maybe it will act as a tool,
to better understand the output, just like the usual statistics on the repetitions...
I'm making an assumption here that most of the people care about the change
of average value, not the standard deviation. Thus i believe we can use T-Test,
be it either [Student's t-test](https://en.wikipedia.org/wiki/Student%27s_t-test), or [Welch's t-test](https://en.wikipedia.org/wiki/Welch%27s_t-test).
**EDIT**: however, after @dominichamon review, it was decided that it is better
to use more robust [Mann–Whitney U test](https://en.wikipedia.org/wiki/Mann–Whitney_U_test)
I'm using [scipy.stats.mannwhitneyu](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.mannwhitneyu.html#scipy.stats.mannwhitneyu).
There are two new user-facing knobs:
```
$ ./compare.py --help
usage: compare.py [-h] [-u] [--alpha UTEST_ALPHA]
{benchmarks,filters,benchmarksfiltered} ...
versatile benchmark output compare tool
<...>
optional arguments:
-h, --help show this help message and exit
-u, --utest Do a two-tailed Mann-Whitney U test with the null
hypothesis that it is equally likely that a randomly
selected value from one sample will be less than or
greater than a randomly selected value from a second
sample. WARNING: requires **LARGE** (9 or more)
number of repetitions to be meaningful!
--alpha UTEST_ALPHA significance level alpha. if the calculated p-value is
below this value, then the result is said to be
statistically significant and the null hypothesis is
rejected. (default: 0.0500)
```
Example output:
As you can guess, the alpha does affect anything but the coloring of the computed p-values.
If it is green, then the change in the average values is statistically-significant.
I'm detecting the repetitions by matching name. This way, no changes to the json are _needed_.
Caveats:
* This won't work if the json is not in the same order as outputted by the benchmark,
or if the parsing does not retain the ordering.
* This won't work if after the grouped repetitions there isn't at least one row with
different name (e.g. statistic). Since there isn't a knob to disable printing of statistics
(only the other way around), i'm not too worried about this.
* **The results will be wrong if the repetition count is different between the two benchmarks being compared.**
* Even though i have added (hopefully full) test coverage, the code of these python tools is staring
to look a bit jumbled.
* So far i have added this only to the `tools/compare.py`.
Should i add it to `tools/compare_bench.py` too?
Or should we deduplicate them (by removing the latter one)?
* Add benchmark_main library with support for Bazel.
* fix newline at end of file
* Add CMake support for benchmark_main.
* Mention optionally using benchmark_main in README.
* Correct/clarify build/install instructions
GTest is google test, don't obsfucate needlessly for newcomers.
Adding google test into installation guide helps newcomers.
Third option under this line: "Note that Google Benchmark requires Google Test to build and run the tests. This
dependency can be provided three ways:"
Was not true (did not occur). If there is a further option that needs to be specified in order for that functionality to work it needs to be specified.
* Add prerequisite knowledge section
A lot of assumptions are made about the reader in the documentation. This is unfortunate.
* Removal of abbreviations for google test
Git was being executed in the current directory, so could not get the
latest tag if cmake was run from a build directory. Force git to be
run from with the source directory.
Note, bazel only supports MSVC on Windows, and not MinGW, so
linking against shlwapi.lib only needs to follow MSVC conventions.
git_repository() did not work in local testing, so is swapped for
http_archive(). The latter is also documented as the preferred way
to depend on an external library in bazel.
