CODEWITHSUNDEEP
gobenchmarking
dylhunn
dylhunn

Reputation: 1434

How to use time value of benchmark

I have written a benchmark for my chess engine in Go:

func BenchmarkStartpos(b *testing.B) {
    board := ParseFen(startpos)
    for i := 0; i < b.N; i++ {
        Perft(&board, 5)
    }
}

I see this output when it runs:

goos: darwin
goarch: amd64
BenchmarkStartpos-4           10     108737398 ns/op
PASS
ok      _/Users/dylhunn/Documents/go-chess  1.215s

I want to use the time per execution (in this case, 108737398 ns/op) to compute another value, and also print it as a result of the benchmark. Specifically, I want to output nodes per second, which is given as the result of the Perft call divided by the time per call.

How can I access the time the benchmark took to execute, so I can print my own derived results?

Upvotes: 6

Views: 2081

Answers (1)

icza
icza

Reputation: 417777

You may use the testing.Benchmark() function to manually measure / benchmark "benchmark" functions (that have the signature of func(*testing.B)), and you get the result as a value of testing.BenchmarkResult, which is a struct with all the details you need:

type BenchmarkResult struct {
    N         int           // The number of iterations.
    T         time.Duration // The total time taken.
    Bytes     int64         // Bytes processed in one iteration.
    MemAllocs uint64        // The total number of memory allocations.
    MemBytes  uint64        // The total number of bytes allocated.
}

The time per execution is returned by the BenchmarkResult.NsPerOp() method, you can do whatever you want to with that.

See this simple example:

func main() {
    res := testing.Benchmark(BenchmarkSleep)
    fmt.Println(res)
    fmt.Println("Ns per op:", res.NsPerOp())
    fmt.Println("Time per op:", time.Duration(res.NsPerOp()))
}

func BenchmarkSleep(b *testing.B) {
    for i := 0; i < b.N; i++ {
        time.Sleep(time.Millisecond * 12)
    }
}

Output is (try it on the Go Playground):

     100      12000000 ns/op
Ns per op: 12000000
Time per op: 12ms

Upvotes: 10

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