Comments (2)
results = run(suite, verbose = true)
BenchmarkTools.save("output.json", median(results))
cf. https://github.com/benchmark-action/github-action-benchmark/blob/master/examples/julia/fib.jl
seems to work and
BenchmarkTools.load("output.json")
also seems to work. So I guess these are just undocumented
from benchmarktools.jl.
I found the BenchmarkTools.save method too verbose for my liking. You can also save the benchmark results as follows:
using BenchmarkTools
using JSON
t = @benchmark fib(n) samples=10
data = Dict("mean"=> mean(t).time, "min"=> minimum(t).time,
"max"=> maximum(t).time, "med"=>median(t).time)
open("output.json", "w") do f JSON.print(f, data) end
Note: the time units are stored in nanoseconds. See: #307
from benchmarktools.jl.
Related Issues (20)
- Memory estimate?
- Re-edit docs for multiple setup
- Add logo? HOT 26
- Run docs examples during CI instead of copypasting outputs
- `tune!` on benchmarkable with evals set. HOT 4
- @benchmark creates new symbol for each interpolation of a symbol HOT 3
- Removing `leaves` export HOT 5
- Remember keyword parameters for `tune!` HOT 3
- [Feature Request] Comparing two functions HOT 1
- Memory leak when repeatedly benchmarking HOT 5
- is `@benchmarkset` usable ? HOT 1
- Tag non-breaking release of BenchmarkTools.jl? HOT 5
- Feature request: asynchronously build a benchmark group HOT 2
- Should hardcoded version number be updated?
- cannot read benchmark JSON if run & written with `seconds=Inf`
- `judge` lacks a docstring HOT 1
- `@btime` reports wrong allocation HOT 1
- timeout measures warmup (eliminating many of the reasons to use timeout) HOT 1
- @Benchmarkset fails silently, returns null HOT 1
- Geometric mean as a measure
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from benchmarktools.jl.