[do not merge] Test GPUArrays sort #647
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Your PR requires formatting changes to meet the project's style guidelines. Click here to view the suggested changes.diff --git a/lib/mtl/capture.jl b/lib/mtl/capture.jl
index c2c1a77a..c101c5b7 100644
--- a/lib/mtl/capture.jl
+++ b/lib/mtl/capture.jl
@@ -59,7 +59,8 @@ function MTLCaptureDescriptor()
end
# TODO: Add capture state
-function MTLCaptureDescriptor(obj::Union{MTLDevice,MTLCommandQueue,MTLCaptureScope},
+function MTLCaptureDescriptor(
+ obj::Union{MTLDevice, MTLCommandQueue, MTLCaptureScope},
destination::MTLCaptureDestination;
folder::String=nothing)
desc = MTLCaptureDescriptor()
@@ -110,7 +111,8 @@ end
Start GPU frame capture using the default capture object and specifying capture descriptor parameters directly.
"""
-function startCapture(obj::Union{MTLDevice,MTLCommandQueue,MTLCaptureScope},
+function startCapture(
+ obj::Union{MTLDevice, MTLCommandQueue, MTLCaptureScope},
destination::MTLCaptureDestination=MTLCaptureDestinationGPUTraceDocument;
folder::String=nothing)
if destination == MTLCaptureDestinationGPUTraceDocument && folder === nothing
diff --git a/perf/array.jl b/perf/array.jl
index bc82d4bd..82db81ff 100644
--- a/perf/array.jl
+++ b/perf/array.jl
@@ -151,18 +151,18 @@ end
let group = addgroup!(group, "sorting")
let group = addgroup!(group, "Float32")
group["1d"] = @benchmarkable Metal.@sync sort($gpu_vec)
- group["by=sin"] = @benchmarkable Metal.@sync sort($gpu_vec; by=sin)
- # group["dims=1"] = @benchmarkable Metal.@sync sort($gpu_mat; dims=1)
- # group["dims=2"] = @benchmarkable Metal.@sync sort($gpu_mat; dims=2)
- # group["dims=1L"] = @benchmarkable Metal.@sync sort($gpu_mat_long; dims=1)
- # group["dims=2L"] = @benchmarkable Metal.@sync sort($gpu_mat_long; dims=2)
+ group["by=sin"] = @benchmarkable Metal.@sync sort($gpu_vec; by = sin)
+ # group["dims=1"] = @benchmarkable Metal.@sync sort($gpu_mat; dims=1)
+ # group["dims=2"] = @benchmarkable Metal.@sync sort($gpu_mat; dims=2)
+ # group["dims=1L"] = @benchmarkable Metal.@sync sort($gpu_mat_long; dims=1)
+ # group["dims=2L"] = @benchmarkable Metal.@sync sort($gpu_mat_long; dims=2)
end
let group = addgroup!(group, "Int64")
group["1d"] = @benchmarkable Metal.@sync sort($gpu_vec_ints)
- # group["dims=1"] = @benchmarkable Metal.@sync sort($gpu_mat_ints; dims=1)
- # group["dims=2"] = @benchmarkable Metal.@sync sort($gpu_mat_ints; dims=2)
- # group["dims=1L"] = @benchmarkable Metal.@sync sort($gpu_mat_long_ints; dims=1)
- # group["dims=2L"] = @benchmarkable Metal.@sync sort($gpu_mat_long_ints; dims=2)
+ # group["dims=1"] = @benchmarkable Metal.@sync sort($gpu_mat_ints; dims=1)
+ # group["dims=2"] = @benchmarkable Metal.@sync sort($gpu_mat_ints; dims=2)
+ # group["dims=1L"] = @benchmarkable Metal.@sync sort($gpu_mat_long_ints; dims=1)
+ # group["dims=2L"] = @benchmarkable Metal.@sync sort($gpu_mat_long_ints; dims=2)
end
end
diff --git a/perf/benchmark_graphs_nb.jl b/perf/benchmark_graphs_nb.jl
index ffecab59..0b500e53 100644
--- a/perf/benchmark_graphs_nb.jl
+++ b/perf/benchmark_graphs_nb.jl
@@ -18,142 +18,142 @@ end
# ╔═╡ 7259dbee-52ac-11f0-3192-dd97323b274a
begin
- using DataFrames
- using JSON
- using StatsPlots
- using PlutoUI
+ using DataFrames
+ using JSON
+ using StatsPlots
+ using PlutoUI
end
# ╔═╡ 09a99cb6-5e99-43ee-8b27-a8f84cb9770f
begin
- getbench(dict, benchstring::AbstractString) = getbench(dict, split(benchstring, "/"))
- function getbench(dict, benches::AbstractVector)
- _dict = _getbench(dict)
- for b in benches
- _dict = _getbench(_dict, b)
- end
- return _dict["time"]
- end
- function _getbench(dict)
- dict[2][1][2]["data"]["array"][2]
- end
- function _getbench(dict, bench)
- dict["data"][bench][2]
- end
+ getbench(dict, benchstring::AbstractString) = getbench(dict, split(benchstring, "/"))
+ function getbench(dict, benches::AbstractVector)
+ _dict = _getbench(dict)
+ for b in benches
+ _dict = _getbench(_dict, b)
+ end
+ return _dict["time"]
+ end
+ function _getbench(dict)
+ return dict[2][1][2]["data"]["array"][2]
+ end
+ function _getbench(dict, bench)
+ return dict["data"][bench][2]
+ end
end
# ╔═╡ 6c52f13d-11cb-47b2-812e-6316ab24c408
-begin
- benches = [
- # "accumulate/Int64/1d",
- # "accumulate/Int64/dims=1",
- # "accumulate/Int64/dims=2",
- "accumulate/Int64/dims=1L",
- "accumulate/Int64/dims=2L",
- # "accumulate/Float32/1d",
- # "accumulate/Float32/dims=1",
- # "accumulate/Float32/dims=2",
- "accumulate/Float32/dims=1L",
- "accumulate/Float32/dims=2L",
-
- # "reductions/reduce/Int64/1d",
- # "reductions/reduce/Int64/dims=1",
- # "reductions/reduce/Int64/dims=2",
- "reductions/reduce/Int64/dims=1L",
- "reductions/reduce/Int64/dims=2L",
- # "reductions/reduce/Float32/1d",
- # "reductions/reduce/Float32/dims=1",
- # "reductions/reduce/Float32/dims=2",
- "reductions/reduce/Float32/dims=1L",
- "reductions/reduce/Float32/dims=2L",
-
- # "reductions/mapreduce/Int64/1d",
- # "reductions/mapreduce/Int64/dims=1",
- # "reductions/mapreduce/Int64/dims=2",
- "reductions/mapreduce/Int64/dims=1L",
- "reductions/mapreduce/Int64/dims=2L",
- # "reductions/mapreduce/Float32/1d",
- # "reductions/mapreduce/Float32/dims=1",
- # "reductions/mapreduce/Float32/dims=2",
- "reductions/mapreduce/Float32/dims=1L",
- "reductions/mapreduce/Float32/dims=2L",
- ]
-
- configs = Dict()
- configs["M2 Max"] = [
- # ("M2 Max 1Curr", "benchmarkresultsmtlmain.json"),
- ("M2 Max 2CurrCUOpt","benchmarkresultsmtlbigkern.json"),
- # ("M2 Max 3Curr712","benchmarkresultsmtlcuopt712.json"),
- ("M2 Max 3NoGrain","benchmarkresultsmtlnograin.json"),
- ("M2 Max 4AK","benchmarkresultsmtlak.json"),
- ]
-
- configs["3060"] = [
- ("3060 1Curr","benchmarkresultscudamain.json"),
- ("3060 2AK","benchmarkresultscudaak.json"),
- ("3060 3AKThresh","benchmarkresultscudaakthresh.json"),
- ("3060 4AK512","benchmarkresultscudaak512.json"),
- ("3060 5AK1024","benchmarkresultscudaak1024.json"),
- ]
- configs["3090"] = [
- ("3090 1Curr","benchmarkresults3090main.json"),
- ("3090 2AK","benchmarkresults3090ak.json"),
- ("3090 3AKHeur ","benchmarkresults3090heur.json"),
- ]
- allconfs = vcat(values(configs)...)
+begin
+ benches = [
+ # "accumulate/Int64/1d",
+ # "accumulate/Int64/dims=1",
+ # "accumulate/Int64/dims=2",
+ "accumulate/Int64/dims=1L",
+ "accumulate/Int64/dims=2L",
+ # "accumulate/Float32/1d",
+ # "accumulate/Float32/dims=1",
+ # "accumulate/Float32/dims=2",
+ "accumulate/Float32/dims=1L",
+ "accumulate/Float32/dims=2L",
+
+ # "reductions/reduce/Int64/1d",
+ # "reductions/reduce/Int64/dims=1",
+ # "reductions/reduce/Int64/dims=2",
+ "reductions/reduce/Int64/dims=1L",
+ "reductions/reduce/Int64/dims=2L",
+ # "reductions/reduce/Float32/1d",
+ # "reductions/reduce/Float32/dims=1",
+ # "reductions/reduce/Float32/dims=2",
+ "reductions/reduce/Float32/dims=1L",
+ "reductions/reduce/Float32/dims=2L",
+
+ # "reductions/mapreduce/Int64/1d",
+ # "reductions/mapreduce/Int64/dims=1",
+ # "reductions/mapreduce/Int64/dims=2",
+ "reductions/mapreduce/Int64/dims=1L",
+ "reductions/mapreduce/Int64/dims=2L",
+ # "reductions/mapreduce/Float32/1d",
+ # "reductions/mapreduce/Float32/dims=1",
+ # "reductions/mapreduce/Float32/dims=2",
+ "reductions/mapreduce/Float32/dims=1L",
+ "reductions/mapreduce/Float32/dims=2L",
+ ]
+
+ configs = Dict()
+ configs["M2 Max"] = [
+ # ("M2 Max 1Curr", "benchmarkresultsmtlmain.json"),
+ ("M2 Max 2CurrCUOpt", "benchmarkresultsmtlbigkern.json"),
+ # ("M2 Max 3Curr712","benchmarkresultsmtlcuopt712.json"),
+ ("M2 Max 3NoGrain", "benchmarkresultsmtlnograin.json"),
+ ("M2 Max 4AK", "benchmarkresultsmtlak.json"),
+ ]
+
+ configs["3060"] = [
+ ("3060 1Curr", "benchmarkresultscudamain.json"),
+ ("3060 2AK", "benchmarkresultscudaak.json"),
+ ("3060 3AKThresh", "benchmarkresultscudaakthresh.json"),
+ ("3060 4AK512", "benchmarkresultscudaak512.json"),
+ ("3060 5AK1024", "benchmarkresultscudaak1024.json"),
+ ]
+ configs["3090"] = [
+ ("3090 1Curr", "benchmarkresults3090main.json"),
+ ("3090 2AK", "benchmarkresults3090ak.json"),
+ ("3090 3AKHeur ", "benchmarkresults3090heur.json"),
+ ]
+ allconfs = vcat(values(configs)...)
end
# ╔═╡ 1b9a4018-d995-4319-b8ff-1504dbc7ae7d
begin
- benchresults = Dict()
- for (conf, fname) in allconfs
- benchresults[conf] = JSON.parsefile(fname)
- end
+ benchresults = Dict()
+ for (conf, fname) in allconfs
+ benchresults[conf] = JSON.parsefile(fname)
+ end
end
# ╔═╡ 97d12cad-123b-46a2-bdc0-aeae60d9cadd
begin
- organizedresults = Dict()
- for bench in benches
- _res = Dict()
- for (conf,_) in allconfs
- _res[conf] = getbench(benchresults[conf], bench)
- end
- organizedresults[bench] = _res
- end
- organizedresults
+ organizedresults = Dict()
+ for bench in benches
+ _res = Dict()
+ for (conf, _) in allconfs
+ _res[conf] = getbench(benchresults[conf], bench)
+ end
+ organizedresults[bench] = _res
+ end
+ organizedresults
end
# ╔═╡ b619106c-b4ca-4f41-a4cd-c0bf46982631
begin
- res_df = let
- _bench = String[]
- _config = String[]
- _time = Float64[]
- for bench in benches, (conf,_) in allconfs
- push!(_bench, bench)
- push!(_config, conf)
- push!(_time, organizedresults[bench][conf])
- end
- DataFrame(Bench=_bench, Test=_config, Time=_time)
- end
- res_df
- md"The unfiltered dataframe"
+ res_df = let
+ _bench = String[]
+ _config = String[]
+ _time = Float64[]
+ for bench in benches, (conf, _) in allconfs
+ push!(_bench, bench)
+ push!(_config, conf)
+ push!(_time, organizedresults[bench][conf])
+ end
+ DataFrame(Bench = _bench, Test = _config, Time = _time)
+ end
+ res_df
+ md"The unfiltered dataframe"
end
# ╔═╡ 71f098a8-49bb-4b31-8c1a-e75a80735d4a
begin
-allconfkeys = sort(collect(keys(configs)))
-defconf = "3090" in allconfkeys ? "3090" : first(allconfkeys)
-md"
+ allconfkeys = sort(collect(keys(configs)))
+ defconf = "3090" in allconfkeys ? "3090" : first(allconfkeys)
+ md"
GPU: $(@bind backends MultiCheckBox(allconfkeys;default=[defconf]))
"
end
# ╔═╡ 9b41f92f-cff1-4770-afe1-044abd228484
begin
-benchmark_opts = filter(x->any(startswith.(Ref(x), backends)), first.(allconfs))
-md"
+ benchmark_opts = filter(x -> any(startswith.(Ref(x), backends)), first.(allconfs))
+ md"
Benchmarks: $(@bind benchmarks MultiCheckBox(benchmark_opts; default=benchmark_opts))
"
end
@@ -161,37 +161,37 @@ end
# ╔═╡ 33a148af-7991-45eb-8031-59c70ead8ec0
# The filtered dataframe
begin
- plot_df = filter(x->in(x.Test, benchmarks), res_df)
- md"The filtered dataframe"
+ plot_df = filter(x -> in(x.Test, benchmarks), res_df)
+ md"The filtered dataframe"
end
# ╔═╡ e099b6dd-f7b6-4201-bd29-275c30f35d1c
-function plot_benches(df, title; ylabel="Time (ns)")
- df = filter(x->startswith(x.Bench, title), df)
- tlabs = [b[length(title)+2:end] for b in unique(df.Bench)]
- if startswith(title, "reductions/")
- title = title[length("reductions/")+1:end]
- end
- groupedbar(df.Time; group = df.Test, bar_position = :dodge, ylabel, title, #=legendtitle="Test",=# xticks=(1:length(tlabs),tlabs), xtickfontsize=6)
+function plot_benches(df, title; ylabel = "Time (ns)")
+ df = filter(x -> startswith(x.Bench, title), df)
+ tlabs = [b[(length(title) + 2):end] for b in unique(df.Bench)]
+ if startswith(title, "reductions/")
+ title = title[(length("reductions/") + 1):end]
+ end
+ return groupedbar(df.Time; group = df.Test, bar_position = :dodge, ylabel, title, #=legendtitle="Test",=# xticks = (1:length(tlabs), tlabs), xtickfontsize = 6)
end
# ╔═╡ 090186dd-41f2-4b64-84bf-908537b6c186
-plot(plot_benches(plot_df, "accumulate/Int64"),plot_benches(plot_df, "accumulate/Float32"),layout=2;ylabel="")
+plot(plot_benches(plot_df, "accumulate/Int64"), plot_benches(plot_df, "accumulate/Float32"), layout = 2; ylabel = "")
# ╔═╡ 5ac936e9-0d75-43f6-97fb-6824512afe12
-plot(plot_benches(plot_df, "reductions/reduce/Int64"),plot_benches(plot_df, "reductions/reduce/Float32";ylabel=""),layout=2)
+plot(plot_benches(plot_df, "reductions/reduce/Int64"), plot_benches(plot_df, "reductions/reduce/Float32"; ylabel = ""), layout = 2)
# ╔═╡ 9d49a3e3-bdf5-46f0-a29c-d81d88066bb4
-plot(plot_benches(plot_df, "reductions/mapreduce/Int64"),plot_benches(plot_df, "reductions/mapreduce/Float32";ylabel=""),layout=2)
+plot(plot_benches(plot_df, "reductions/mapreduce/Int64"), plot_benches(plot_df, "reductions/mapreduce/Float32"; ylabel = ""), layout = 2)
# ╔═╡ 5f0396e0-b0a5-4a68-80ad-b01347f29dc3
length("reductions/reduce")
# ╔═╡ ec61beef-b93c-4ffe-a216-1f78c75312b8
-"reductions/reduce/Float32/dims=1"[length("reductions/reduce")+2:end]
+"reductions/reduce/Float32/dims=1"[(length("reductions/reduce") + 2):end]
# ╔═╡ 4bf14eb2-251c-4c5f-9523-bbd6a1db123c
-split("accumulate/Int64/1d","/";limit=1)
+split("accumulate/Int64/1d", "/"; limit = 1)
# ╔═╡ 00000000-0000-0000-0000-000000000001
PLUTO_PROJECT_TOML_CONTENTS = """
diff --git a/perf/runbenchmarks.jl b/perf/runbenchmarks.jl
index 2b6773fc..e73e8a82 100644
--- a/perf/runbenchmarks.jl
+++ b/perf/runbenchmarks.jl
@@ -1,7 +1,7 @@
# benchmark suite execution and codespeed submission
using Pkg
-Pkg.add(url="https://github.com/christiangnrd/GPUArrays.jl", rev="sort")
+Pkg.add(url = "https://github.com/christiangnrd/GPUArrays.jl", rev = "sort")
using Metal
diff --git a/test/runtests.jl b/test/runtests.jl
index 21d6b5d1..e41c0eab 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -1,5 +1,5 @@
using Pkg
-Pkg.add(url="https://github.com/christiangnrd/GPUArrays.jl", rev="sort")
+Pkg.add(url = "https://github.com/christiangnrd/GPUArrays.jl", rev = "sort")
using Distributed
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Metal Benchmarks
| Benchmark suite | Current: 1b6d4a8 | Previous: 9b8c604 | Ratio |
|---|---|---|---|
latency/precompile |
9966923250 ns |
9950383250 ns |
1.00 |
latency/ttfp |
4045766750 ns |
4042521958 ns |
1.00 |
latency/import |
1309155167 ns |
1300517645.5 ns |
1.01 |
integration/metaldevrt |
914958 ns |
902833 ns |
1.01 |
integration/byval/slices=1 |
1674625 ns |
1627146 ns |
1.03 |
integration/byval/slices=3 |
20244666 ns |
19739042 ns |
1.03 |
integration/byval/reference |
1626875 ns |
1631792 ns |
1.00 |
integration/byval/slices=2 |
2808542 ns |
2799250 ns |
1.00 |
kernel/indexing |
517125 ns |
502291 ns |
1.03 |
kernel/indexing_checked |
522917 ns |
524417 ns |
1.00 |
kernel/launch |
9542 ns |
8479.166666666668 ns |
1.13 |
array/construct |
6791 ns |
5958 ns |
1.14 |
array/broadcast |
525666 ns |
544166 ns |
0.97 |
array/random/randn/Float32 |
910083 ns |
901875 ns |
1.01 |
array/random/randn!/Float32 |
595834 ns |
602875 ns |
0.99 |
array/random/rand!/Int64 |
554584 ns |
559458 ns |
0.99 |
array/random/rand!/Float32 |
551708 ns |
549500 ns |
1.00 |
array/random/rand/Int64 |
878416 ns |
939708 ns |
0.93 |
array/random/rand/Float32 |
849084 ns |
838375 ns |
1.01 |
array/accumulate/Int64/1d |
1407333.5 ns |
1396042 ns |
1.01 |
array/accumulate/Int64/dims=1 |
1982625 ns |
1920958 ns |
1.03 |
array/accumulate/Int64/dims=2 |
2318750 ns |
2316166.5 ns |
1.00 |
array/accumulate/Int64/dims=1L |
12575084 ns |
12541000 ns |
1.00 |
array/accumulate/Int64/dims=2L |
10169666 ns |
10017708.5 ns |
1.02 |
array/accumulate/Float32/1d |
1167291 ns |
1188292 ns |
0.98 |
array/accumulate/Float32/dims=1 |
1717750 ns |
1700584 ns |
1.01 |
array/accumulate/Float32/dims=2 |
2159854 ns |
2092542 ns |
1.03 |
array/accumulate/Float32/dims=1L |
10589749.5 ns |
10561084 ns |
1.00 |
array/accumulate/Float32/dims=2L |
7700812.5 ns |
7616166 ns |
1.01 |
array/reductions/reduce/Int64/1d |
1315666 ns |
1284584 ns |
1.02 |
array/reductions/reduce/Int64/dims=1 |
1166667 ns |
1156208 ns |
1.01 |
array/reductions/reduce/Int64/dims=2 |
1326958 ns |
1306625 ns |
1.02 |
array/reductions/reduce/Int64/dims=1L |
2206000 ns |
2170417 ns |
1.02 |
array/reductions/reduce/Int64/dims=2L |
3611750 ns |
3596875 ns |
1.00 |
array/reductions/reduce/Float32/1d |
819125 ns |
831770.5 ns |
0.98 |
array/reductions/reduce/Float32/dims=1 |
879625 ns |
842667 ns |
1.04 |
array/reductions/reduce/Float32/dims=2 |
763292 ns |
754645.5 ns |
1.01 |
array/reductions/reduce/Float32/dims=1L |
1885083 ns |
1861417 ns |
1.01 |
array/reductions/reduce/Float32/dims=2L |
1926917 ns |
1892375 ns |
1.02 |
array/reductions/mapreduce/Int64/1d |
1327750 ns |
1287479 ns |
1.03 |
array/reductions/mapreduce/Int64/dims=1 |
1180417 ns |
1167833 ns |
1.01 |
array/reductions/mapreduce/Int64/dims=2 |
1332479.5 ns |
1287792 ns |
1.03 |
array/reductions/mapreduce/Int64/dims=1L |
2197375 ns |
2217750 ns |
0.99 |
array/reductions/mapreduce/Int64/dims=2L |
3629500 ns |
3605771 ns |
1.01 |
array/reductions/mapreduce/Float32/1d |
829708 ns |
804562.5 ns |
1.03 |
array/reductions/mapreduce/Float32/dims=1 |
864667 ns |
839750 ns |
1.03 |
array/reductions/mapreduce/Float32/dims=2 |
766708 ns |
750625 ns |
1.02 |
array/reductions/mapreduce/Float32/dims=1L |
1886833 ns |
1827146 ns |
1.03 |
array/reductions/mapreduce/Float32/dims=2L |
1921958 ns |
1906334 ns |
1.01 |
array/private/copyto!/gpu_to_gpu |
536625 ns |
585500 ns |
0.92 |
array/private/copyto!/cpu_to_gpu |
767396 ns |
762979 ns |
1.01 |
array/private/copyto!/gpu_to_cpu |
707916 ns |
716333 ns |
0.99 |
array/private/iteration/findall/int |
1699417 ns |
1641375 ns |
1.04 |
array/private/iteration/findall/bool |
1548208 ns |
1569250 ns |
0.99 |
array/private/iteration/findfirst/int |
1828354.5 ns |
1846916.5 ns |
0.99 |
array/private/iteration/findfirst/bool |
1766458 ns |
1736417 ns |
1.02 |
array/private/iteration/scalar |
2808458 ns |
3512729 ns |
0.80 |
array/private/iteration/logical |
2831208 ns |
2713125 ns |
1.04 |
array/private/iteration/findmin/1d |
1789667 ns |
1797333 ns |
1.00 |
array/private/iteration/findmin/2d |
1555104.5 ns |
1538604 ns |
1.01 |
array/private/copy |
813416 ns |
852167 ns |
0.95 |
array/shared/copyto!/gpu_to_gpu |
85542 ns |
79583 ns |
1.07 |
array/shared/copyto!/cpu_to_gpu |
84041 ns |
81125 ns |
1.04 |
array/shared/copyto!/gpu_to_cpu |
84541 ns |
80125 ns |
1.06 |
array/shared/iteration/findall/int |
1689458 ns |
1640084 ns |
1.03 |
array/shared/iteration/findall/bool |
1577563 ns |
1570958.5 ns |
1.00 |
array/shared/iteration/findfirst/int |
1488854 ns |
1480750 ns |
1.01 |
array/shared/iteration/findfirst/bool |
1429125 ns |
1411792 ns |
1.01 |
array/shared/iteration/scalar |
169583 ns |
158875 ns |
1.07 |
array/shared/iteration/logical |
2452250 ns |
2506750 ns |
0.98 |
array/shared/iteration/findmin/1d |
1447875 ns |
1439375 ns |
1.01 |
array/shared/iteration/findmin/2d |
1564437 ns |
1557645.5 ns |
1.00 |
array/shared/copy |
212292 ns |
214333 ns |
0.99 |
array/permutedims/4d |
2619791 ns |
2582042 ns |
1.01 |
array/permutedims/2d |
1309042 ns |
1282666.5 ns |
1.02 |
array/permutedims/3d |
1974875 ns |
1945146 ns |
1.02 |
array/sorting/Int64/1d |
8146667 ns |
||
array/sorting/Float32/1d |
8105208 ns |
||
array/sorting/Float32/by=sin |
15878478.5 ns |
||
metal/synchronization/stream |
15917 ns |
14792 ns |
1.08 |
metal/synchronization/context |
16292 ns |
15291 ns |
1.07 |
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