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Update cache.jl - #2604
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Update cache.jl#2604
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This seemed like a bug
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #2604 +/- ##
==========================================
- Coverage 73.63% 73.54% -0.10%
==========================================
Files 157 157
Lines 15207 15207
==========================================
- Hits 11198 11184 -14
- Misses 4009 4023 +14 ☔ View full report in Codecov by Sentry. |
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CUDA.jl Benchmarks
Details
| Benchmark suite | Current: 7328d3f | Previous: 62564aa | Ratio |
|---|---|---|---|
latency/precompile |
45354733130 ns |
45352888677 ns |
1.00 |
latency/ttfp |
6382441349.5 ns |
6365236644.5 ns |
1.00 |
latency/import |
3033778244 ns |
3028318014.5 ns |
1.00 |
integration/volumerhs |
9568316 ns |
9566694 ns |
1.00 |
integration/byval/slices=1 |
146684 ns |
146977 ns |
1.00 |
integration/byval/slices=3 |
425436 ns |
425622 ns |
1.00 |
integration/byval/reference |
144736 ns |
144997 ns |
1.00 |
integration/byval/slices=2 |
286563 ns |
286278 ns |
1.00 |
integration/cudadevrt |
103507 ns |
103635 ns |
1.00 |
kernel/indexing |
14284 ns |
14502 ns |
0.98 |
kernel/indexing_checked |
14901 ns |
15491 ns |
0.96 |
kernel/occupancy |
717.431654676259 ns |
685.9934210526316 ns |
1.05 |
kernel/launch |
2153.777777777778 ns |
2211.5555555555557 ns |
0.97 |
kernel/rand |
18127 ns |
15495 ns |
1.17 |
array/reverse/1d |
19518 ns |
19288.5 ns |
1.01 |
array/reverse/2d |
23540 ns |
25407 ns |
0.93 |
array/reverse/1d_inplace |
10128 ns |
11091 ns |
0.91 |
array/reverse/2d_inplace |
11486 ns |
12732 ns |
0.90 |
array/copy |
20470 ns |
20971 ns |
0.98 |
array/iteration/findall/int |
158142 ns |
159562 ns |
0.99 |
array/iteration/findall/bool |
138436 ns |
139396 ns |
0.99 |
array/iteration/findfirst/int |
153157 ns |
153501 ns |
1.00 |
array/iteration/findfirst/bool |
154954 ns |
154850 ns |
1.00 |
array/iteration/scalar |
78049 ns |
75791 ns |
1.03 |
array/iteration/logical |
215615.5 ns |
216533 ns |
1.00 |
array/iteration/findmin/1d |
40922 ns |
41336 ns |
0.99 |
array/iteration/findmin/2d |
94290 ns |
94735 ns |
1.00 |
array/reductions/reduce/1d |
35579 ns |
42301 ns |
0.84 |
array/reductions/reduce/2d |
50761.5 ns |
45473.5 ns |
1.12 |
array/reductions/mapreduce/1d |
33633 ns |
40507 ns |
0.83 |
array/reductions/mapreduce/2d |
41890.5 ns |
47968 ns |
0.87 |
array/broadcast |
21627 ns |
21824 ns |
0.99 |
array/copyto!/gpu_to_gpu |
11595 ns |
13701 ns |
0.85 |
array/copyto!/cpu_to_gpu |
213648 ns |
213728 ns |
1.00 |
array/copyto!/gpu_to_cpu |
245025 ns |
245756 ns |
1.00 |
array/accumulate/1d |
108333 ns |
108365 ns |
1.00 |
array/accumulate/2d |
79477 ns |
80195 ns |
0.99 |
array/construct |
1184.75 ns |
1204.7 ns |
0.98 |
array/random/randn/Float32 |
43906 ns |
43838 ns |
1.00 |
array/random/randn!/Float32 |
26619 ns |
26350 ns |
1.01 |
array/random/rand!/Int64 |
27193 ns |
27179 ns |
1.00 |
array/random/rand!/Float32 |
8810.333333333334 ns |
8916.333333333334 ns |
0.99 |
array/random/rand/Int64 |
29829 ns |
30059 ns |
0.99 |
array/random/rand/Float32 |
12959 ns |
12950 ns |
1.00 |
array/permutedims/4d |
67098 ns |
67259 ns |
1.00 |
array/permutedims/2d |
56667 ns |
56558.5 ns |
1.00 |
array/permutedims/3d |
59183 ns |
59379 ns |
1.00 |
array/sorting/1d |
2932018 ns |
2932110 ns |
1.00 |
array/sorting/by |
3500113 ns |
3498470 ns |
1.00 |
array/sorting/2d |
1084817.5 ns |
1085408 ns |
1.00 |
cuda/synchronization/stream/auto |
1042.6 ns |
1025.5 ns |
1.02 |
cuda/synchronization/stream/nonblocking |
6466.8 ns |
6545.6 ns |
0.99 |
cuda/synchronization/stream/blocking |
855.7872340425532 ns |
796.0645161290323 ns |
1.08 |
cuda/synchronization/context/auto |
1198.6 ns |
1190.9 ns |
1.01 |
cuda/synchronization/context/nonblocking |
6659.6 ns |
6739.6 ns |
0.99 |
cuda/synchronization/context/blocking |
948.0487804878048 ns |
903.25 ns |
1.05 |
This comment was automatically generated by workflow using github-action-benchmark.
THargreaves
pushed a commit
to THargreaves/CUDA.jl
that referenced
this pull request
Jan 7, 2025
avik-pal
pushed a commit
to avik-pal/CUDA.jl
that referenced
this pull request
Jan 11, 2025
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This seemed like a bug