Implement ParallelTestRunner display improvements

[christiangnrd]

Use default colour instead of :white and print rss in yellow when it's above the worker restart threshold

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 92.68%. Comparing base (f1c2dcb) to head (a0f90e1).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3245      +/-   ##
==========================================
+ Coverage   92.66%   92.68%   +0.01%     
==========================================
  Files         184      184              
  Lines       16176    16176              
==========================================
+ Hits        14990    14992       +2     
+ Misses       1186     1184       -2     

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[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: a0f90e1	Previous: f1c2dcb	Ratio
array/accumulate/Float32/1d	98042 ns	97757 ns	1.00
array/accumulate/Float32/dims=1	71812 ns	72251 ns	0.99
array/accumulate/Float32/dims=1L	1598790 ns	1599352 ns	1.00
array/accumulate/Float32/dims=2	137094 ns	137934 ns	0.99
array/accumulate/Float32/dims=2L	660445 ns	659774 ns	1.00
array/accumulate/Int64/1d	117945 ns	117850 ns	1.00
array/accumulate/Int64/dims=1	76493 ns	76396 ns	1.00
array/accumulate/Int64/dims=1L	1717002 ns	1715658 ns	1.00
array/accumulate/Int64/dims=2	148721 ns	148676 ns	1.00
array/accumulate/Int64/dims=2L	987228 ns	987161 ns	1.00
array/broadcast	18024 ns	17712 ns	1.02
array/broadcast launch	9460 ns	8751.333333333334 ns	1.08
array/construct	879.0862068965517 ns	874.6607142857143 ns	1.01
array/copy	16333 ns	16385 ns	1.00
array/copyto!/cpu_to_gpu	209160 ns	208209 ns	1.00
array/copyto!/gpu_to_cpu	240224 ns	240797 ns	1.00
array/copyto!/gpu_to_gpu	9066.666666666666 ns	8958.666666666666 ns	1.01
array/iteration/findall/bool	133162 ns	132638 ns	1.00
array/iteration/findall/int	147576 ns	146498 ns	1.01
array/iteration/findfirst/bool	68999 ns	68518 ns	1.01
array/iteration/findfirst/int	70650 ns	70195 ns	1.01
array/iteration/findmin/1d	65358 ns	64408 ns	1.01
array/iteration/findmin/2d	99696 ns	99376 ns	1.00
array/iteration/logical	190252 ns	187866 ns	1.01
array/iteration/scalar	62540 ns	62527 ns	1.00
array/permutedims/2d	48368 ns	48266 ns	1.00
array/permutedims/3d	49802 ns	50042 ns	1.00
array/permutedims/4d	49783 ns	49777 ns	1.00
array/random/rand/Float32	11734 ns	11710 ns	1.00
array/random/rand/Int64	22648 ns	22484 ns	1.01
array/random/rand!/Float32	7710.25 ns	7826.75 ns	0.99
array/random/rand!/Int64	20051 ns	19938 ns	1.01
array/random/randn/Float32	33231 ns	32948 ns	1.01
array/random/randn!/Float32	23365 ns	23411 ns	1.00
array/reductions/mapreduce/Float32/1d	32734 ns	32707 ns	1.00
array/reductions/mapreduce/Float32/dims=1	37560 ns	37678 ns	1.00
array/reductions/mapreduce/Float32/dims=1L	50666 ns	50368 ns	1.01
array/reductions/mapreduce/Float32/dims=2	54988 ns	54900 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	66933 ns	67068 ns	1.00
array/reductions/mapreduce/Int64/1d	40564 ns	39790 ns	1.02
array/reductions/mapreduce/Int64/dims=1	40526 ns	40639 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	88578 ns	88392 ns	1.00
array/reductions/mapreduce/Int64/dims=2	57392 ns	57524 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	83043 ns	82933 ns	1.00
array/reductions/reduce/Float32/1d	32821 ns	32599 ns	1.01
array/reductions/reduce/Float32/dims=1	37767 ns	37807 ns	1.00
array/reductions/reduce/Float32/dims=1L	50474 ns	50239 ns	1.00
array/reductions/reduce/Float32/dims=2	55146 ns	55233 ns	1.00
array/reductions/reduce/Float32/dims=2L	68316 ns	68967 ns	0.99
array/reductions/reduce/Int64/1d	39588 ns	39454 ns	1.00
array/reductions/reduce/Int64/dims=1	40468 ns	40134 ns	1.01
array/reductions/reduce/Int64/dims=1L	88425 ns	88225 ns	1.00
array/reductions/reduce/Int64/dims=2	57136 ns	57175 ns	1.00
array/reductions/reduce/Int64/dims=2L	82668 ns	82630 ns	1.00
array/reverse/1d	16756 ns	16492 ns	1.02
array/reverse/1dL	69715 ns	69275 ns	1.01
array/reverse/1dL_inplace	67293 ns	67321 ns	1.00
array/reverse/1d_inplace	8388 ns	10129.333333333334 ns	0.83
array/reverse/2d	19948 ns	20001 ns	1.00
array/reverse/2dL	73257 ns	73440 ns	1.00
array/reverse/2dL_inplace	67102 ns	67081 ns	1.00
array/reverse/2d_inplace	9880 ns	10270 ns	0.96
array/sorting/1d	2640728 ns	2656268 ns	0.99
array/sorting/2d	1028961 ns	1029271 ns	1.00
array/sorting/by	3183731 ns	3181708 ns	1.00
cuda/synchronization/context/auto	1024.9 ns	1011.2 ns	1.01
cuda/synchronization/context/blocking	778.360824742268 ns	775.875 ns	1.00
cuda/synchronization/context/nonblocking	5794.5 ns	5740.5 ns	1.01
cuda/synchronization/stream/auto	886.4375 ns	856.6833333333333 ns	1.03
cuda/synchronization/stream/blocking	674.8506493506494 ns	655.3548387096774 ns	1.03
cuda/synchronization/stream/nonblocking	5639.714285714285 ns	5544 ns	1.02
integration/byval/reference	147805 ns	147726 ns	1.00
integration/byval/slices=1	148555 ns	148600 ns	1.00
integration/byval/slices=2	291626 ns	291478 ns	1.00
integration/byval/slices=3	434719 ns	434349 ns	1.00
integration/cudadevrt	104954 ns	104975 ns	1.00
integration/volumerhs	9145716 ns	9136526 ns	1.00
kernel/indexing	12745 ns	12801 ns	1.00
kernel/indexing_checked	13663 ns	13502 ns	1.01
kernel/launch	2073.777777777778 ns	2195.5555555555557 ns	0.94
kernel/occupancy	709.625 ns	820.3666666666667 ns	0.87
kernel/rand	17459 ns	13730 ns	1.27
latency/import	4098684953 ns	4095440314 ns	1.00
latency/precompile	4870569993 ns	4856791188 ns	1.00
latency/ttfp	4556744415 ns	4540682922 ns	1.00

This comment was automatically generated by workflow using github-action-benchmark.