Enable downstream CI for 0.10

[vchuravy]

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[vchuravy]

@maleadt Currently we only run the KA tests for CUDA, but should we also run some GPUArrays test to ensure that KA doesn't break things?

[github-actions]

Benchmark Results

	main	4c2fc9f...	main / 4c2fc9f...
saxpy/default/Float32/1024	0.0435 ± 0.029 ms	0.0477 ± 0.03 ms	0.912 ± 0.82
saxpy/default/Float32/1048576	0.457 ± 0.021 ms	0.445 ± 0.023 ms	1.03 ± 0.072
saxpy/default/Float32/16384	0.057 ± 0.026 ms	0.056 ± 0.026 ms	1.02 ± 0.67
saxpy/default/Float32/2048	0.0455 ± 0.026 ms	0.045 ± 0.026 ms	1.01 ± 0.83
saxpy/default/Float32/256	0.0434 ± 0.03 ms	0.0572 ± 0.029 ms	0.759 ± 0.64
saxpy/default/Float32/262144	0.157 ± 0.025 ms	0.155 ± 0.026 ms	1.01 ± 0.23
saxpy/default/Float32/32768	0.0614 ± 0.026 ms	0.0599 ± 0.026 ms	1.03 ± 0.62
saxpy/default/Float32/4096	0.0485 ± 0.023 ms	0.0476 ± 0.023 ms	1.02 ± 0.7
saxpy/default/Float32/512	0.0448 ± 0.029 ms	0.0593 ± 0.029 ms	0.755 ± 0.62
saxpy/default/Float32/64	0.0439 ± 0.029 ms	0.0447 ± 0.029 ms	0.981 ± 0.9
saxpy/default/Float32/65536	0.0761 ± 0.026 ms	0.074 ± 0.026 ms	1.03 ± 0.5
saxpy/default/Float64/1024	0.0441 ± 0.029 ms	0.0465 ± 0.029 ms	0.947 ± 0.86
saxpy/default/Float64/1048576	0.56 ± 0.078 ms	0.511 ± 0.061 ms	1.1 ± 0.2
saxpy/default/Float64/16384	0.0619 ± 0.026 ms	0.0626 ± 0.026 ms	0.99 ± 0.59
saxpy/default/Float64/2048	0.045 ± 0.024 ms	0.0445 ± 0.025 ms	1.01 ± 0.8
saxpy/default/Float64/256	0.0468 ± 0.029 ms	0.0595 ± 0.029 ms	0.786 ± 0.62
saxpy/default/Float64/262144	0.171 ± 0.026 ms	0.169 ± 0.027 ms	1.01 ± 0.22
saxpy/default/Float64/32768	0.0687 ± 0.025 ms	0.0666 ± 0.025 ms	1.03 ± 0.55
saxpy/default/Float64/4096	0.0488 ± 0.024 ms	0.0476 ± 0.023 ms	1.03 ± 0.71
saxpy/default/Float64/512	0.0437 ± 0.029 ms	0.052 ± 0.029 ms	0.841 ± 0.73
saxpy/default/Float64/64	0.0417 ± 0.03 ms	0.0451 ± 0.029 ms	0.925 ± 0.89
saxpy/default/Float64/65536	0.0873 ± 0.026 ms	0.0853 ± 0.026 ms	1.02 ± 0.43
saxpy/static workgroup=(1024,)/Float32/1024	0.043 ± 0.029 ms	0.0487 ± 0.029 ms	0.884 ± 0.79
saxpy/static workgroup=(1024,)/Float32/1048576	0.454 ± 0.021 ms	0.45 ± 0.023 ms	1.01 ± 0.071
saxpy/static workgroup=(1024,)/Float32/16384	0.0534 ± 0.026 ms	0.0527 ± 0.025 ms	1.01 ± 0.69
saxpy/static workgroup=(1024,)/Float32/2048	0.0439 ± 0.026 ms	0.043 ± 0.026 ms	1.02 ± 0.87
saxpy/static workgroup=(1024,)/Float32/256	0.0447 ± 0.027 ms	0.0572 ± 0.027 ms	0.781 ± 0.6
saxpy/static workgroup=(1024,)/Float32/262144	0.157 ± 0.027 ms	0.153 ± 0.026 ms	1.02 ± 0.25
saxpy/static workgroup=(1024,)/Float32/32768	0.06 ± 0.026 ms	0.0572 ± 0.026 ms	1.05 ± 0.66
saxpy/static workgroup=(1024,)/Float32/4096	0.0469 ± 0.025 ms	0.046 ± 0.025 ms	1.02 ± 0.78
saxpy/static workgroup=(1024,)/Float32/512	0.0442 ± 0.028 ms	0.0582 ± 0.028 ms	0.758 ± 0.6
saxpy/static workgroup=(1024,)/Float32/64	0.0493 ± 0.026 ms	0.0536 ± 0.026 ms	0.919 ± 0.66
saxpy/static workgroup=(1024,)/Float32/65536	0.0739 ± 0.026 ms	0.0704 ± 0.025 ms	1.05 ± 0.53
saxpy/static workgroup=(1024,)/Float64/1024	0.0428 ± 0.028 ms	0.0454 ± 0.029 ms	0.943 ± 0.87
saxpy/static workgroup=(1024,)/Float64/1048576	0.57 ± 0.047 ms	0.523 ± 0.07 ms	1.09 ± 0.17
saxpy/static workgroup=(1024,)/Float64/16384	0.0544 ± 0.025 ms	0.0545 ± 0.026 ms	0.999 ± 0.66
saxpy/static workgroup=(1024,)/Float64/2048	0.044 ± 0.025 ms	0.0437 ± 0.026 ms	1.01 ± 0.84
saxpy/static workgroup=(1024,)/Float64/256	0.0432 ± 0.027 ms	0.0578 ± 0.027 ms	0.747 ± 0.58
saxpy/static workgroup=(1024,)/Float64/262144	0.165 ± 0.03 ms	0.166 ± 0.028 ms	0.993 ± 0.25
saxpy/static workgroup=(1024,)/Float64/32768	0.0629 ± 0.026 ms	0.0622 ± 0.025 ms	1.01 ± 0.59
saxpy/static workgroup=(1024,)/Float64/4096	0.0473 ± 0.025 ms	0.0461 ± 0.025 ms	1.03 ± 0.77
saxpy/static workgroup=(1024,)/Float64/512	0.0426 ± 0.028 ms	0.0574 ± 0.028 ms	0.741 ± 0.61
saxpy/static workgroup=(1024,)/Float64/64	0.0462 ± 0.028 ms	0.0602 ± 0.028 ms	0.767 ± 0.58
saxpy/static workgroup=(1024,)/Float64/65536	0.0858 ± 0.027 ms	0.0842 ± 0.027 ms	1.02 ± 0.46
time_to_load	1.34 ± 0.013 s	1.34 ± 0.01 s	1 ± 0.012

Benchmark Plots

A plot of the benchmark results have been uploaded as an artifact to the workflow run for this PR.
Go to "Actions"->"Benchmark a pull request"->[the most recent run]->"Artifacts" (at the bottom).

[maleadt]

should we also run some GPUArrays test to ensure that KA doesn't break things?

That would probably be smart, yeah. Maybe once the dust settles and JLArrays can use the new CPU back-end?