Restore Enzyme to CI checks

[wsmoses]

now that @vchuravy fixed the GPUCompiler compat

[github-actions]

CUDA.jl Benchmarks

Benchmark suite	Current: 4a5ad9f	Previous: e561e7a	Ratio
latency/precompile	42949872022 ns	43393378645 ns	0.99
latency/ttfp	7007270652 ns	7099882121 ns	0.99
latency/import	3556038541 ns	3463869374 ns	1.03
integration/volumerhs	9623878 ns	9623663 ns	1.00
integration/byval/slices=1	147077 ns	146714 ns	1.00
integration/byval/slices=3	425971 ns	425787 ns	1.00
integration/byval/reference	145029 ns	144967 ns	1.00
integration/byval/slices=2	286425 ns	286209 ns	1.00
integration/cudadevrt	103641 ns	103426 ns	1.00
kernel/indexing	14335 ns	14196 ns	1.01
kernel/indexing_checked	15084 ns	14906 ns	1.01
kernel/occupancy	679.9367088607595 ns	759.2189781021898 ns	0.90
kernel/launch	2230.777777777778 ns	2287.222222222222 ns	0.98
kernel/rand	17571 ns	15792 ns	1.11
array/reverse/1d	19881 ns	19624 ns	1.01
array/reverse/2d	24935 ns	24928.5 ns	1.00
array/reverse/1d_inplace	10490 ns	10448 ns	1.00
array/reverse/2d_inplace	12111 ns	12006 ns	1.01
array/copy	20961 ns	20990 ns	1.00
array/iteration/findall/int	157070.5 ns	159128.5 ns	0.99
array/iteration/findall/bool	139341 ns	139832 ns	1.00
array/iteration/findfirst/int	163593 ns	162546 ns	1.01
array/iteration/findfirst/bool	165265.5 ns	164393.5 ns	1.01
array/iteration/scalar	72886 ns	72740 ns	1.00
array/iteration/logical	214856.5 ns	216803.5 ns	0.99
array/iteration/findmin/1d	46833 ns	45968 ns	1.02
array/iteration/findmin/2d	96796 ns	96433 ns	1.00
array/reductions/reduce/Int64/1d	43460.5 ns	44555 ns	0.98
array/reductions/reduce/Int64/dims=1	46894.5 ns	48607 ns	0.96
array/reductions/reduce/Int64/dims=2	62535 ns	63682.5 ns	0.98
array/reductions/reduce/Int64/dims=1L	89033 ns	88842 ns	1.00
array/reductions/reduce/Int64/dims=2L	87389 ns	89417.5 ns	0.98
array/reductions/reduce/Float32/1d	34666 ns	34490 ns	1.01
array/reductions/reduce/Float32/dims=1	52166 ns	50554 ns	1.03
array/reductions/reduce/Float32/dims=2	59849 ns	59726 ns	1.00
array/reductions/reduce/Float32/dims=1L	52488 ns	52852 ns	0.99
array/reductions/reduce/Float32/dims=2L	70560.5 ns	70052.5 ns	1.01
array/reductions/mapreduce/Int64/1d	42556 ns	45547 ns	0.93
array/reductions/mapreduce/Int64/dims=1	48064 ns	48423.5 ns	0.99
array/reductions/mapreduce/Int64/dims=2	61700 ns	61443 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	89055 ns	88888 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	86922 ns	87908.5 ns	0.99
array/reductions/mapreduce/Float32/1d	34465 ns	34245.5 ns	1.01
array/reductions/mapreduce/Float32/dims=1	45310 ns	47287 ns	0.96
array/reductions/mapreduce/Float32/dims=2	59818 ns	59743 ns	1.00
array/reductions/mapreduce/Float32/dims=1L	52523 ns	53154 ns	0.99
array/reductions/mapreduce/Float32/dims=2L	70441 ns	70503 ns	1.00
array/broadcast	20258 ns	20866 ns	0.97
array/copyto!/gpu_to_gpu	11249 ns	12817 ns	0.88
array/copyto!/cpu_to_gpu	215491 ns	213873 ns	1.01
array/copyto!/gpu_to_cpu	283978 ns	284406 ns	1.00
array/accumulate/Int64/1d	125006.5 ns	125170 ns	1.00
array/accumulate/Int64/dims=1	83808 ns	83519 ns	1.00
array/accumulate/Int64/dims=2	158398 ns	158002 ns	1.00
array/accumulate/Int64/dims=1L	1712912.5 ns	1709945.5 ns	1.00
array/accumulate/Int64/dims=2L	967148 ns	966571 ns	1.00
array/accumulate/Float32/1d	109589.5 ns	109737 ns	1.00
array/accumulate/Float32/dims=1	80543 ns	80823.5 ns	1.00
array/accumulate/Float32/dims=2	147782.5 ns	147778 ns	1.00
array/accumulate/Float32/dims=1L	1618526 ns	1619194 ns	1.00
array/accumulate/Float32/dims=2L	698403 ns	698530 ns	1.00
array/construct	1272.3 ns	1279.85 ns	0.99
array/random/randn/Float32	43990 ns	47253.5 ns	0.93
array/random/randn!/Float32	25036 ns	24573 ns	1.02
array/random/rand!/Int64	27605.5 ns	27294 ns	1.01
array/random/rand!/Float32	8638.333333333334 ns	8724.333333333334 ns	0.99
array/random/rand/Int64	38206 ns	29633 ns	1.29
array/random/rand/Float32	13036 ns	12902 ns	1.01
array/permutedims/4d	60332.5 ns	61250.5 ns	0.99
array/permutedims/2d	54169.5 ns	54865 ns	0.99
array/permutedims/3d	55013 ns	55511 ns	0.99
array/sorting/1d	2758455 ns	2757710 ns	1.00
array/sorting/by	3345066 ns	3344132.5 ns	1.00
array/sorting/2d	1080402 ns	1080389 ns	1.00
cuda/synchronization/stream/auto	1027.5 ns	1015.8333333333334 ns	1.01
cuda/synchronization/stream/nonblocking	7395.4 ns	7618.9 ns	0.97
cuda/synchronization/stream/blocking	811.233695652174 ns	799.1530612244898 ns	1.02
cuda/synchronization/context/auto	1162.6 ns	1164.1 ns	1.00
cuda/synchronization/context/nonblocking	7478.4 ns	7651.4 ns	0.98
cuda/synchronization/context/blocking	894.7142857142857 ns	895.8490566037735 ns	1.00

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

[maleadt]

Enzyme CI fails.

[wsmoses]

@vchuravy looks like your fix missed the tape_type function?

extensions/enzyme: Error During Test at /var/lib/buildkite-agent/builds/gpuci-3/julialang/cuda-dot-jl/test/extensions/enzyme.jl:51
--
  | Got exception outside of a @test
  | UndefVarError: `codegen` not defined in `Enzyme.Compiler`
  | Stacktrace:
  | [1] #91
  | @ ~/.cache/julia-buildkite-plugin/depots/3cc01fab-3357-4a7a-9294-cde2d3115a97/dev/Enzyme/src/Enzyme.jl:1311
  | [2] #JuliaContext#152
  | @ ~/.cache/julia-buildkite-plugin/depots/3cc01fab-3357-4a7a-9294-cde2d3115a97/packages/GPUCompiler/Ecaql/src/driver.jl:34
  | [3] JuliaContext
  | @ ~/.cache/julia-buildkite-plugin/depots/3cc01fab-3357-4a7a-9294-cde2d3115a97/packages/GPUCompiler/Ecaql/src/driver.jl:25 [inlined]
  | [4] tape_type
  | @ ~/.cache/julia-buildkite-plugin/depots/3cc01fab-3357-4a7a-9294-cde2d3115a97/dev/Enzyme/src/Enzyme.jl:1310 [inlined]