Ignore more packages in JET tests, lower inf failure limit

perf/Manifest.toml

@@ -2,7 +2,7 @@
 
 julia_version = "1.10.0"
 manifest_format = "2.0"
-project_hash = "f4c48efdb4bd69597601a8d0d01e26ff9df53b02"
+project_hash = "3c2a77c695622e90d7845846b4e4c54862493742"
 
 [[deps.ADTypes]]
 git-tree-sha1 = "41c37aa88889c171f1300ceac1313c06e891d245"

perf/Project.toml

@@ -5,6 +5,7 @@ AtmosphericProfilesLibrary = "86bc3604-9858-485a-bdbe-831ec50de11d"
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
 CLIMAParameters = "6eacf6c3-8458-43b9-ae03-caf5306d3d53"
+CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
 ClimaAnalysis = "29b5916a-a76c-4e73-9657-3c8fd22e65e6"
 ClimaAtmos = "b2c96348-7fb7-4fe0-8da9-78d88439e717"

perf/flame.jl

@@ -50,7 +50,7 @@ allocs_limit["flame_perf_target_threaded"] = 1_276_864
 allocs_limit["flame_perf_target_callbacks"] = 386_584
 allocs_limit["flame_perf_gw"] = 3_268_961_856
 allocs_limit["flame_perf_target_prognostic_edmfx_aquaplanet"] = 445_664
-allocs_limit["flame_gpu_implicit_barowave_moist"] = 4169216
+allocs_limit["flame_gpu_implicit_barowave_moist"] = 4178384
 # Ideally, we would like to track all the allocations, but this becomes too
 # expensive there is too many of them. Here, we set the default sample rate to
 # 1, but lower it to a smaller value when we expect the job to produce lots of

perf/jet.jl

@@ -1,5 +1,6 @@
 redirect_stderr(IOContext(stderr, :stacktrace_types_limited => Ref(false)))
 import Random
+import HDF5, NCDatasets, CUDA
 Random.seed!(1234)
 import ClimaAtmos as CA
 
@@ -15,4 +16,6 @@ import JET
 
 import SciMLBase
 SciMLBase.step!(integrator) # Make sure no errors
-JET.@test_opt SciMLBase.step!(integrator)
+JET.@test_opt ignored_modules = (HDF5, CUDA, NCDatasets) SciMLBase.step!(
+    integrator,
+)

perf/jet_report_nfailures.jl

@@ -1,10 +1,13 @@
 # This script assumes that `integrator` is defined.
 import JET
-import HDF5
+import HDF5, NCDatasets, CUDA
 # Suggested in: https://github.com/aviatesk/JET.jl/issues/455
 macro n_failures(ex)
     return :(
-        let result = JET.@report_opt ignored_modules = (HDF5,) $(ex)
+        let result =
+                JET.@report_opt ignored_modules = (HDF5, CUDA, NCDatasets) $(
+                    ex
+                )
             length(JET.get_reports(result.analyzer, result.result))
         end
     )

perf/jet_test_nfailures.jl

@@ -17,11 +17,14 @@ import JET
 import SciMLBase
 SciMLBase.step!(integrator) # Make sure no errors
 
-import HDF5
+import HDF5, NCDatasets, CUDA
 # Suggested in: https://github.com/aviatesk/JET.jl/issues/455
 macro n_failures(ex)
     return :(
-        let result = JET.@report_opt ignored_modules = (HDF5,) $(ex)
+        let result =
+                JET.@report_opt ignored_modules = (HDF5, NCDatasets, CUDA) $(
+                    ex
+                )
             length(JET.get_reports(result.analyzer, result.result))
         end
     )
@@ -35,7 +38,7 @@ using Test
     # inference. By increasing this counter, we acknowledge that
     # we have introduced an inference failure. We hope to drive
     # this number down to 0.
-    n_allowed_failures = 94
+    n_allowed_failures = 42
     @show n
     @test n ≤ n_allowed_failures
     if n < n_allowed_failures