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# This file is a part of Julia. License is MIT: https://julialang.org/license | ||
# RUN: export JULIA_LLVM_ARGS="--print-before=loop-vectorize --print-module-scope" | ||
# RUN: rm -rf %t | ||
# RUN: mkdir %t | ||
# RUN: julia --image-codegen --startup-file=no %s 2> %t/output.txt | ||
# RUN: FileCheck %s < %t/output.txt | ||
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# COM: checks that global variables compiled in imaging codegen | ||
# COM: are marked as external and not internal | ||
# COM: Also makes sure that --imaging-codegen doesn't crash | ||
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# CHECK: *** IR Dump Before | ||
# CHECK-NOT: internal global | ||
# CHECK-NOT: private global | ||
# CHECK: jl_global | ||
# CHECK-SAME: = global | ||
# CHECK: julia_f_ | ||
# CHECK-NOT: internal global | ||
# CHECK-NOT: private global | ||
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f() = "abcd" | ||
f() |
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@nanosoldier
runbenchmarks("array" || "inference", vs="@78fbf1bd74ded2a8a830f9f4b35c98666f2a7e16")
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Your benchmark job has completed - possible performance regressions were detected. A full report can be found here.