"Unexpected internal error" caused by mapping over CuArray

I started experimenting with CUDA.jl yesterday and managed to produce an error with a simple example. The error message requested that I file an issue here. My apologies if this is caused by my doing something naive -- I'm just following orders! A minimal example that produces the error is this:

```
module MinimalFailure

using CUDA

function badfunc!(i::Int, results::CuArray{Float32,1})
results[i] = 0.0f0
return
end

n=1024
data = CuArray{Float32,1}(undef,n)
idcs = CuArray(collect(1:n))
map(i -> badfunc!(i,data), idcs)

end
```

The resulting error message, system info and backtrace are below:

```
WARNING: replacing module MinimalFailure.
ERROR: LoadError: GPUCompiler.jl encountered an unexpected internal error.
Please file an issue attaching the following information, including the backtrace,
as well as a reproducible example (if possible).

InternalCompilerError: length(frames) == 1, at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/validation.jl:246

Compiler invocation: PTX CompilerJob of kernel broadcast_kernel(CUDA.CuKernelContext, CuDeviceArray{Nothing,1,1}, Base.Broadcast.Broadcasted{Nothing,Tuple{Base.OneTo{Int64}},Main.MinimalFailure.var"#1#2",Tuple{Base.Broadcast.Extruded{CuDeviceArray{Int64,1,1},Tuple{Bool},Tuple{Int64}}}}, Int64) for sm_61

Additional information:
- frames = svec(svec(:jl_symbol_name_, Symbol("/buildworker/worker/package_linux64/build/src/julia.h"), 970, nothing, true, true), svec(:jl_symbol_name, Symbol("/buildworker/worker/package_linux64/build/src/rtutils.c"), 333, nothing, true, false))

Installed packages:
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Julia Version 1.5.3
Commit 788b2c77c1 (2020-11-09 13:37 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i7-6900K CPU @ 3.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, broadwell)

Stacktrace:
[1] check_ir!(::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget,CUDA.CUDACompilerParams}, ::Array{Tuple{String,Array{Base.StackTraces.StackFrame,1},Any},1}, ::LLVM.CallInst) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/validation.jl:246
[2] check_ir!(::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget,CUDA.CUDACompilerParams}, ::Array{Tuple{String,Array{Base.StackTraces.StackFrame,1},Any},1}, ::LLVM.Function) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/validation.jl:140
[3] check_ir!(::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget,CUDA.CUDACompilerParams}, ::Array{Tuple{String,Array{Base.StackTraces.StackFrame,1},Any},1}, ::LLVM.Module) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/validation.jl:131
[4] check_ir(::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget,CUDA.CUDACompilerParams}, ::LLVM.Module) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/validation.jl:120
[5] macro expansion at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/driver.jl:239 [inlined]
[6] macro expansion at /home/dahlbom/.julia/packages/TimerOutputs/4QAIk/src/TimerOutput.jl:206 [inlined]
[7] codegen(::Symbol, ::GPUCompiler.CompilerJob; libraries::Bool, deferred_codegen::Bool, optimize::Bool, strip::Bool, validate::Bool, only_entry::Bool) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/driver.jl:237
[8] compile(::Symbol, ::GPUCompiler.CompilerJob; libraries::Bool, deferred_codegen::Bool, optimize::Bool, strip::Bool, validate::Bool, only_entry::Bool) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/driver.jl:39
[9] compile at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/driver.jl:35 [inlined]
[10] cufunction_compile(::GPUCompiler.FunctionSpec; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/compiler/execution.jl:302
[11] cufunction_compile(::GPUCompiler.FunctionSpec) at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/compiler/execution.jl:297
[12] check_cache(::Dict{UInt64,Any}, ::Any, ::Any, ::GPUCompiler.FunctionSpec{GPUArrays.var"#broadcast_kernel#14",Tuple{CUDA.CuKernelContext,CuDeviceArray{Nothing,1,1},Base.Broadcast.Broadcasted{Nothing,Tuple{Base.OneTo{Int64}},Main.MinimalFailure.var"#1#2",Tuple{Base.Broadcast.Extruded{CuDeviceArray{Int64,1,1},Tuple{Bool},Tuple{Int64}}}},Int64}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/cache.jl:40
[13] broadcast_kernel at /home/dahlbom/.julia/packages/GPUArrays/bjw3g/src/host/broadcast.jl:57 [inlined]
[14] cached_compilation at /home/dahlbom/.julia/packages/GPUCompiler/uTpNx/src/cache.jl:65 [inlined]
[15] cufunction(::GPUArrays.var"#broadcast_kernel#14", ::Type{Tuple{CUDA.CuKernelContext,CuDeviceArray{Nothing,1,1},Base.Broadcast.Broadcasted{Nothing,Tuple{Base.OneTo{Int64}},Main.MinimalFailure.var"#1#2",Tuple{Base.Broadcast.Extruded{CuDeviceArray{Int64,1,1},Tuple{Bool},Tuple{Int64}}}},Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/compiler/execution.jl:289
[16] cufunction at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/compiler/execution.jl:286 [inlined]
[17] macro expansion at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/compiler/execution.jl:100 [inlined]
[18] #launch_heuristic#857 at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/gpuarrays.jl:17 [inlined]
[19] launch_heuristic at /home/dahlbom/.julia/packages/CUDA/wTQsK/src/gpuarrays.jl:17 [inlined]
[20] copyto! at /home/dahlbom/.julia/packages/GPUArrays/bjw3g/src/host/broadcast.jl:63 [inlined]
[21] copyto! at ./broadcast.jl:886 [inlined]
[22] copy at /home/dahlbom/.julia/packages/GPUArrays/bjw3g/src/host/broadcast.jl:47 [inlined]
[23] materialize(::Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Nothing,Main.MinimalFailure.var"#1#2",Tuple{CuArray{Int64,1}}}) at ./broadcast.jl:837
[24] map(::Function, ::CuArray{Int64,1}) at /home/dahlbom/.julia/packages/GPUArrays/bjw3g/src/host/broadcast.jl:86
[25] top-level scope at /home/dahlbom/research/jcuda/MinimalFailure.jl:13
[26] include(::String) at ./client.jl:457
[27] top-level scope at REPL[4]:1
in expression starting at /home/dahlbom/research/jcuda/MinimalFailure.jl:13

```

Reproduce the minimal map-over-CuArray example using the reported CUDA v2.4.1 and GPUCompiler v0.8.3 context. Start by inspecting GPUCompiler's validation.jl at line 246 and the reported PTX compiler invocation; done means this input no longer produces an unexpected internal compiler error.

Written by the indexing model from the issue text.