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parallel.jl
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# This file is a part of Julia. License is MIT: http://julialang.org/license
# NOTE: worker processes cannot add more workers, only the client process can.
using Base.Test
if nworkers() < 3
remotecall_fetch(1, () -> addprocs(3 - nworkers()))
end
id_me = myid()
id_other = filter(x -> x != id_me, procs())[rand(1:(nprocs()-1))]
@test fetch(@spawnat id_other myid()) == id_other
@test @fetchfrom id_other begin myid() end == id_other
@fetch begin myid() end
rr=RemoteRef()
@test typeof(rr) == RemoteRef{Channel{Any}}
a = rand(5,5)
put!(rr, a)
@test rr[2,3] == a[2,3]
@test rr[] == a
rr=RemoteRef(workers()[1])
@test typeof(rr) == RemoteRef{Channel{Any}}
a = rand(5,5)
put!(rr, a)
@test rr[1,5] == a[1,5]
@test rr[] == a
dims = (20,20,20)
@linux_only begin
S = SharedArray(Int64, dims)
@test startswith(S.segname, "/jl")
@test !ispath("/dev/shm" * S.segname)
S = SharedArray(Int64, dims; pids=[id_other])
@test startswith(S.segname, "/jl")
@test !ispath("/dev/shm" * S.segname)
end
# TODO : Need a similar test of shmem cleanup for OSX
##### SharedArray tests
function check_pids_all(S::SharedArray)
pidtested = falses(size(S))
for p in procs(S)
idxes_in_p = remotecall_fetch(p, D -> parentindexes(D.loc_subarr_1d)[1], S)
@test all(sdata(S)[idxes_in_p] .== p)
pidtested[idxes_in_p] = true
end
@test all(pidtested)
end
d = Base.shmem_rand(1:100, dims)
a = convert(Array, d)
partsums = Array(Int, length(procs(d)))
@sync begin
for (i, p) in enumerate(procs(d))
@async partsums[i] = remotecall_fetch(p, D->sum(D.loc_subarr_1d), d)
end
end
@test sum(a) == sum(partsums)
d = Base.shmem_rand(dims)
for p in procs(d)
idxes_in_p = remotecall_fetch(p, D -> parentindexes(D.loc_subarr_1d)[1], d)
idxf = first(idxes_in_p)
idxl = last(idxes_in_p)
d[idxf] = Float64(idxf)
rv = remotecall_fetch(p, (D,idxf,idxl) -> begin assert(D[idxf] == Float64(idxf)); D[idxl] = Float64(idxl); D[idxl]; end, d,idxf,idxl)
@test d[idxl] == rv
end
@test ones(10, 10, 10) == Base.shmem_fill(1.0, (10,10,10))
@test zeros(Int32, 10, 10, 10) == Base.shmem_fill(0, (10,10,10))
d = Base.shmem_rand(dims)
s = Base.shmem_rand(dims)
copy!(s, d)
@test s == d
s = Base.shmem_rand(dims)
copy!(s, sdata(d))
@test s == d
a = rand(dims)
@test sdata(a) == a
d = SharedArray(Int, dims; init = D->fill!(D.loc_subarr_1d, myid()))
for p in procs(d)
idxes_in_p = remotecall_fetch(p, D -> parentindexes(D.loc_subarr_1d)[1], d)
idxf = first(idxes_in_p)
idxl = last(idxes_in_p)
@test d[idxf] == p
@test d[idxl] == p
end
d = SharedArray(Float64, (2,3))
@test isa(d[:,2], Vector{Float64})
### SharedArrays from a file
# Mapping an existing file
fn = tempname()
open(fn, "w") do io
write(io, 1:30)
end
sz = (6,5)
Atrue = reshape(1:30, sz)
S = SharedArray(fn, Int, sz)
@test S == Atrue
@test length(procs(S)) > 1
@sync begin
for p in procs(S)
@async remotecall_wait(p, D->fill!(D.loc_subarr_1d, myid()), S)
end
end
check_pids_all(S)
filedata = similar(Atrue)
open(fn, "r") do io
read!(io, filedata)
end
@test filedata == sdata(S)
# Error for write-only files
@test_throws ArgumentError SharedArray(fn, Int, sz, mode="w")
# Error for file doesn't exist, but not allowed to create
@test_throws ArgumentError SharedArray(tempname(), Int, sz, mode="r")
# Creating a new file
fn2 = tempname()
S = SharedArray(fn2, Int, sz, init=D->D[localindexes(D)] = myid())
@test S == filedata
filedata2 = similar(Atrue)
open(fn2, "r") do io
read!(io, filedata2)
end
@test filedata == filedata2
# Appending to a file
fn3 = tempname()
open(fn3, "w") do io
write(io, ones(UInt8, 4))
end
S = SharedArray(fn3, UInt8, sz, 4, mode="a+", init=D->D[localindexes(D)]=0x02)
len = prod(sz)+4
@test filesize(fn3) == len
filedata = Array(UInt8, len)
open(fn3, "r") do io
read!(io, filedata)
end
@test all(filedata[1:4] .== 0x01)
@test all(filedata[5:end] .== 0x02)
@unix_only begin # these give unlink: operation not permitted (EPERM) on Windows
rm(fn); rm(fn2); rm(fn3)
end
### Utility functions
# reshape
d = Base.shmem_fill(1.0, (10,10,10))
@test ones(100, 10) == reshape(d,(100,10))
d = Base.shmem_fill(1.0, (10,10,10))
@test_throws DimensionMismatch reshape(d,(50,))
# rand, randn
d = Base.shmem_rand(dims)
@test size(rand!(d)) == dims
d = Base.shmem_fill(1.0, dims)
@test size(randn!(d)) == dims
# similar
d = Base.shmem_rand(dims)
@test size(similar(d, Complex128)) == dims
@test size(similar(d, dims)) == dims
# issue #6362
d = Base.shmem_rand(dims)
s = copy(sdata(d))
ds = deepcopy(d)
@test ds == d
pids_d = procs(d)
remotecall_fetch(pids_d[findfirst(id->(id != myid()), pids_d)], setindex!, d, 1.0, 1:10)
@test ds != d
@test s != d
# SharedArray as an array
# Since the data in d will depend on the nprocs, just test that these operations work
a = d[1:5]
@test_throws BoundsError d[-1:5]
a = d[1,1,1:3:end]
d[2:4] = 7
d[5,1:2:4,8] = 19
AA = rand(4,2)
A = convert(SharedArray, AA)
B = convert(SharedArray, AA')
@test B*A == ctranspose(AA)*AA
d=SharedArray(Int64, (10,10); init = D->fill!(D.loc_subarr_1d, myid()), pids=[id_me, id_other])
d2 = map(x->1, d)
@test reduce(+, d2) == 100
@test reduce(+, d) == ((50*id_me) + (50*id_other))
map!(x->1, d)
@test reduce(+, d) == 100
@test fill!(d, 1) == ones(10, 10)
@test fill!(d, 2.) == fill(2, 10, 10)
@test d[:] == fill(2, 100)
@test d[:,1] == fill(2, 10)
@test d[1,:] == fill(2, 1, 10)
# Boundary cases where length(S) <= length(pids)
@test 2.0 == remotecall_fetch(id_other, D->D[2], Base.shmem_fill(2.0, 2; pids=[id_me, id_other]))
@test 3.0 == remotecall_fetch(id_other, D->D[1], Base.shmem_fill(3.0, 1; pids=[id_me, id_other]))
# Test @parallel load balancing - all processors should get either M or M+1
# iterations out of the loop range for some M.
workloads = hist(@parallel((a,b)->[a;b], for i=1:7; myid(); end), nprocs())[2]
@test maximum(workloads) - minimum(workloads) <= 1
# @parallel reduction should work even with very short ranges
@test @parallel(+, for i=1:2; i; end) == 3
# Testing timedwait on multiple channels
@sync begin
rr1 = Channel()
rr2 = Channel()
rr3 = Channel()
@async begin sleep(0.5); put!(rr1, :ok) end
@async begin sleep(1.0); put!(rr2, :ok) end
@async begin sleep(2.0); put!(rr3, :ok) end
tic()
timedwait(1.0) do
all(map(isready, [rr1, rr2, rr3]))
end
et=toq()
# assuming that 0.5 seconds is a good enough buffer on a typical modern CPU
try
@test (et >= 1.0) && (et <= 1.5)
@test !isready(rr3)
catch
warn("timedwait tests delayed. et=$et, isready(rr3)=$(isready(rr3))")
end
@test isready(rr1)
end
@test_throws ArgumentError sleep(-1)
@test_throws ArgumentError timedwait(()->false, 0.1, pollint=-0.5)
# specify pids for pmap
@test sort(workers()[1:2]) == sort(unique(pmap(x->(sleep(0.1);myid()), 1:10, pids = workers()[1:2])))
# Testing buffered and unbuffered reads
# This large array should write directly to the socket
a = ones(10^6)
@test a == remotecall_fetch(id_other, (x)->x, a)
# Not a bitstype, should be buffered
s = [randstring() for x in 1:10^5]
@test s == remotecall_fetch(id_other, (x)->x, s)
#large number of small requests
num_small_requests = 10000
@test fill(id_other, num_small_requests) == [remotecall_fetch(id_other, myid) for i in 1:num_small_requests]
# test parallel sends of large arrays from multiple tasks to the same remote worker
ntasks = 10
rr_list = [Channel() for x in 1:ntasks]
a=ones(2*10^5);
for rr in rr_list
@async let rr=rr
try
for i in 1:10
@test a == remotecall_fetch(id_other, (x)->x, a)
yield()
end
put!(rr, :OK)
catch
put!(rr, :ERROR)
end
end
end
@test [fetch(rr) for rr in rr_list] == [:OK for x in 1:ntasks]
function test_channel(c)
put!(c, 1)
put!(c, "Hello")
put!(c, 5.0)
@test isready(c) == true
@test fetch(c) == 1
@test fetch(c) == 1 # Should not have been popped previously
@test take!(c) == 1
@test take!(c) == "Hello"
@test fetch(c) == 5.0
@test take!(c) == 5.0
@test isready(c) == false
close(c)
end
test_channel(Channel(10))
test_channel(RemoteRef(()->Channel(10)))
c=Channel{Int}(1)
@test_throws MethodError put!(c, "Hello")
c=Channel(256)
# Test growth of channel
@test c.szp1 <= 33
for x in 1:40
put!(c, x)
end
@test c.szp1 <= 65
for x in 1:39
take!(c)
end
for x in 1:64
put!(c, x)
end
@test (c.szp1 > 65) && (c.szp1 <= 129)
for x in 1:39
take!(c)
end
@test fetch(c) == 39
for x in 1:26
take!(c)
end
@test isready(c) == false
# test channel iterations
function test_iteration(in_c, out_c)
t=@schedule for v in in_c
put!(out_c, v)
end
isa(in_c, Channel) && @test isopen(in_c) == true
put!(in_c, 1)
@test take!(out_c) == 1
put!(in_c, "Hello")
close(in_c)
@test take!(out_c) == "Hello"
isa(in_c, Channel) && @test isopen(in_c) == false
@test_throws InvalidStateException put!(in_c, :foo)
yield()
@test istaskdone(t) == true
end
test_iteration(Channel(10), Channel(10))
# make sure exceptions propagate when waiting on Tasks
@test_throws CompositeException (@sync (@async error("oops")))
try
@sync begin
for i in 1:5
@async error(i)
end
end
catch ex
@test typeof(ex) == CompositeException
@test length(ex) == 5
@test typeof(ex.exceptions[1]) == CapturedException
@test typeof(ex.exceptions[1].ex) == ErrorException
errors = map(x->x.ex.msg, ex.exceptions)
@test collect(1:5) == sort(map(x->parse(Int, x), errors))
end
try
remotecall_fetch(id_other, ()->throw(ErrorException("foobar")))
catch ex
@test typeof(ex) == RemoteException
@test typeof(ex.captured) == CapturedException
@test typeof(ex.captured.ex) == ErrorException
@test ex.captured.ex.msg == "foobar"
end
# The below block of tests are usually run only on local development systems, since:
# - tests which print errors
# - addprocs tests are memory intensive
# - ssh addprocs requires sshd to be running locally with passwordless login enabled.
# The test block is enabled by defining env JULIA_TESTFULL=1
DoFullTest = Bool(parse(Int,(get(ENV, "JULIA_TESTFULL", "0"))))
if DoFullTest
# pmap tests
# needs at least 4 processors dedicated to the below tests
ppids = remotecall_fetch(1, ()->addprocs(4))
s = "abcdefghijklmnopqrstuvwxyz";
ups = uppercase(s);
@test ups == bytestring(UInt8[UInt8(c) for c in pmap(x->uppercase(x), s)])
@test ups == bytestring(UInt8[UInt8(c) for c in pmap(x->uppercase(Char(x)), s.data)])
# retry, on error exit
res = pmap(x->(x=='a') ? error("EXPECTED TEST ERROR. TO BE IGNORED.") : (sleep(0.1);uppercase(x)), s; err_retry=true, err_stop=true, pids=ppids);
@test (length(res) < length(ups))
@test isa(res[1], Exception)
# no retry, on error exit
res = pmap(x->(x=='a') ? error("EXPECTED TEST ERROR. TO BE IGNORED.") : (sleep(0.1);uppercase(x)), s; err_retry=false, err_stop=true, pids=ppids);
@test (length(res) < length(ups))
@test isa(res[1], Exception)
# retry, on error continue
res = pmap(x->iseven(myid()) ? error("EXPECTED TEST ERROR. TO BE IGNORED.") : (sleep(0.1);uppercase(x)), s; err_retry=true, err_stop=false, pids=ppids);
@test length(res) == length(ups)
@test ups == bytestring(UInt8[UInt8(c) for c in res])
# no retry, on error continue
res = pmap(x->(x=='a') ? error("EXPECTED TEST ERROR. TO BE IGNORED.") : (sleep(0.1);uppercase(x)), s; err_retry=false, err_stop=false, pids=ppids);
@test length(res) == length(ups)
@test isa(res[1], Exception)
# Topology tests need to run externally since a given cluster at any
# time can only support a single topology and the current session
# is already running in parallel under the default topology.
script = joinpath(dirname(@__FILE__), "topology.jl")
cmd = `$(joinpath(JULIA_HOME,Base.julia_exename())) $script`
(strm, proc) = open(cmd)
wait(proc)
if !success(proc) && ccall(:jl_running_on_valgrind,Cint,()) == 0
println(readall(strm))
error("Topology tests failed : $cmd")
end
println("Testing exception printing on remote worker from a `remote_do` call")
println("Please ensure the remote error and backtrace is displayed on screen")
Base.remote_do(id_other, ()->throw(ErrorException("TESTING EXCEPTION ON REMOTE DO. PLEASE IGNORE")))
sleep(0.5) # Give some time for the above error to be printed
@unix_only begin
function test_n_remove_pids(new_pids)
for p in new_pids
w_in_remote = sort(remotecall_fetch(p, workers))
try
@test intersect(new_pids, w_in_remote) == new_pids
catch e
print("p : $p\n")
print("newpids : $new_pids\n")
print("w_in_remote : $w_in_remote\n")
print("intersect : $(intersect(new_pids, w_in_remote))\n\n\n")
rethrow(e)
end
end
@test :ok == remotecall_fetch(1, (p)->rmprocs(p; waitfor=5.0), new_pids)
end
print("\n\nTesting SSHManager. A minimum of 4GB of RAM is recommended.\n")
print("Please ensure sshd is running locally with passwordless login enabled.\n")
sshflags = `-o UserKnownHostsFile=/dev/null -o StrictHostKeyChecking=no -o LogLevel=ERROR `
#Issue #9951
hosts=[]
localhost_aliases = ["localhost", string(getipaddr()), "127.0.0.1"]
num_workers = parse(Int,(get(ENV, "JULIA_ADDPROCS_NUM", "9")))
for i in 1:(num_workers/length(localhost_aliases))
append!(hosts, localhost_aliases)
end
print("\nTesting SSH addprocs with $(length(hosts)) workers...\n")
new_pids = remotecall_fetch(1, (h, sf) -> addprocs(h; sshflags=sf), hosts, sshflags)
@test length(new_pids) == length(hosts)
test_n_remove_pids(new_pids)
print("\nMixed ssh addprocs with :auto\n")
new_pids = sort(remotecall_fetch(1, (h, sf) -> addprocs(h; sshflags=sf), ["localhost", ("127.0.0.1", :auto), "localhost"], sshflags))
@test length(new_pids) == (2 + Sys.CPU_CORES)
test_n_remove_pids(new_pids)
print("\nMixed ssh addprocs with numeric counts\n")
new_pids = sort(remotecall_fetch(1, (h, sf) -> addprocs(h; sshflags=sf), [("localhost", 2), ("127.0.0.1", 2), "localhost"], sshflags))
@test length(new_pids) == 5
test_n_remove_pids(new_pids)
print("\nssh addprocs with tunnel\n")
new_pids = sort(remotecall_fetch(1, (h, sf) -> addprocs(h; tunnel=true, sshflags=sf), [("localhost", num_workers)], sshflags))
@test length(new_pids) == num_workers
test_n_remove_pids(new_pids)
end
end
# issue #7727
let A = [], B = []
t = @task produce(11)
@sync begin
@async for x in t; push!(A,x); end
@async for x in t; push!(B,x); end
end
@test (A == [11]) != (B == [11])
end
let t = @task 42
schedule(t, ErrorException(""), error=true)
@test_throws ErrorException wait(t)
end
# issue #8207
let A = Any[]
@parallel (+) for i in (push!(A,1); 1:2)
i
end
@test length(A) == 1
end