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## Copyright (C) 2015-2020 Olaf Till <i7tiol@t-online.de>
##
## This program is free software; you can redistribute it and/or modify it under
## the terms of the GNU General Public License as published by the Free Software
## Foundation; either version 3 of the License, or (at your option) any later
## version.
##
## This program is distributed in the hope that it will be useful, but WITHOUT
## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
## details.
##
## You should have received a copy of the GNU General Public License along with
## this program; if not, see <http://www.gnu.org/licenses/>.
## -*- texinfo -*-
## @deftypefn{Function File} {} netcellfun_worker (@var{in_arrays} @var{connections}, @var{fun}, @dots{})
##
## Undocumented internal function.
##
## @end deftypefn
function varargout = netcellfun_worker (in_arrays, conns, func, varargin)
fname = ifelse (in_arrays, "netarrayfun", "netcellfun");
## nargin () >= 4 has been assured by caller (netcellfun or netarrayfun)
if (! isa (conns, "pconnections"))
error ("%s: `connections' must be a parallel connections object", fname);
endif
info = network_get_info (conns);
## delete local machine, if present, from connections and from info
server_idx = ! [info.local_machine];
conns = conns(server_idx);
info = info(server_idx);
if ((nhosts = numel (conns)) == 0)
error ("%s: connections object contains no servers", fname);
endif
nout = nargout ();
## options are similar to for parcellfun/pararrayfun
[nargs, uniform_output, error_handler, verbose_level, ...
~, cumfunc, vectorized, chunk_size] = parcellfun_opts (fname, varargin);
accumulate = ifelse (isempty (cumfunc), false, true);
args = varargin(1:nargs);
if (nargs > 1)
[err, args{:}] = common_size (args{:});
if (err)
error ("%s: arguments size must match", fname);
endif
endif
argdims = size (args{1});
args_are_columns = iscolumn (args{1});
if (! args_are_columns)
args = cellfun (@ (x) x(:), args, "UniformOutput", false);
endif
## configured or default number of processes at each machine
rnproc = ifelse ([info.nlocaljobs] == 0, [info.nproc], [info.nlocaljobs]);
## number of jobs per call at each machine
rnjobs = rnproc * chunk_size;
## The anonymous functions for remote function calls had to be defined
## without using "varargin", since (up to Octave 4.0.0 at least)
## anonymous functions with varargin were not saved/loaded
## (sent/received) correctly.
if (any (rnjobs == 1))
## There will be (some) single function calls (without parallelity
## within one machine and not via cellfun). Prepare function for
## single function calls. See below why the 'eh' argument is
## necessary.
if (isempty (error_handler))
if (in_arrays)
single_func = @ (idx, eh, varargs) func (varargs{:});
else
single_func = @ (idx, eh, varargs) func (vertcat (varargs{:}){:});
endif
else
if (in_arrays)
single_func = @ (idx, eh, varargs) __netcellfun_guardfun__ ...
(func, error_handler, idx, varargs{:});
else
single_func = @ (idx, eh, varargs) __netcellfun_guardfun__ ...
(func, error_handler, idx, vertcat (varargs{:}){:});
endif
endif
endif
## (For function calls via parcell/arrayfun, the possibly specified
## error handler must be wrapped to add a base to errs.index.)
## construct function calls specific to each server
funs = cell (nhosts, 1);
## this caused some difficulties (4.0.0) with visibility of private functions
## rem_parfun = ifelse (in_arrays, @ pararrayfun, @ parcellfun);
rem_parfun = ifelse (in_arrays, "pararrayfun", "parcellfun");
## (number of argument sets in remote call will be rnproc *
## chunk_size, while ChunksPerProc will be 1)
for (id = 1:nhosts)
if (rnjobs(id) == 1)
funs{id} = single_func;
else
## If (rnproc(id) == 1), this will lead to a single call of
## cellfun via parcell/arrayfun. This case could be treated more
## efficiently. But then we'd have to care for CumFunc here.
## We use eval() to shorten the logic, since a function handle for
## rem_parfun did not work (see comment above). See next comment
## for why the second argument 'eh' is necessary.
if (isempty (error_handler))
eval (sprintf ("funs{id} = @ (idx, eh, varargs) %s \
(rnproc(id), func, varargs{:}, \
'ChunksPerProc', 1, \
'UniformOutput', false, \
'Vectorized', vectorized, \
'CumFunc', cumfunc, \
'ErrorHandler', eh);", ...
rem_parfun));
else
## The eval() with explicitely named anonymous function
## arguments is necessary due to the above mentioned issue with
## save/loading anonymous functions with varargin. Also, Octave
## doesn't seem to save the context of an anonymous function
## defined within another anonymous function -- it doesn't save
## the original error handler within the defined error handler
## wrapper; for this reason, the error handler has to be passed
## as an additional (second) argument to the funcion funs{id},
## an argument which could be dropped otherwise.
arg_list = sprintf (", _%i", 1:nargs);
eval (sprintf ("funs{id} = @ (idx, eh, varargs) %s \
(rnproc(id), func, varargs{:}, \
'ChunksPerProc', 1, \
'UniformOutput', false, \
'Vectorized', vectorized, \
'CumFunc', cumfunc, \
'ErrorHandler', \
@ (err %s) eh \
(setfield (err, 'index', idx(err.index)) \
%s));",
rem_parfun, arg_list, arg_list));
endif
endif
endfor
## the scheduler
njobs = numel (args{1});
busy_hosts_lidx = false (1, nhosts);
busy_hosts_jobs = cell (1, nhosts); # will contain index vectors
# into jobs
left_lidx = true (njobs, 1);
firstresult = true;
first_rfeval = true;
error_in_first_rfeval = false;
ready = false;
if (! accumulate)
varargout = cell (njobs, nout);
endif
orig_size = size (args{1});
unwind_protect
while (any (left_lidx) || any (busy_hosts_lidx))
## create remote jobs if jobs are left
## go through all free hosts, there are some (first time or select
## returned)
for host_nid = find (! busy_hosts_lidx)
## index vector into jobs for that host, stop creating remote
## jobs if no job is left
if (isempty (job_idxv = find (left_lidx, rnjobs(host_nid))))
break;
endif
## cargs will contain _column_ arrays
cargs = cellfun (@ (x) x(job_idxv), args, "UniformOutput", false);
try
rfeval (funs{host_nid}, job_idxv, error_handler, cargs, nout, [],
conns(host_nid));
catch
if (first_rfeval)
error_in_first_rfeval = true;
endif
error (lasterr ());
end_try_catch
first_rfeval = false;
busy_hosts_lidx(host_nid) = true;
busy_hosts_jobs{host_nid} = job_idxv;
left_lidx(job_idxv) = false;
endfor
## ready creating jobs, now collect some results
## there are busy hosts, if not directly due to the enclosing
## while-condition, then due to creating jobs above
ready_nidx = select_sockets (conns, -1);
for id = ready_nidx
## a cell-array of the outputs, outputs are columns
res = precv (conns(id));
## distinguish between single function and others
if (rnjobs(id) > 1)
## the outputs are in cell-arrays
res = horzcat (res{:});
endif
if (accumulate)
if (firstresult)
varargout = res;
firstresult = false;
else
[varargout{:}] = cumfunc (varargout{:}, res{:});
endif
else
varargout(busy_hosts_jobs{id}, :) = res;
endif
busy_hosts_lidx(id) = false;
left_lidx(busy_hosts_jobs{id}) = false;
endfor
endwhile
ready = true;
unwind_protect_cleanup
if (! (ready || error_in_first_rfeval))
sclose (conns); # might already be closed
endif
end_unwind_protect
## transform the result
if (uniform_output)
varargout = cell2mat (varargout);
endif
varargout = mat2cell (varargout, rows (varargout), ones (1, nout));
if (! (accumulate || args_are_columns))
varargout = cellfun (@ (x) reshape (x, argdims), varargout,
"UniformOutput", false);
endif
endfunction
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