artiq/artiq/frontend/artiq_run.py
2016-01-25 17:24:00 -07:00

156 lines
4.6 KiB
Python
Executable File

#!/usr/bin/env python3.5
# Copyright (C) 2014, 2015 M-Labs Limited
# Copyright (C) 2014, 2015 Robert Jordens <jordens@gmail.com>
import argparse
import sys
from operator import itemgetter
import logging
import h5py
from artiq.language.environment import EnvExperiment
from artiq.master.databases import DeviceDB, DatasetDB
from artiq.master.worker_db import DeviceManager, DatasetManager
from artiq.coredevice.core import CompileError, host_only
from artiq.compiler.embedding import ObjectMap
from artiq.compiler.targets import OR1KTarget
from artiq.tools import *
logger = logging.getLogger(__name__)
class ELFRunner(EnvExperiment):
def build(self):
self.setattr_device("core")
self.setattr_argument("file")
def run(self):
with open(self.file, "rb") as f:
kernel_library = f.read()
target = OR1KTarget()
self.core.comm.load(kernel_library)
self.core.comm.run()
self.core.comm.serve(ObjectMap(),
lambda addresses: target.symbolize(kernel_library, addresses))
class DummyScheduler:
def __init__(self):
self.rid = 0
self.pipeline_name = "main"
self.priority = 0
self.expid = None
self._next_rid = 1
def submit(self, pipeline_name, expid, priority, due_date, flush):
rid = self._next_rid
self._next_rid += 1
logger.info("Submitting: %s, RID=%s", expid, rid)
return rid
def delete(self, rid):
logger.info("Deleting RID %s", rid)
def request_termination(self, rid):
logger.info("Requesting termination of RID %s", rid)
def get_status(self):
return dict()
@host_only
def pause(self):
pass
def get_argparser(with_file=True):
parser = argparse.ArgumentParser(
description="Local experiment running tool")
verbosity_args(parser)
parser.add_argument("--device-db", default="device_db.pyon",
help="device database file (default: '%(default)s')")
parser.add_argument("--dataset-db", default="dataset_db.pyon",
help="dataset file (default: '%(default)s')")
parser.add_argument("-e", "--experiment", default=None,
help="experiment to run")
parser.add_argument("-o", "--hdf5", default=None,
help="write results to specified HDF5 file"
" (default: print them)")
if with_file:
parser.add_argument("file",
help="file containing the experiment to run")
parser.add_argument("arguments", nargs="*",
help="run arguments")
return parser
def _build_experiment(device_mgr, dataset_mgr, args):
if hasattr(args, "file"):
if args.file.endswith(".elf"):
if args.arguments:
raise ValueError("arguments not supported for ELF kernels")
if args.experiment:
raise ValueError("experiment-by-name not supported "
"for ELF kernels")
return ELFRunner(device_mgr, dataset_mgr, file=args.file)
else:
module = file_import(args.file, prefix="artiq_run_")
file = args.file
else:
module = sys.modules["__main__"]
file = getattr(module, "__file__")
exp = get_experiment(module, args.experiment)
arguments = parse_arguments(args.arguments)
expid = {
"file": file,
"experiment": args.experiment,
"arguments": arguments
}
device_mgr.virtual_devices["scheduler"].expid = expid
return exp(device_mgr, dataset_mgr, **arguments)
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
except CompileError as error:
return
except Exception as exn:
if hasattr(exn, 'core_exception'):
print(exn.core_exception, file=sys.stderr)
raise exn
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def main():
return run(with_file=True)
if __name__ == "__main__":
main()