def init(name, reference, config, sprint_unit=None, version_number=None, callback=None, **kwargs):
"""
This will be called by Sprint PythonControl.
But we also call it ourselves e.g. in getSegmentList() and SprintNnPythonLayer.
:param str name: this specifies the caller. e.g. "Sprint.PythonControl"
:param reference: this is any object to identify the specific instance of the caller, if there are multiple.
:param str config: this will be passed over from Sprint. you can configure that via --*.pymod-config.
:param str sprint_unit: if this is called by Sprint PythonControl, this will specify which specific part
of Sprint is using this PythonControl, because there can be multiple parts.
E.g. there is "FeedForwardTrainer", "SegmentwiseNnTrainer" and "NnTrainer.pythonControl".
:param int|None version_number: if this is called by Sprint PythonControl, this will set the version number.
only newer Sprint versions will set this.
:param function|None callback: if this is called by Sprint PythonControl, this might provide a callback.
Only newer Sprint versions will provide this to init().
This callback can be used for many different actions.
It's supposed to be called like callback(action, **other_args), where action is a string.
See Sprint PythonControl code about the possible actions and arguments.
:param kwargs: all remaining args are specific for each caller.
In this specific module, we expect that there is "c2p_fd" and "p2c_fd" in the config string
to communicate with the parent process, which is usually handled by SprintErrorSignals.
"""
config = config.split(",")
config = {key: value for (key, value) in [s.split(":", 1) for s in config if s]}
global Quiet
if to_bool(config.get("quiet", False)):
Quiet = True
print("CRNN SprintControl[pid %i] init: name=%r, sprint_unit=%r, version_number=%r, callback=%r, ref=%r, config=%r, kwargs=%r" % (
os.getpid(), name, sprint_unit, version_number, callback, reference, config, kwargs))
InitTypes.add(name)
global Verbose
if to_bool(config.get("verbose", False)):
Verbose = True
if to_bool(config.get("EnableAutoNumpySharedMemPickling", False)) and not TaskSystem.SharedMemNumpyConfig["enabled"]:
TaskSystem.SharedMemNumpyConfig["enabled"] = True
print("CRNN SprintControl[pid %i] EnableAutoNumpySharedMemPickling = True" % (os.getpid(),))
# Remaining Sprint interface is in this PythonControl instance.
return PythonControl.create(c2p_fd=int(config["c2p_fd"]), p2c_fd=int(config["p2c_fd"]),
name=name, reference=reference, config=config,
sprint_unit=sprint_unit,
version_number=version_number,
min_version_number=int(config["minPythonControlVersion"]),
callback=callback,
**kwargs)
def init_faulthandler(sigusr1_chain=False):
"""
Maybe installs signal handlers, SIGUSR1 and SIGUSR2 and others.
If no signals handlers are installed yet for SIGUSR1/2, we try to install our own Python handler.
This also tries to install the handler from the fauldhandler module,
esp for SIGSEGV and others.
:param bool sigusr1_chain: whether the default SIGUSR1 handler should also be called.
"""
from Util import to_bool
# Enable libSigSegfault first, so that we can have both,
# because faulthandler will also call the original sig handler.
if os.environ.get("DEBUG_SIGNAL_HANDLER") and to_bool(os.environ.get("DEBUG_SIGNAL_HANDLER")):
install_lib_sig_segfault()
install_native_signal_handler()
if sys.platform != 'win32':
# In case that sigusr1_chain, we expect that there is already some handler
# for SIGUSR1, and then this will not overwrite this handler.
if install_signal_handler_if_default(signal.SIGUSR1):
# There is already some handler or we installed our own handler now,
# so in any case, it's save that we chain then handler.
sigusr1_chain = True
# Why not also SIGUSR2... SGE can also send this signal.
install_signal_handler_if_default(signal.SIGUSR2)
try:
import faulthandler
except ImportError as e:
print("faulthandler import error. %s" % e)
else:
# Only enable if not yet enabled -- otherwise, leave it in its current state.
if not faulthandler.is_enabled():
faulthandler.enable()
if sys.platform != 'win32':
faulthandler.register(signal.SIGUSR1, all_threads=True, chain=sigusr1_chain)
def init(inputDim, outputDim, config, targetMode, **kwargs):
"""
Called by Sprint when it initializes the PythonTrainer.
Set trainer = python-trainer in Sprint to enable.
Note that Sprint will call this, i.e. the trainer init lazily quite late,
only once it sees the first data.
:type inputDim: int
:type outputDim: int
:param str config: config string, passed by Sprint. assumed to be ","-separated
:param str targetMode: "target-alignment" or "criterion-by-sprint" or so
"""
print("SprintInterface[pid %i] init()" % (os.getpid(),))
print "inputDim:", inputDim
print "outputDim:", outputDim
print "config:", config
print "targetMode:", targetMode
print "other args:", kwargs
global InputDim, OutputDim
InputDim = inputDim
OutputDim = outputDim
config = config.split(",")
config = {key: value for (key, value) in [s.split(":", 1) for s in config if s]}
if to_bool(config.get("EnableAutoNumpySharedMemPickling", False)) and not TaskSystem.SharedMemNumpyConfig["enabled"]:
TaskSystem.SharedMemNumpyConfig["enabled"] = True
print("SprintInterface[pid %i] EnableAutoNumpySharedMemPickling = True" % (os.getpid(),))
epoch = config.get("epoch", None)
if epoch is not None:
epoch = int(epoch)
assert epoch >= 1
configfile = config.get("configfile", None)
global Task
action = config["action"]
Task = action
if action == "train":
pass
elif action == "forward":
assert targetMode in ["criterion-by-sprint", "forward-only"]
targetMode = "forward"
else:
assert False, "unknown action: %r" % action
initBase(targetMode=targetMode, configfile=configfile, epoch=epoch)
sprintDataset.setDimensions(inputDim, outputDim)
sprintDataset.initialize()
if Task == "train":
startTrainThread(epoch)
elif Task == "forward":
prepareForwarding()
global startTime
startTime = time.time()
def bool_or_other(self, key, default, index=0):
if key in self.typed_dict:
return self.typed_value(key, default=default, index=index)
if key not in self.dict:
return default
v = str(self.value(key, None, index))
if not v:
return default
from Util import to_bool
try:
return to_bool(v)
except ValueError:
return v
def init_better_exchook():
"""
Installs our own ``sys.excepthook``, which uses :mod:`better_exchook`,
but adds some special handling for the main thread.
"""
import better_exchook
def excepthook(exc_type, exc_obj, exc_tb):
"""
:param exc_type:
:param exc_obj:
:param exc_tb:
"""
# noinspection PyBroadException
try:
# noinspection PyUnresolvedReferences,PyProtectedMember
is_main_thread = isinstance(threading.currentThread(), threading._MainThread)
except Exception: # Can happen at a very late state while quitting.
if exc_type is KeyboardInterrupt:
return
else:
if is_main_thread:
if exc_type is KeyboardInterrupt and getattr(sys, "exited", False):
# Got SIGINT twice. Can happen.
return
# An unhandled exception in the main thread. This means that we are going to quit now.
sys.exited = True
print("Unhandled exception %s in thread %s, proc %i." % (exc_type, threading.currentThread(), os.getpid()))
if exc_type is KeyboardInterrupt:
return
# noinspection PyUnresolvedReferences,PyProtectedMember
if isinstance(threading.currentThread(), threading._MainThread):
main_thread_id = thread.get_ident()
if not isinstance(exc_type, Exception):
# We are the main thread and we got an exit-exception. This is likely fatal.
# This usually means an exit. (We ignore non-daemon threads and procs here.)
# Print the stack of all other threads.
dump_all_thread_tracebacks({main_thread_id})
better_exchook.better_exchook(exc_type, exc_obj, exc_tb)
sys.excepthook = excepthook
from Util import to_bool
if os.environ.get("DEBUG_WARN_WITH_TRACEBACK") and to_bool(os.environ.get("DEBUG_WARN_WITH_TRACEBACK")):
setup_warn_with_traceback()
def bool_or_other(self, key, default, index=0):
"""
:param str key:
:param T default:
:param int index:
:return: if we have typed value, just as-is. otherwise try to convert to bool. or default if not there.
:rtype: bool|T|object
"""
if key in self.typed_dict:
return self.typed_value(key, default=default, index=index)
if key not in self.dict:
return default
v = str(self.value(key, None, index))
if not v:
return default
from Util import to_bool
try:
return to_bool(v)
except ValueError:
return v
def bool(self, key, default, index=0):
"""
Parses the value of the given key as boolean, returning default if not existent
:type key: str
:type default: T
:type index: bool
:rtype: bool | T
"""
if key in self.typed_dict:
value = self.typed_value(key, default=default, index=index)
if isinstance(value, int):
value = bool(value)
if value is not None:
assert isinstance(value, bool)
return value
if key not in self.dict:
return default
v = str(self.value(key, None, index))
if not v:
return default
from Util import to_bool
return to_bool(v)
def _common_init(config):
if to_bool(config.get("EnableAutoNumpySharedMemPickling", False)) and not TaskSystem.SharedMemNumpyConfig["enabled"]:
TaskSystem.SharedMemNumpyConfig["enabled"] = True
print("SprintExternInterface[pid %i] EnableAutoNumpySharedMemPickling = True" % (os.getpid(),))
def init_python_trainer(inputDim, outputDim, config, targetMode, **kwargs):
"""
Called by Sprint when it initializes the PythonTrainer.
Set trainer = python-trainer in Sprint to enable.
Note that Sprint will call this, i.e. the trainer init lazily quite late,
only once it sees the first data.
:type inputDim: int
:type outputDim: int
:param str config: config string, passed by Sprint. assumed to be ","-separated
:param str targetMode: "target-alignment" or "criterion-by-sprint" or so
:return: not expected to return anything
:rtype: None
"""
print("SprintInterface[pid %i] init()" % (os.getpid(), ))
print("inputDim:", inputDim)
print("outputDim:", outputDim)
print("config:", config)
print("targetMode:", targetMode)
print("other args:", kwargs)
global InputDim, OutputDim, MaxSegmentLength
InputDim = inputDim
OutputDim = outputDim
MaxSegmentLength = kwargs.get('maxSegmentLength', MaxSegmentLength)
config = config.split(",")
config = {
key: value
for (key, value) in [s.split(":", 1) for s in config if s]
}
if to_bool(config.get(
"EnableAutoNumpySharedMemPickling",
False)) and not TaskSystem.SharedMemNumpyConfig["enabled"]:
TaskSystem.SharedMemNumpyConfig["enabled"] = True
print(
"SprintInterface[pid %i] EnableAutoNumpySharedMemPickling = True" %
(os.getpid(), ))
epoch = config.get("epoch", None)
if epoch is not None:
epoch = int(epoch)
assert epoch >= 1
configfile = config.get("configfile", None)
global Task
action = config["action"]
Task = action
if action == "train":
pass
elif action == "forward":
assert targetMode in ["criterion-by-sprint", "forward-only"]
targetMode = "forward"
else:
assert False, "unknown action: %r" % action
initBase(targetMode=targetMode, configfile=configfile, epoch=epoch)
sprintDataset.setDimensions(inputDim, outputDim)
sprintDataset.initialize()
if Task == "train":
startTrainThread(epoch)
elif Task == "forward":
prepareForwarding()
global startTime
startTime = time.time()
def init(name,
reference,
config,
sprint_unit=None,
version_number=None,
callback=None,
**kwargs):
"""
This will be called by Sprint PythonControl.
But we also call it ourselves e.g. in getSegmentList() and SprintNnPythonLayer.
In this specific module, we expect that there is "c2p_fd" and "p2c_fd" in the config string
to communicate with the parent process, which is usually handled by SprintErrorSignals.
:param str name: this specifies the caller. e.g. "Sprint.PythonControl"
:param reference: this is any object to identify the specific instance of the caller, if there are multiple.
:param str config: this will be passed over from Sprint. you can configure that via --*.pymod-config.
:param str sprint_unit: if this is called by Sprint PythonControl, this will specify which specific part
of Sprint is using this PythonControl, because there can be multiple parts.
E.g. there is "FeedForwardTrainer", "SegmentwiseNnTrainer" and "NnTrainer.pythonControl".
:param int|None version_number: if this is called by Sprint PythonControl, this will set the version number.
only newer Sprint versions will set this.
:param function|None callback: if this is called by Sprint PythonControl, this might provide a callback.
Only newer Sprint versions will provide this to init().
This callback can be used for many different actions.
It's supposed to be called like callback(action, **other_args), where action is a string.
See Sprint PythonControl code about the possible actions and arguments.
:param kwargs: all remaining args are specific for each caller.
"""
config = config.split(",")
config = {
key: value
for (key, value) in [s.split(":", 1) for s in config if s]
}
global Quiet
if to_bool(config.get("quiet", False)):
Quiet = True
print((
"CRNN SprintControl[pid %i] init: "
"name=%r, sprint_unit=%r, version_number=%r, callback=%r, ref=%r, config=%r, kwargs=%r"
) % (os.getpid(), name, sprint_unit, version_number, callback, reference,
config, kwargs))
InitTypes.add(name)
global Verbose
if to_bool(config.get("verbose", False)):
Verbose = True
if to_bool(config.get(
"EnableAutoNumpySharedMemPickling",
False)) and not TaskSystem.SharedMemNumpyConfig["enabled"]:
TaskSystem.SharedMemNumpyConfig["enabled"] = True
print(
"CRNN SprintControl[pid %i] EnableAutoNumpySharedMemPickling = True"
% (os.getpid(), ))
# Remaining Sprint interface is in this PythonControl instance.
return PythonControl.create(c2p_fd=int(config["c2p_fd"]),
p2c_fd=int(config["p2c_fd"]),
name=name,
reference=reference,
config=config,
sprint_unit=sprint_unit,
version_number=version_number,
min_version_number=int(
config["minPythonControlVersion"]),
callback=callback,
**kwargs)
def _common_init(config):
if to_bool(config.get("EnableAutoNumpySharedMemPickling", False)) and not TaskSystem.SharedMemNumpyConfig["enabled"]:
TaskSystem.SharedMemNumpyConfig["enabled"] = True
print("SprintExternInterface[pid %i] EnableAutoNumpySharedMemPickling = True" % (os.getpid(),))
