def init(config_str):
"""
:param str config_str: either filename to config-file, or dict for dataset
"""
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if config_str.startswith("{"):
print("Using dataset %s." % config_str)
datasetDict = eval(config_str)
configFilename = None
else:
datasetDict = None
configFilename = config_str
print("Using config file %r." % configFilename)
assert os.path.exists(configFilename)
rnn.initConfig(configFilename=configFilename, commandLineOptions=[])
global config
config = rnn.config
config.set("log", None)
if datasetDict:
config.set("train", datasetDict)
rnn.initLog()
print("CRNN dump-dataset starting up.", file=log.v1)
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
rnn.initData()
rnn.printTaskProperties()
def init(config_filename, cmd_line_opts, dataset_config_str):
"""
:param str config_filename: global config for CRNN
:param list[str] cmd_line_opts: options for initConfig method
:param str dataset_config_str: dataset via init_dataset_via_str()
"""
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if config_filename:
rnn.initConfig(config_filename, cmd_line_opts)
rnn.initLog()
else:
log.initialize(verbosity=[5])
print >> log.v3, "CRNN dump-dataset starting up."
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
if config_filename:
rnn.initData()
rnn.printTaskProperties()
assert isinstance(rnn.train_data, Dataset)
return rnn.train_data
else:
assert dataset_config_str
dataset = init_dataset_via_str(dataset_config_str)
print >> log.v3, "Source dataset:", dataset.len_info()
return dataset
def init(config_filename, log_verbosity):
"""
:param str config_filename: filename to config-file
:param int log_verbosity:
"""
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if config_filename:
print("Using config file %r." % config_filename)
assert os.path.exists(config_filename)
rnn.initConfig(configFilename=config_filename, commandLineOptions=[])
global config
config = rnn.config
config.set("log", None)
config.set("log_verbosity", log_verbosity)
config.set("use_tensorflow", True)
rnn.initLog()
print("Returnn compile-native-op starting up.", file=log.v1)
rnn.returnnGreeting()
rnn.initBackendEngine()
assert Util.BackendEngine.is_tensorflow_selected(
), "this is only for TensorFlow"
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
if 'network' in config.typed_dict:
print("Loading network")
from TFNetwork import TFNetwork
network = TFNetwork(name="root",
config=config,
rnd_seed=1,
train_flag=False,
eval_flag=True,
search_flag=False)
network.construct_from_dict(config.typed_dict["network"])
def init(config_filename, cmd_line_opts, dataset_config_str):
"""
:param str config_filename: global config for CRNN
:param list[str] cmd_line_opts: options for initConfig method
:param str dataset_config_str: dataset via init_dataset_via_str()
"""
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if config_filename:
rnn.initConfig(config_filename, cmd_line_opts)
rnn.initLog()
else:
log.initialize(verbosity=[5])
print("CRNN dump-dataset starting up.", file=log.v3)
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
if config_filename:
rnn.initData()
rnn.printTaskProperties()
assert isinstance(rnn.train_data, Dataset)
return rnn.train_data
else:
assert dataset_config_str
dataset = init_dataset_via_str(dataset_config_str)
print("Source dataset:", dataset.len_info(), file=log.v3)
return dataset
def init(config_filename, log_verbosity):
"""
:param str config_filename: filename to config-file
:param int log_verbosity:
"""
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if config_filename:
print("Using config file %r." % config_filename)
assert os.path.exists(config_filename)
rnn.initConfig(configFilename=config_filename, commandLineOptions=[])
global config
config = rnn.config
config.set("task", "calculate_wer")
config.set("log", None)
config.set("log_verbosity", log_verbosity)
config.set("use_tensorflow", True)
rnn.initLog()
print("Returnn calculate-word-error-rate starting up.", file=log.v1)
rnn.returnnGreeting()
rnn.initBackendEngine()
assert Util.BackendEngine.is_tensorflow_selected(
), "this is only for TensorFlow"
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
rnn.printTaskProperties()
def init(config_str, verbosity):
"""
:param str config_str: either filename to config-file, or dict for dataset
:param int verbosity:
"""
rnn.initBetterExchook()
rnn.initThreadJoinHack()
datasetDict = None
configFilename = None
if config_str.strip().startswith("{"):
print("Using dataset %s." % config_str)
datasetDict = eval(config_str.strip())
elif config_str.endswith(".hdf"):
datasetDict = {"class": "HDFDataset", "files": [config_str]}
print("Using dataset %r." % datasetDict)
assert os.path.exists(config_str)
else:
configFilename = config_str
print("Using config file %r." % configFilename)
assert os.path.exists(configFilename)
rnn.initConfig(configFilename=configFilename,
default_config={"cache_size": "0"})
global config
config = rnn.config
config.set("log", None)
config.set("log_verbosity", verbosity)
if datasetDict:
config.set("train", datasetDict)
rnn.initLog()
print("Returnn dump-dataset starting up.", file=log.v2)
rnn.returnnGreeting()
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
rnn.initData()
rnn.printTaskProperties()
def init(configFilename, commandLineOptions):
rnn.initBetterExchook()
rnn.initConfig(configFilename, commandLineOptions)
global config
config = rnn.config
config.set("log", [])
rnn.initLog()
print("CRNN dump-dataset starting up.", file=log.v3)
rnn.initConfigJsonNetwork()
def init(configFilename, commandLineOptions):
rnn.initBetterExchook()
rnn.initConfig(configFilename, commandLineOptions)
global config
config = rnn.config
config.set("log", [])
rnn.initLog()
print >> log.v3, "CRNN dump-dataset starting up."
rnn.initConfigJsonNetwork()
def init(configFilename, commandLineOptions):
rnn.initBetterExchook()
rnn.initThreadJoinHack()
rnn.initConfig(configFilename, commandLineOptions)
global config
config = rnn.config
rnn.initLog()
print >> log.v3, "CRNN demo-dataset starting up"
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
rnn.initData()
rnn.printTaskProperties()
def init(configFilename, commandLineOptions): rnn.initBetterExchook() rnn.initThreadJoinHack() rnn.initConfig(configFilename, commandLineOptions) global config config = rnn.config rnn.initLog() print >> log.v3, "CRNN demo-dataset starting up" rnn.initFaulthandler() rnn.initConfigJsonNetwork() rnn.initData() rnn.printTaskProperties()
def init(configFilename, commandLineOptions):
rnn.initBetterExchook()
rnn.initThreadJoinHack()
rnn.initConfig(configFilename, commandLineOptions)
global config
config = rnn.config
config.set("log", None)
rnn.initLog()
print("CRNN dump-dataset starting up.", file=log.v1)
rnn.initFaulthandler()
rnn.initConfigJsonNetwork()
rnn.initData()
rnn.printTaskProperties()
def init(configFilename=None):
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if configFilename:
rnn.initConfig(configFilename, commandLineOptions=[])
rnn.initLog()
else:
log.initialize()
print("CRNN collect-orth-symbols starting up.", file=log.v3)
rnn.initFaulthandler()
if configFilename:
rnn.initConfigJsonNetwork()
rnn.initData()
rnn.printTaskProperties()
def init(configFilename=None):
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if configFilename:
rnn.initConfig(configFilename, commandLineOptions=[])
rnn.initLog()
else:
log.initialize()
print >> log.v3, "CRNN collect-orth-symbols starting up."
rnn.initFaulthandler()
if configFilename:
rnn.initConfigJsonNetwork()
rnn.initData()
rnn.printTaskProperties()
def initBase(configfile=None, targetMode=None, epoch=None):
"""
:type configfile: str | None
"""
global isInitialized
isInitialized = True
# Run through in any case. Maybe just to set targetMode.
global config
if not config:
if configfile is None:
configfile = DefaultSprintCrnnConfig
assert os.path.exists(configfile)
rnn.initThreadJoinHack()
rnn.initConfig(configfile, [])
config = rnn.config
rnn.initLog()
rnn.initConfigJsonNetwork()
if targetMode:
setTargetMode(targetMode)
initDataset()
if targetMode and targetMode == "forward" and epoch:
model_filename = config.value('model', '')
fns = [Engine.epoch_model_filename(model_filename, epoch, is_pretrain) for is_pretrain in [False, True]]
fns_existing = [fn for fn in fns if os.path.exists(fn)]
assert len(fns_existing) == 1, "%s not found" % fns
model_epoch_filename = fns_existing[0]
config.set('load', model_epoch_filename)
assert Engine.get_epoch_model(config)[1] == model_epoch_filename
global engine
if not engine:
devices = rnn.initDevices()
rnn.printTaskProperties(devices)
rnn.initEngine(devices)
engine = rnn.engine
assert isinstance(engine, Engine)
def initBase(configfile=None, targetMode=None, epoch=None):
"""
:param str|None configfile: filename, via init(), this is set
:param str|None targetMode: "forward" or so. via init(), this is set
:param int epoch: via init(), this is set
"""
global isInitialized
isInitialized = True
# Run through in any case. Maybe just to set targetMode.
if not getattr(sys, "argv", None):
# Set some dummy. Some code might want this (e.g. TensorFlow).
sys.argv = [__file__]
global config
if not config:
# Some subset of what we do in rnn.init().
rnn.initBetterExchook()
rnn.initThreadJoinHack()
if configfile is None:
configfile = DefaultSprintCrnnConfig
assert os.path.exists(configfile)
rnn.initConfig(configFilename=configfile)
config = rnn.config
rnn.initLog()
rnn.returnnGreeting(configFilename=configfile)
rnn.initBackendEngine()
rnn.initFaulthandler(sigusr1_chain=True)
rnn.initConfigJsonNetwork()
if BackendEngine.is_tensorflow_selected():
# Use TFEngine.Engine class instead of Engine.Engine.
import TFEngine
global Engine
Engine = TFEngine.Engine
import atexit
atexit.register(_at_exit_handler)
if targetMode:
setTargetMode(targetMode)
initDataset()
if targetMode and targetMode == "forward" and epoch:
model_filename = config.value('model', '')
fns = [
Engine.epoch_model_filename(model_filename, epoch, is_pretrain)
for is_pretrain in [False, True]
]
fn_postfix = ""
if BackendEngine.is_tensorflow_selected():
fn_postfix += ".meta"
fns_existing = [fn for fn in fns if os.path.exists(fn + fn_postfix)]
assert len(fns_existing) == 1, "%s not found" % fns
model_epoch_filename = fns_existing[0]
config.set('load', model_epoch_filename)
assert Engine.get_epoch_model(config)[1] == model_epoch_filename, \
"%r != %r" % (Engine.get_epoch_model(config), model_epoch_filename)
global engine
if not engine:
devices = rnn.initDevices()
rnn.printTaskProperties(devices)
rnn.initEngine(devices)
engine = rnn.engine
assert isinstance(engine, Engine)
