def add_task_args(self, task):
for t in ids_to_tasks(task).split(','):
agent = get_task_module(t)
try:
if hasattr(agent, 'add_cmdline_args'):
agent.add_cmdline_args(self)
except argparse.ArgumentError:
# already added
pass
def create_task(opt, user_agents, default_world=None):
"""
Create a world + task_agents (aka a task).
Assuming ``opt['task']="task_dir:teacher_class:options"``
e.g. ``"babi:Task1k:1"`` or ``"#babi-1k"`` or ``"#QA"``,
see ``parlai/tasks/tasks.py`` and see ``parlai/tasks/task_list.py``
for list of tasks.
"""
task = opt.get('task')
pyt_task = opt.get('pytorch_teacher_task')
pyt_dataset = opt.get('pytorch_teacher_dataset')
if not (task or pyt_task or pyt_dataset):
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
# When building pytorch data, there is a point where task and pyt_task
# are the same; make sure we discount that case.
pyt_multitask = task is not None and (
(pyt_task is not None and pyt_task != task) or
(pyt_dataset is not None and pyt_dataset != task))
if not task:
opt['task'] = 'pytorch_teacher'
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
print("\t\t opt['task'] :: ", opt['task'])
opt['task'] = ids_to_tasks(opt['task'])
if pyt_multitask and 'pytorch_teacher' not in opt['task']:
opt['task'] += ',pytorch_teacher'
print('\t\t[creating task(s): ' + opt['task'] + ']')
# check if single or multithreaded, and single-example or batched examples
if ',' not in opt['task']:
# Single task
print("\t\tcreate_task_world")
world = create_task_world(opt,
user_agents,
default_world=default_world)
else:
print("\t\tMultiWorld")
# Multitask teacher/agent
# TODO: remove and replace with multiteachers only?
world = MultiWorld(opt, user_agents, default_world=default_world)
if opt.get('numthreads', 1) > 1:
# use hogwild world if more than one thread requested
# hogwild world will create sub batch worlds as well if bsz > 1
world = HogwildWorld(opt, world)
elif opt.get('batchsize', 1) > 1:
# otherwise check if should use batchworld
world = BatchWorld(opt, world)
return world
def add_task_args(self, task):
"""
Add arguments specific to the specified task.
"""
for t in ids_to_tasks(task).split(','):
agent = load_teacher_module(t)
try:
if hasattr(agent, 'add_cmdline_args'):
agent.add_cmdline_args(self)
except argparse.ArgumentError:
# already added
pass
def add_task_args(self, args=None):
# Find which task specified, and add its specific arguments.
args = sys.argv if args is None else args
task = None
for index, item in enumerate(args):
if item == '-t' or item == '--task':
task = args[index + 1]
if task:
for t in ids_to_tasks(task).split(','):
agent = get_task_module(t)
if hasattr(agent, 'add_cmdline_args'):
agent.add_cmdline_args(self)
def add_task_args(self, args):
# Find which task specified, and add its specific arguments.
args = sys.argv if args is None else args
task = None
for index, item in enumerate(args):
if item == '-t' or item == '--task':
task = args[index + 1]
if task:
for t in ids_to_tasks(task).split(','):
agent = get_task_module(t)
if hasattr(agent, 'add_cmdline_args'):
agent.add_cmdline_args(self)
def create_task(opt, user_agents):
"""Creates a world + task_agents (aka a task)
assuming ``opt['task']="task_dir:teacher_class:options"``
e.g. ``"babi:Task1k:1"`` or ``"#babi-1k"`` or ``"#QA"``,
see ``parlai/tasks/tasks.py`` and see ``parlai/tasks/task_list.py``
for list of tasks.
"""
if not opt.get('task'):
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
opt['task'] = ids_to_tasks(opt['task'])
print('[creating task(s): ' + opt['task'] + ']')
# Single threaded or hogwild task creation (the latter creates multiple threads).
# Check datatype for train, because we need to do single-threaded for
# valid and test in order to guarantee exactly one epoch of training.
# If batchsize > 1, default to BatchWorld, as numthreads can be used for
# multithreading in batch mode, e.g. multithreaded data loading
if opt.get('numthreads',
1) == 1 or 'train' not in opt['datatype'] or opt.get(
'batchsize', 1) > 1:
if ',' not in opt['task']:
# Single task
world = create_task_world(opt, user_agents)
else:
# Multitask teacher/agent
world = MultiWorld(opt, user_agents)
if opt.get('batchsize', 1) > 1:
return BatchWorld(opt, world)
else:
return world
else:
# more than one thread requested: do hogwild training
if ',' not in opt['task']:
# Single task
# TODO(ahm): fix metrics for multiteacher hogwild training
world_class, task_agents = _get_task_world(opt)
return HogwildWorld(world_class, opt, task_agents + user_agents)
else:
# TODO(ahm): fix this
raise NotImplementedError('hogwild multiworld not supported yet')
def create_task(opt: Opt, user_agents, default_world=None):
"""
Create a world + task_agents (aka a task).
Assuming ``opt['task']="task_dir:teacher_class:options"`` e.g. ``"babi:Task1k:1"``
or ``"#babi-1k"`` or ``"#QA"``, see ``parlai/tasks/tasks.py`` and see
``parlai/tasks/task_list.py`` for list of tasks.
"""
task = opt.get('task')
if not task:
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
opt['task'] = ids_to_tasks(opt['task'])
logging.info(f"creating task(s): {opt['task']}")
if ',' not in opt['task']:
# Single task
world = create_task_world(opt,
user_agents,
default_world=default_world)
else:
# Multitask teacher/agent
# TODO: remove and replace with multiteachers only?
world = MultiWorld(opt, user_agents, default_world=default_world)
if DatatypeHelper.is_training(
opt['datatype']) and opt.get('num_workers', 0) > 0:
# note that we never use Background preprocessing in the valid/test
# worlds, as we are unable to call Teacher.observe(model_act) in BG
# preprocessing, so we are unable to compute Metrics or accurately
# differentiate MultiWorld stats.
world = BackgroundDriverWorld(opt, world)
elif opt.get('batchsize', 1) > 1 and opt.get('dynamic_batching'):
world = DynamicBatchWorld(opt, world)
elif opt.get('batchsize', 1) > 1:
# otherwise check if should use batchworld
world = BatchWorld(opt, world)
return world
def create_task(opt, user_agents):
"""Creates a world + task_agents (aka a task)
assuming ``opt['task']="task_dir:teacher_class:options"``
e.g. ``"babi:Task1k:1"`` or ``"#babi-1k"`` or ``"#QA"``,
see ``parlai/tasks/tasks.py`` and see ``parlai/tasks/task_list.py``
for list of tasks.
"""
if not opt.get('task'):
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
opt['task'] = ids_to_tasks(opt['task'])
print('[creating task(s): ' + opt['task'] + ']')
# Single threaded or hogwild task creation (the latter creates multiple threads).
# Check datatype for train, because we need to do single-threaded for
# valid and test in order to guarantee exactly one epoch of training.
if opt.get('numthreads', 1) == 1 or 'train' not in opt['datatype']:
if ',' not in opt['task']:
# Single task
world = create_task_world(opt, user_agents)
else:
# Multitask teacher/agent
world = MultiWorld(opt, user_agents)
if opt.get('batchsize', 1) > 1:
return BatchWorld(opt, world)
else:
return world
else:
# more than one thread requested: do hogwild training
if ',' not in opt['task']:
# Single task
# TODO(ahm): fix metrics for multiteacher hogwild training
world_class, task_agents = _get_task_world(opt)
return HogwildWorld(world_class, opt, task_agents + user_agents)
else:
# TODO(ahm): fix this
raise NotImplementedError('hogwild multiworld not supported yet')
def add_task_args(self, task: str, partial: Opt):
"""
Add arguments specific to the specified task.
"""
for t in ids_to_tasks(task).split(','):
agent = load_teacher_module(t)
try:
if hasattr(agent, 'add_cmdline_args'):
agent.add_cmdline_args(self, partial)
except TypeError as typ:
raise TypeError(
f"Task '{task}' appears to have signature "
"add_cmdline_args(argparser) but we have updated the signature "
"to add_cmdline_args(argparser, partial_opt). For details, see "
"https://github.com/facebookresearch/ParlAI/pull/3328."
) from typ
except argparse.ArgumentError:
# already added
pass
def create_task(opt, user_agents, default_world=None):
"""Creates a world + task_agents (aka a task)
assuming ``opt['task']="task_dir:teacher_class:options"``
e.g. ``"babi:Task1k:1"`` or ``"#babi-1k"`` or ``"#QA"``,
see ``parlai/tasks/tasks.py`` and see ``parlai/tasks/task_list.py``
for list of tasks.
"""
if not (opt.get('task') or opt.get('pytorch_teacher_task')
or opt.get('pytorch_teacher_dataset')):
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
if not opt.get('task'):
opt['task'] = 'pytorch_teacher'
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
opt['task'] = ids_to_tasks(opt['task'])
print('[creating task(s): ' + opt['task'] + ']')
# check if single or multithreaded, and single-example or batched examples
if ',' not in opt['task']:
# Single task
world = create_task_world(opt,
user_agents,
default_world=default_world)
else:
# Multitask teacher/agent
# TODO: remove and replace with multiteachers only?
world = MultiWorld(opt, user_agents, default_world=default_world)
if opt.get('numthreads', 1) > 1:
# use hogwild world if more than one thread requested
# hogwild world will create sub batch worlds as well if bsz > 1
world = HogwildWorld(opt, world)
elif opt.get('batchsize', 1) > 1:
# otherwise check if should use batchworld
world = BatchWorld(opt, world)
return world
def create_task(opt, user_agents):
"""Creates a world + task_agents (aka a task)
assuming opt['task']="task_dir:teacher_class:options"
e.g. "babi:Task1k:1" or "#babi-1k" or "#QA",
see parlai/tasks/tasks.py and see parlai/tasks/task_list.py
for list of tasks.
"""
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
#pdb.set_trace()
opt['task'] = ids_to_tasks(opt['task'])
print('[creating task(s): ' + opt['task'] + ']')
# Single threaded or hogwild task creation (the latter creates multiple threads).
# Check datatype for train, because we need to do single-threaded for
# valid and test in order to guarantee exactly one epoch of training.
if opt.get('numthreads', 1) == 1 or opt['datatype'] != 'train':
if ',' not in opt['task']:
# Single task
world = create_task_world(opt, user_agents)
else:
# Multitask teacher/agent
world = MultiWorld(opt, user_agents)
if opt.get('batchsize', 1) > 1:
return BatchWorld(opt, world)
else:
return world
else:
# more than one thread requested: do hogwild training
if ',' not in opt['task']:
# Single task
# TODO(ahm): fix metrics for multiteacher hogwild training
world_class, task_agents = _get_task_world(opt)
return HogwildWorld(world_class, opt, task_agents + user_agents)
else:
# TODO(ahm): fix this
raise NotImplementedError('hogwild multiworld not supported yet')
def create_task(opt: Opt, user_agents, default_world=None):
"""
Create a world + task_agents (aka a task).
Assuming ``opt['task']="task_dir:teacher_class:options"`` e.g. ``"babi:Task1k:1"``
or ``"#babi-1k"`` or ``"#QA"``, see ``parlai/tasks/tasks.py`` and see
``parlai/tasks/task_list.py`` for list of tasks.
"""
task = opt.get('task')
if not task:
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
opt['task'] = ids_to_tasks(opt['task'])
logging.info(f"creating task(s): {opt['task']}")
if ',' not in opt['task']:
# Single task
world = create_task_world(opt,
user_agents,
default_world=default_world)
else:
# Multitask teacher/agent
# TODO: remove and replace with multiteachers only?
world = MultiWorld(opt, user_agents, default_world=default_world)
if opt.get('batchsize', 1) > 1 and opt.get('dynamic_batching'):
world = DynamicBatchWorld(opt, world)
elif opt.get('batchsize', 1) > 1:
# otherwise check if should use batchworld
world = BatchWorld(opt, world)
return world
def create_task(opt, user_agents):
"""Creates a world + task_agents (aka a task)
assuming ``opt['task']="task_dir:teacher_class:options"``
e.g. ``"babi:Task1k:1"`` or ``"#babi-1k"`` or ``"#QA"``,
see ``parlai/tasks/tasks.py`` and see ``parlai/tasks/task_list.py``
for list of tasks.
"""
if not opt.get('task'):
raise RuntimeError('No task specified. Please select a task with ' +
'--task {task_name}.')
if type(user_agents) != list:
user_agents = [user_agents]
# Convert any hashtag task labels to task directory path names.
# (e.g. "#QA" to the list of tasks that are QA tasks).
opt = copy.deepcopy(opt)
opt['task'] = ids_to_tasks(opt['task'])
print('[creating task(s): ' + opt['task'] + ']')
# check if single or multithreaded, and single-example or batched examples
if ',' not in opt['task']:
# Single task
world = create_task_world(opt, user_agents)
else:
# Multitask teacher/agent
# TODO: remove and replace with multiteachers only?
world = MultiWorld(opt, user_agents)
if opt.get('numthreads', 1) > 1:
# use hogwild world if more than one thread requested
# hogwild world will create sub batch worlds as well if bsz > 1
world = HogwildWorld(opt, world)
elif opt.get('batchsize', 1) > 1:
# otherwise check if should use batchworld
world = BatchWorld(opt, world)
return world
