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def check_folder(log_dir):
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if not os.path.exists(log_dir):
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os.makedirs(log_dir)
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return log_dir
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def str2bool(x):
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return x.lower() in ('true')
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def pytorch_xavier_weight_factor(gain=0.02, uniform=False) :
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if uniform :
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factor = gain * gain
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mode = 'FAN_AVG'
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else :
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factor = (gain * gain) / 1.3
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mode = 'FAN_AVG'
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return factor, mode, uniform
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def pytorch_kaiming_weight_factor(a=0.0, activation_function='relu', uniform=False) :
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if activation_function == 'relu' :
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gain = np.sqrt(2.0)
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elif activation_function == 'leaky_relu' :
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gain = np.sqrt(2.0 / (1 + a ** 2))
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elif activation_function =='tanh' :
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gain = 5.0 / 3
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else :
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gain = 1.0
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if uniform :
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factor = gain * gain
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mode = 'FAN_IN'
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else :
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factor = (gain * gain) / 1.3
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mode = 'FAN_IN'
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return factor, mode, uniform
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# <FILESEP>
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"""
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Created on 24 July 2016
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@author: Thomas Antony
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"""
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import copy
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import inspect
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import functools
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import collections
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__version__ = '0.0.5.3'
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def validate_task(original_task):
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"""
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Validates task and adds default values for missing options using the
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following steps.
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1. If there is no input list specified or if it is None, the input spec is
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assumed to be ['*'].
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2. If there are not outputs specified, or if the output spec is None or an
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empty list, the output spec is assumed to be ['*'].
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3. If the input or output spec is not iterable, they are converted into
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single element tuples. If they are any iterable, they are converted into
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tuples.
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4. The task['fn'] option must be callable.
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5. If number of outputs is more than one, task['fn'] must be a generator
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function.
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6. Generator functions are not supported for output spec of '*'.
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Returns new task with updated options
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"""
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task = original_task._asdict()
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# Default values for inputs and outputs
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if 'inputs' not in task or task['inputs'] is None:
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task['inputs'] = ['*']
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# Outputs list cannot be empty
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if ('outputs' not in task or
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task['outputs'] is None or
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len(task['outputs']) == 0):
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task['outputs'] = ['*']
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# Convert to tuples (even for single values)
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if not hasattr(task['inputs'], '__iter__') or isinstance(task['inputs'], str):
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task['inputs'] = (task['inputs'],)
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else:
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task['inputs'] = tuple(task['inputs'])
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if not hasattr(task['outputs'], '__iter__') or isinstance(task['outputs'], str):
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task['outputs'] = (task['outputs'],)
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else:
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task['outputs'] = tuple(task['outputs'])
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if not callable(task['fn']):
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