本文整理汇总了Python中theano.compat.OrderedDict.values方法的典型用法代码示例。如果您正苦于以下问题：Python OrderedDict.values方法的具体用法？Python OrderedDict.values怎么用？Python OrderedDict.values使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类theano.compat.OrderedDict的用法示例。
在下文中一共展示了OrderedDict.values方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from theano.compat import OrderedDict [as 别名]
# 或者: from theano.compat.OrderedDict import values [as 别名]
def __init__(self, valid=None, invalid=None, valid_equivalent=None):
'''
Check if variables can be expressed without using variables in invalid.
init_valid_equivalent provides a dictionary mapping some invalid
variables to valid ones that can be used instead.
'''
if valid is None:
valid = []
if invalid is None:
invalid = []
if valid_equivalent is None:
valid_equivalent = OrderedDict()
# Nodes that are valid to have in the graph computing outputs
self.valid = set(valid)
# Nodes that are NOT valid to have in the graph computing outputs
self.invalid = set(invalid)
# Mapping from invalid variables to equivalent valid ones.
self.valid_equivalent = valid_equivalent.copy()
self.valid.update(valid_equivalent.values())
self.invalid.update(valid_equivalent.keys())示例2: __init__
# 需要导入模块: from theano.compat import OrderedDict [as 别名]
# 或者: from theano.compat.OrderedDict import values [as 别名]
def __init__(self, valid=None, invalid=None, valid_equivalent=None):
if valid is None:
valid = []
if invalid is None:
invalid = []
if valid_equivalent is None:
valid_equivalent = OrderedDict()
# Nodes that are valid to have in the graph computing outputs
self.valid = set(valid)
# Nodes that are NOT valid to have in the graph computing outputs
self.invalid = set(invalid)
# Mapping from invalid variables to equivalent valid ones.
self.valid_equivalent = valid_equivalent.copy()
self.valid.update(list(valid_equivalent.values()))
self.invalid.update(list(valid_equivalent.keys()))示例3: get_lr_scalers
# 需要导入模块: from theano.compat import OrderedDict [as 别名]
# 或者: from theano.compat.OrderedDict import values [as 别名]
def get_lr_scalers(self):
"""
.. todo::
WRITEME
"""
rval = OrderedDict()
params = self.get_params()
for layer in self.hidden_layers + [ self.visible_layer ]:
contrib = layer.get_lr_scalers()
# No two layers can contend to scale a parameter
assert not any([key in rval for key in contrib])
# Don't try to scale anything that's not a parameter
assert all([key in params for key in contrib])
rval.update(contrib)
assert all([isinstance(val, float) for val in rval.values()])
return rval