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Method __init__

tensorflow/contrib/rate/rate.py:39–63  ·  view source on GitHub ↗
(self, name=None)

Source from the content-addressed store, hash-verified

37 """Computes the rate of change since the last rate call."""
38
39 def __init__(self, name=None):
40 self._built = False
41 self._vars = []
42 self._initial_values = {}
43 name = name or self.__class__.__name__
44 # Replace things like spaces in name to create a valid scope name.
45 scope_name = _to_replace.sub("_", name)
46 # We create the variable scope now to get the unique name that will
47 # be used as a variable prefix when build() calls _add_variable().
48 with variable_scope.variable_scope(
49 scope_name, use_resource=True, reuse=False) as scope:
50 pos = scope.name.rfind(scope_name)
51 self._name = name + scope.name[pos + len(scope_name):]
52 self._scope = scope
53
54 # Ensures that if the user calls build directly we still set self._built to
55 # True to prevent variables from being recreated.
56 self._build = self.build
57 if context.executing_eagerly():
58 self._construction_scope = context.eager_mode
59 else:
60 # We make self.call() into a graph callable here, so that we can
61 # return a single op that performs all of the variable updates.
62 self._construction_scope = ops.get_default_graph().as_default
63 self.call = function.defun(self.call)
64
65 def build(self, values, denominator):
66 """Method to create variables.

Callers

nothing calls this directly

Calls 4

variable_scopeMethod · 0.80
executing_eagerlyMethod · 0.80
subMethod · 0.45
defunMethod · 0.45

Tested by

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