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How to use _add_variable method in lisa

Best Python code snippet using lisa_python

rate.py

Source:rate.py

...36    name = name or self.__class__.__name__37    # Replace things like spaces in name to create a valid scope name.38    scope_name = _to_replace.sub("_", name)39    # We create the variable scope now to get the unique name that will40    # be used as a variable prefix when build() calls _add_variable().41    with variable_scope.variable_scope(42        scope_name, use_resource=True, reuse=False) as scope:43      pos = scope.name.rfind(scope_name)44      self._name = name + scope.name[pos + len(scope_name):]45      self._scope = scope46    # Ensures that if the user calls build directly we still set self._built to47    # True to prevent variables from being recreated.48    self._build = self.build49    if context.executing_eagerly():50      self._construction_scope = context.eager_mode51    else:52      # We make self.call() into a graph callable here, so that we can53      # return a single op that performs all of the variable updates.54      self._construction_scope = ops.get_default_graph().as_default55      self.call = function.defun(self.call)56  def build(self, values, denominator):57    """Method to create variables.58    Called by `__call__()` before `call()` for the first time.59    Args:60      values: The numerator for rate.61      denominator: Value to which the rate is taken with respect.62    """63    self.numer = self._add_variable(64        name="numer", shape=values.get_shape(), dtype=dtypes.float64)65    self.denom = self._add_variable(66        name="denom", shape=denominator.get_shape(), dtype=dtypes.float64)67    self.prev_values = self._add_variable(68        name="prev_values", shape=values.get_shape(), dtype=dtypes.float64)69    self.prev_denominator = self._add_variable(70        name="prev_denominator",71        shape=denominator.get_shape(),72        dtype=dtypes.float64)73    self._built = True74  def __call__(self, *args, **kwargs):75    """Returns op to execute to update.76    Returns None if eager execution is enabled.77    Returns a graph-mode function if graph execution is enabled.78    Args:79      *args:80      **kwargs: A mini-batch of inputs to Rate, passed on to `call()`.81    """82    if not self._built:83      with variable_scope.variable_scope(84          self._scope), self._construction_scope():85        self.build(*args, **kwargs)86      self._built = True87    return self.call(*args, **kwargs)88  @property89  def name(self):90    return self._name91  @property92  def variables(self):93    return self._vars94  def _add_variable(self, name, shape=None, dtype=None):95    """Private method for adding variables to the graph."""96    if self._built:97      raise RuntimeError("Can't call add_variable() except in build().")98    v = resource_variable_ops.ResourceVariable(99        lambda: array_ops.zeros(shape, dtype),100        trainable=False,101        validate_shape=True,102        name=name,103        collections=[ops.GraphKeys.LOCAL_VARIABLES])104    return v105  def call(self, values, denominator):106    """Computes the rate since the last call.107    Args:108      values: Tensor with the per-example value....

utils.py

Source:utils.py

...10            kwargs: {name:variable}11        """12        self._vars = {}13        for k, v in six.iteritems(kwargs):14            self._add_variable(k, v)15    def _add_variable(self, name, var):16        assert name not in self._vars17        self._vars[name] = var18    def __setattr__(self, name, var):19        if not name.startswith('_'):20            self._add_variable(name, var)21        else:22            # private attributes23            super(VariableHolder, self).__setattr__(name, var)24    def __getattr__(self, name):25        return self._vars[name]26    def all(self):27        """28        Returns:29            list of all variables30        """...

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