tf.contrib.framework.reduce_sum_n()

tf.contrib.framework.reduce_sum_n(tensors, name=None) Reduce tensors to a scalar sum. This reduces

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tf.contrib.framework.with_shape()

tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If

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tf.contrib.framework.add_model_variable()

tf.contrib.framework.add_model_variable(var) Adds a variable to the GraphKeys.MODEL_VARIABLES collection.

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tf.contrib.framework.get_local_variables()

tf.contrib.framework.get_local_variables(scope=None, suffix=None) Gets the list of model variables, filtered by scope and/or suffix

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tf.contrib.framework.arg_scoped_arguments()

tf.contrib.framework.arg_scoped_arguments(func) Returns the list kwargs that arg_scope can set for a func.

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tf.contrib.framework.VariableDeviceChooser.

tf.contrib.framework.VariableDeviceChooser.__call__(op)

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tf.contrib.framework.assign_from_checkpoint_fn()

tf.contrib.framework.assign_from_checkpoint_fn(model_path, var_list, ignore_missing_vars=False, reshape_variables=False) Returns

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tf.is_strictly_increasing()

tf.is_strictly_increasing(x, name=None) Returns True if x is strictly increasing.

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tf.contrib.framework.get_variables_to_restore()

tf.contrib.framework.get_variables_to_restore(include=None, exclude=None) Gets the list of the variables to restore.

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tf.contrib.framework.arg_scope()

tf.contrib.framework.arg_scope(list_ops_or_scope, **kwargs) Stores the default arguments for the given set of list_ops.

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