tf.contrib.framework.get_graph_from_inputs()

tf.contrib.framework.get_graph_from_inputs(op_input_list, graph=None) Returns the appropriate graph to use for the given inputs

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tf.contrib.framework.model_variable()

tf.contrib.framework.model_variable(*args, **kwargs) Gets an existing model variable with these parameters or creates a new one

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tf.is_non_decreasing()

tf.is_non_decreasing(x, name=None) Returns True if x is non-decreasing. Elements

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tf.contrib.framework.VariableDeviceChooser

class tf.contrib.framework.VariableDeviceChooser Device chooser for variables. When using a parameter

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tf.contrib.framework.assign_from_values()

tf.contrib.framework.assign_from_values(var_names_to_values) Creates an assignment operation from a given mapping.

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tf.contrib.framework.get_or_create_global_step()

tf.contrib.framework.get_or_create_global_step(graph=None) Returns and create (if necessary) the global step variable.

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tf.contrib.framework.deprecated()

tf.contrib.framework.deprecated(date, instructions) Decorator for marking functions or methods deprecated. This

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tf.contrib.framework.assign_from_checkpoint()

tf.contrib.framework.assign_from_checkpoint(model_path, var_list) Creates an operation to assign specific variables from a checkpoint

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tf.contrib.framework.get_model_variables()

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

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tf.contrib.framework.get_variables_by_name()

tf.contrib.framework.get_variables_by_name(given_name, scope=None) Gets the list of variables that were given that name.

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