(sess=None)
Initializes all uninitialized variables in correct order. Initializers
    are only run for uninitialized variables, so it's safe to run this multiple
    times.
    Args:
        sess: session to use. Use default session if None.
Initializes all uninitialized variables in correct order. Initializers
    are only run for uninitialized variables, so it's safe to run this multiple
    times.
    Args:
        sess: session to use. Use default session if None.
Initializes all uninitialized variables in correct order . Initializers are only run for uninitialized variables so it s safe to run this multiple times . Args : sess : session to use . Use default session if None .
def initialize_all_variables(sess=None):
    """Initializes all uninitialized variables in correct order. Initializers
    are only run for uninitialized variables, so it's safe to run this multiple
    times.
    Args:
        sess: session to use. Use default session if None.
    """
    
    from tensorflow.contrib import graph_editor as ge
    def make_initializer(var):
        def f():
            return tf.assign(var, var.initial_value).op
        
        return f
    
    def make_noop():
        return tf.no_op()
    
    def make_safe_initializer(var):
        """Returns initializer op that only runs for uninitialized ops."""
        return tf.cond(tf.is_variable_initialized(var), make_noop,
                       make_initializer(var), name="safe_init_" + var.op.name).op
    
    if not sess:
        sess = tf.get_default_session()
    g = tf.get_default_graph()
    
    safe_initializers = {}
    for v in tf.global_variables():
        safe_initializers[v.op.name] = make_safe_initializer(v)
    
    # initializers access variable vaue through read-only value cached in
    # <varname>/read, so add control dependency to trigger safe_initializer
    # on read access
    for v in tf.global_variables():
        var_name = v.op.name
        var_cache = g.get_operation_by_name(var_name + "/read")
        ge.reroute.add_control_inputs(var_cache, [safe_initializers[var_name]])
    
    sess.run(tf.group(*safe_initializers.values()))
    
    # remove initializer dependencies to avoid slowing down future variable reads
    for v in tf.global_variables():
        var_name = v.op.name
        var_cache = g.get_operation_by_name(var_name + "/read")
        ge.reroute.remove_control_inputs(var_cache, [safe_initializers[var_name]])
def initialize_all_variables ( sess = None ) : from tensorflow . contrib import graph_editor as ge def make_initializer ( var ) : def f ( ) : return tf . assign ( var , var . initial_value ) . op return f def make_noop ( ) : return tf . no_op ( ) def make_safe_initializer ( var ) : """Returns initializer op that only runs for uninitialized ops.""" return tf . cond ( tf . is_variable_initialized ( var ) , make_noop , make_initializer ( var ) , name = "safe_init_" + var . op . name ) . op if not sess : sess = tf . get_default_session ( ) g = tf . get_default_graph ( ) safe_initializers = { } for v in tf . global_variables ( ) : safe_initializers [ v . op . name ] = make_safe_initializer ( v ) # initializers access variable vaue through read-only value cached in # <varname>/read, so add control dependency to trigger safe_initializer # on read access for v in tf . global_variables ( ) : var_name = v . op . name var_cache = g . get_operation_by_name ( var_name + "/read" ) ge . reroute . add_control_inputs ( var_cache , [ safe_initializers [ var_name ] ] ) sess . run ( tf . group ( * safe_initializers . values ( ) ) ) # remove initializer dependencies to avoid slowing down future variable reads for v in tf . global_variables ( ) : var_name = v . op . name var_cache = g . get_operation_by_name ( var_name + "/read" ) ge . reroute . remove_control_inputs ( var_cache , [ safe_initializers [ var_name ] ] )