rfho/utils.py
def assign(self, value, use_locking=False):
        """
        Behaves as tf.Variable.assign, building assign ops for the underlying (original) Variables


        :param value: rank-1 tensor. Assumes it has the same structure as the tensor contained in the object.
        :param use_locking: (optional) see use_locking in `tf.Variables.assign`
        :return: A list of `tf.Variables.assign` ops.
        """
        assign_ops = [
            wsr(v.assign(reshape(value), use_locking=use_locking)) for v, reshape in self.chunks_info_dict.items()
        ]
        return tf.group(*assign_ops)

        Behaves as tf.Variable.assign, building assign ops for the underlying (original) Variables


        :param value: rank-1 tensor. Assumes it has the same structure as the tensor contained in the object.
        :param use_locking: (optional) see use_locking in `tf.Variables.assign`
        :return: A list of `tf.Variables.assign` ops.
        
Behaves as tf.Variable.assign, building assign ops for the underlying (original) Variables
Behaves as tf . Variable . assign building assign ops for the underlying ( original ) Variables
def assign(self, value, use_locking=False):
        assign_ops = [
            wsr(v.assign(reshape(value), use_locking=use_locking)) for v, reshape in self.chunks_info_dict.items()
        ]
        return tf.group(*assign_ops)
def assign ( self , value , use_locking = False ) : assign_ops = [ wsr ( v . assign ( reshape ( value ) , use_locking = use_locking ) ) for v , reshape in self . chunks_info_dict . items ( ) ] return tf . group ( * assign_ops )
Behaves as tf.Variable.assign, building assign ops for the underlying (original) Variables
Behaves as tf . Variable . assign building assign ops for the underlying ( original ) Variables
"""
        Behaves as tf.Variable.assign, building assign ops for the underlying (original) Variables


        :param value: rank-1 tensor. Assumes it has the same structure as the tensor contained in the object.
        :param use_locking: (optional) see use_locking in `tf.Variables.assign`
        :return: A list of `tf.Variables.assign` ops.
        """
A list of `tf.Variables.assign` ops.
A list of ` tf . Variables . assign ` ops .
self
value
rank-1 tensor. Assumes it has the same structure as the tensor contained in the object.
rank - 1 tensor . Assumes it has the same structure as the tensor contained in the object .
use_locking
(optional) see use_locking in `tf.Variables.assign`
( optional ) see use_locking in ` tf . Variables . assign `