5f1388ca05428f0cf5e16a8114b0720267e315bd,deeppavlov/core/models/tf_model.py,TFModel,get_train_op,#TFModel#Any#Any#Any#Any#Any#Any#,69

Before Change

            else:
                variables_to_train = []
                for scope_name in learnable_scopes:
                    for var in tf.global_variables():
                        if scope_name in var.name:
                            variables_to_train.append(var)

            if optimizer is None:
                optimizer = tf.train.AdamOptimizer

            // For batch norm it is necessary to update running averages

After Change

            opt_scope = tf.variable_scope(optimizer_scope_name)
        with opt_scope:
            if learnable_scopes is None:
                variables_to_train = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES)
            else:
                variables_to_train = []
                for scope_name in learnable_scopes:
                    variables_to_train.extend(tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope=scope_name))

            if optimizer is None:
                optimizer = tf.train.AdamOptimizer

Instances