bc779df8b7b0745eedaaaca281728bbcea118e08,keras/backend/tensorflow_backend.py,,batch_set_value,#Any#,893

Before Change

            value = np.asarray(value)
            tf_dtype = _convert_string_dtype(x.dtype.name.split("_")[0])
            assign_placeholder = tf.placeholder(tf_dtype, shape=value.shape)
            assign_ops.append(x.assign(assign_placeholder))
            feed_dict[assign_placeholder] = value
        get_session().run(assign_ops, feed_dict=feed_dict)

After Change

        for x, value in tuples:
            value = np.asarray(value)
            tf_dtype = _convert_string_dtype(x.dtype.name.split("_")[0])
            if hasattr(x, "_assign_placeholder"):
                assign_placeholder = x._assign_placeholder
                assign_op = x._assign_op
            else:
                assign_placeholder = tf.placeholder(tf_dtype, shape=value.shape)
                assign_op = x.assign(assign_placeholder)
                x._assign_placeholder = assign_placeholder
                x._assign_op = assign_op
            assign_ops.append(assign_op)
            feed_dict[assign_placeholder] = value
        get_session().run(assign_ops, feed_dict=feed_dict)

Instances