b6d23b2e2dfc90480519ab52047006b1936fda02,keras/backend/tensorflow_backend.py,,batch_set_value,#Any#,865

Before Change

            `value` should be a Numpy array.
    """
    if tuples:
        ops = [tf.assign(x, np.asarray(value)) for x, value in tuples]
        get_session().run(ops)


def print_tensor(x, message=""):

After Change

        for x, value in tuples:
            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)

Instances