def print_var()

in web/helpers/export.py [0:0]


def print_var(sess, name, last=False):
    """
    Print a variable as a jsnet Tensor.
    """
    var = [v for v in tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES) if v.name == name][0]
    val = sess.run(var)
    print('    new jsnet.Tensor([%s], [%s])%s' % (','.join(str(x) for x in val.shape),
                                                  ','.join(str(x) % x for x in val.flatten()),
                                                  '' if last else ','))