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 ','))