1. Problems Description

环境：Ubuntu16.04, Torch1.4, Torchvision0.5, Pytorch1.4, caffe2
笔者本意想把pytorch训练好的模型通过ONNX转换caffe2上部署，谁知在torch.save()函数时报了这个错误。
Through the investigation by Google and Pytorch offical website. NamedTensor functionality had been added from pytorch1.3, so if use pytorch1.2. this error will be dismissed, but I don’t want to go back to lower version.
So I reedit the _namedtensor_internals.py according to the following rules:

Step 1

#import torch
from torch._six import PY2
from collections import OrderedDict

Step 2

Disable the following function

#def assert_namedtensor_build(api_name):
#    if not torch._C._BUILD_NAMEDTENSOR:
#        raise RuntimeError('NYI: {} is experimental and a part '
#                           'of our named tensors project.'.format(api_name))

Step 3

#if torch._C._BUILD_NAMEDTENSOR and tensor.has_names():
if tensor.has_names():

Step 4

Disable the following row code

#assert_namedtensor_build(namer_api_name(inplace))

Then I got it.