使用GoogleColab的FastAI库v1

您正在使用火炬以前的版本torch-0.3.0.post4它不具有as_tensor.

所以你可以使用其他版本的火炬,就像torch-0.4.1这种方法一样.

运行以下代码段后:

!pip3 install fastai
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
import cv2
from os import path
from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())
accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'
# !pip install -q http://download.pytorch.org/whl/{accelerator}/torch-0.3.0.post4-{platform}-linux_x86_64.whl torchvision
!pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp36-cp36m-linux_x86_64.whl

import torch
!pip install Pillow==4.1.1
!pip install image
%matplotlib inline

您可以使用 :

from fastai.imports import *