ImportError：TensorBoard日志记录需要TensorBoard版本1.15或更高版本

如何解决ImportError：TensorBoard日志记录需要TensorBoard版本1.15或更高版本

我遵循pytorch.org中的教程 发生错误：TensorBoard logging requires TensorBoard version 1.15 or above，但是我已经安装了TensorBoard。 这是代码：

#from torch.utils.tensorboard import SummaryWriter
from tensorboardX import SummaryWriter
writer = SummaryWriter('runs/fashion_mnist_experiment_1')
#get some random training images
dataiter = iter(trainloader)
images,labels = dataiter.next()
#create grid of images
img_grid = torchvision.utils.make_grid(images)
matplotlib_imshow(img_grid,one_channel=True)
writer.add_image('four_fashion_images',img_grid)
writer.add_graph(net,images)
writer.close()

错误：

ImportError                               Traceback (most recent call last)
<ipython-input-12-d38808675cb4> in <module>
----> 1 writer.add_graph(net,images)
      2 writer.close()

~\anaconda3\envs\torch2\lib\site-packages\tensorboardX\writer.py in add_graph(self,model,input_to_model,verbose)
    791 
    792         """
--> 793         from torch.utils.tensorboard._pytorch_graph import graph
    794         self._get_file_writer().add_graph(graph(model,verbose))
    795 

~\anaconda3\envs\torch2\lib\site-packages\torch\utils\tensorboard\__init__.py in <module>
      2 from distutils.version import LooseVersion
      3 if not hasattr(tensorboard,'__version__') or LooseVersion(tensorboard.__version__) < LooseVersion('1.15'):
----> 4     raise ImportError('TensorBoard logging requires TensorBoard version 1.15 or above')
      5 del LooseVersion
      6 del tensorboard

ImportError: TensorBoard logging requires TensorBoard version 1.15 or above

环境：

tensorboard               2.3.0                    pypi_0    pypi
tensorboard-plugin-wit    1.7.0                    pypi_0    pypi
tensorboardx              2.1                      pypi_0    pypi
tensorflow                1.2.1                    py36_0    defaults
pytorch                   1.6.0           py3.6_cuda102_cudnn7_0    pytorch
torchvision               0.7.0                py36_cu102    pytorch
future                    0.18.2                   py36_1    defaults
protobuf                  3.12.3           py36h33f27b4_0    defaults

我一开始使用from torch.utils.tensorboard import SummaryWriter，但是发生与上述相同的错误。然后我使用from tensorboardX import SummaryWriter

解决方法

我的问题是我工作的目录被命名为 tensorboard，所以它试图从当前目录而不是从安装的包导入。 所以我建议尝试重命名目录，看看它是否有帮助。

,

卸载tensorflow，tensorboard，tensorboardx和tensorboard-plugin-wit。

此后仅安装{strong> tensorboard和conda。

如果这不起作用，请仅使用conda重新创建tensorboard环境。如果还需要tensorflow，请事先安装。

,

做

conda uninstall tensorflow
conda uninstall tensorboard
conda uninstall tensorboardx
conda uninstall tensorboard-plugin-wit
conda uninstall cloud-tpu-client

pip uninstall tensorflow
pip uninstall tensorboard
pip uninstall tensorboardx
pip uninstall tensorboard-plugin-wit
pip uninstall cloud-tpu-client

然后

conda install tensorboard