ImportError: TensorBoard logging requires TensorBoard version 1.15 or above
ImportError: TensorBoard logging requires TensorBoard version 1.15 or above
我遵循 pytorch.org 中的教程
出现错误:TensorBoard logging requires TensorBoard version 1.15 or above
,但我已经安装了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, input_to_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
我一开始用的是from torch.utils.tensorboard import SummaryWriter
,但是出现了和above.Then一样的错误,我用的是from tensorboardX import SummaryWriter
卸载 tensorflow
、tensorboard
、tensorboardx
和 tensorboard-plugin-wit
。
只安装tensorboard
,然后安装conda
。
如果这不起作用,请仅使用 tensorboard
重新创建 conda
环境。如果需要 tensorflow
也请提前安装。
编辑:
tensorboard-plugin-wit
是 tensorboard
的依赖项,在安装 tensorboard
本身时应根据其 pypi 描述自动安装。
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导入而不是从已安装的包导入。
所以我建议尝试重命名目录,看看是否有帮助。
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
conda install
和pip install
我都试过了,但是在ipynb文件中使用from torch.utils.tensorboard import SummaryWriter
还是出现这个错误。我检查了 not hasattr(tensorboard, '__version__') or LooseVersion(tensorboard.__version__) < LooseVersion('1.15')
,它们都是 False,这意味着它不会引发错误。
最后,我关闭了这个ipynb文件并重新启动它,它成功了。你应该试试这个,而不需要为重新安装你的 conda 环境而苦苦挣扎。
就我而言,遇到错误时我只有 Tensorboard 而没有 Tensorflow,所以我不得不:
conda uninstall tensorboard
- 这也删除了 PyTorch Lightning
conda install tensorboard
conda install -c conda-forge pytorch-lightning
我遵循 pytorch.org 中的教程
出现错误:TensorBoard logging requires TensorBoard version 1.15 or above
,但我已经安装了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, input_to_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
我一开始用的是from torch.utils.tensorboard import SummaryWriter
,但是出现了和above.Then一样的错误,我用的是from tensorboardX import SummaryWriter
卸载 tensorflow
、tensorboard
、tensorboardx
和 tensorboard-plugin-wit
。
只安装tensorboard
,然后安装conda
。
如果这不起作用,请仅使用 tensorboard
重新创建 conda
环境。如果需要 tensorflow
也请提前安装。
编辑:
tensorboard-plugin-wit
是 tensorboard
的依赖项,在安装 tensorboard
本身时应根据其 pypi 描述自动安装。
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导入而不是从已安装的包导入。
所以我建议尝试重命名目录,看看是否有帮助。
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
conda install
和pip install
我都试过了,但是在ipynb文件中使用from torch.utils.tensorboard import SummaryWriter
还是出现这个错误。我检查了 not hasattr(tensorboard, '__version__') or LooseVersion(tensorboard.__version__) < LooseVersion('1.15')
,它们都是 False,这意味着它不会引发错误。
最后,我关闭了这个ipynb文件并重新启动它,它成功了。你应该试试这个,而不需要为重新安装你的 conda 环境而苦苦挣扎。
就我而言,遇到错误时我只有 Tensorboard 而没有 Tensorflow,所以我不得不:
conda uninstall tensorboard
- 这也删除了 PyTorch Lightning
conda install tensorboard
conda install -c conda-forge pytorch-lightning