Source : Here
Very often people working on Google Colab, try installing torch-xla using the following command:
!pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl
EDIT:
As of 14th September 2021, the torch-xla-1.9 wheel has been fixed, as reported in the GitHub Issue tab (#3121).
So, now anyone can just use
!pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.9-cp37-cp37m-linux_x86_64.whl
it without any errors!!
But if errors like the one mentioned below occur again, you know what to do!
And when trying to import torch_xla, we get the following error:
--------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-3-5bff978a6cc6> in <module>()
2 import torch.nn as nn
3 import torchvision
----> 4 import torch_xla
5 import torch_xla.core.xla_model as xm
6 import torch_xla.debug.metrics as met
/usr/local/lib/python3.7/dist-packages/torch_xla/__init__.py in <module>()
99 from ._patched_functions import _apply_patches
100 from .version import __version__
--> 101 import _XLAC
102
103
ImportError: /usr/local/lib/python3.7/dist-packages/_XLAC.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZNK2at10TensorBase8data_ptrIN3c107complexIfEEEEPT_v
How do we deal with the error?
As of now, it seems that we can get rid of this error by simply downgrading PyTorch to torch-1.8.2+cpu
To match the versions, we need to install torch-xla-1.8
!pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.8-cp37-cp37m-linux_x86_64.whl
After this, importing torch_xla, gives
WARNING:root:Waiting for TPU to be start up with version pytorch-1.8
WARNING:root:Waiting for TPU to be start up with version pytorch-1.8
WARNING:root:TPU has started up successfully with version pytorch-1.8
References
Originally published on Medium.