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def install_xla(upgrade: bool = False):
"""
Helper function to install appropriate xla wheels based on the `torch` version in Google Colaboratory.
Args:
upgrade (`bool`, *optional*, defaults to `False`):
Whether to upgrade `torch` and install the latest `torch_xla` wheels.
Example:
```python
>>> from accelerate.utils import install_xla
>>> install_xla(upgrade=True)
```
"""
in_colab = False
if "IPython" in sys.modules:
in_colab = "google.colab" in str(sys.modules["IPython"].get_ipython())
if in_colab:
if upgrade:
torch_install_cmd = ["pip", "install", "-U", "torch"]
subprocess.run(torch_install_cmd, check=True)
# get the current version of torch
torch_version = importlib.metadata.version("torch")
torch_version_trunc = torch_version[: torch_version.rindex(".")]
xla_wheel = f"https://storage.googleapis.com/tpu-pytorch/wheels/colab/torch_xla-{torch_version_trunc}-cp37-cp37m-linux_x86_64.whl"
xla_install_cmd = ["pip", "install", xla_wheel]
subprocess.run(xla_install_cmd, check=True)
else:
raise RuntimeError("`install_xla` utility works only on google colab.")
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