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# Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Optional
import torch
from typing_extensions import override
from lightning_fabric.accelerators import Accelerator
from lightning_fabric.accelerators.xla import _XLA_AVAILABLE
from lightning_fabric.plugins import CheckpointIO, Precision, XLAPrecision
from lightning_fabric.plugins.io.xla import XLACheckpointIO
from lightning_fabric.strategies import _StrategyRegistry
from lightning_fabric.strategies.single_device import SingleDeviceStrategy
from lightning_fabric.utilities.types import _DEVICE
class SingleDeviceXLAStrategy(SingleDeviceStrategy):
"""Strategy for training on a single XLA device."""
def __init__(
self,
device: _DEVICE,
accelerator: Optional[Accelerator] = None,
checkpoint_io: Optional[XLACheckpointIO] = None,
precision: Optional[XLAPrecision] = None,
):
if not _XLA_AVAILABLE:
raise ModuleNotFoundError(str(_XLA_AVAILABLE))
if isinstance(device, torch.device):
# unwrap the `torch.device` in favor of `xla_device`
device = device.index
import torch_xla.core.xla_model as xm
super().__init__(
accelerator=accelerator,
device=xm.xla_device(device),
checkpoint_io=checkpoint_io,
precision=precision,
)
@property
@override
def checkpoint_io(self) -> XLACheckpointIO:
plugin = self._checkpoint_io
if plugin is not None:
assert isinstance(plugin, XLACheckpointIO)
return plugin
return XLACheckpointIO()
@checkpoint_io.setter
@override
def checkpoint_io(self, io: Optional[CheckpointIO]) -> None:
if io is not None and not isinstance(io, XLACheckpointIO):
raise TypeError(f"The XLA strategy can only work with the `XLACheckpointIO` plugin, found {io}")
self._checkpoint_io = io
@property
@override
def precision(self) -> XLAPrecision:
plugin = self._precision
if plugin is not None:
assert isinstance(plugin, XLAPrecision)
return plugin
return XLAPrecision("32-true")
@precision.setter
@override
def precision(self, precision: Optional[Precision]) -> None:
if precision is not None and not isinstance(precision, XLAPrecision):
raise TypeError(f"The XLA strategy can only work with the `XLAPrecision` plugin, found {precision}")
self._precision = precision
@classmethod
@override
def register_strategies(cls, strategy_registry: _StrategyRegistry) -> None:
strategy_registry.register("single_xla", cls, description=cls.__name__)
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