Source code for lightning.pytorch.plugins.precision.transformer_engine
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from lightning.fabric.plugins.precision.transformer_engine import TransformerEnginePrecision as FabricTEPrecision
from lightning.pytorch.plugins.precision.precision import Precision
[docs]class TransformerEnginePrecision(Precision, FabricTEPrecision):
"""Plugin for training with fp8 precision via nvidia's
`Transformer Engine <https://docs.nvidia.com/deeplearning/transformer-engine>`__.
.. warning:: This is an :ref:`experimental <versioning:Experimental API>` feature.
Args:
dtype: The weights dtype to use.
recipe: Recipe for the DelayedScaling
`configuration <https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/api/common.html#transformer_engine.common.recipe.DelayedScaling>`__.
In dict format or the dataclass format.
replace_layers: Whether to replace ``Linear`` and ``LayerNorm`` layers automatically with their Transformer
Engine alternatives. Note that they don't subclass the torch equivalents so checks like
``isinstance(l, torch.nn.Linear)`` will not pass.
.. note::
Support for FP8 in the linear layers with this plugin is currently limited to tensors
with shapes where the dimensions are divisible by 8 and 16 respectively. You might want to add padding to your
inputs to conform to this restriction.
"""