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# FP8
Below are functions and classes relative to the underlying FP8 implementation
## FP8RecipeKwargs[[accelerate.utils.FP8RecipeKwargs]]
Deprecated. Please use one of the proper FP8 recipe kwargs classes such as `TERecipeKwargs` or `MSAMPRecipeKwargs`
instead.
## convert_model[[accelerate.utils.convert_model]]
Recursively converts the linear and layernorm layers of a model to their `transformers_engine` counterpart.
## has_transformer_engine_layers[[accelerate.utils.has_transformer_engine_layers]]
Returns whether a given model has some `transformer_engine` layer or not.
## contextual_fp8_autocast[[accelerate.utils.contextual_fp8_autocast]]
Wrapper for a model's forward method to apply FP8 autocast. Is context aware, meaning that by default it will
disable FP8 autocast during eval mode, which is generally better for more accurate metrics.
## apply_fp8_autowrap[[accelerate.utils.apply_fp8_autowrap]]
Applies FP8 context manager to the model's forward method

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