Add MLP and supporting fns #6
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DouglasOrr
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Apr 18, 2023
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| @format_docstring(unary_constraint_docstring) | ||
| class MLP(nn.Module): |
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Hesitant about calling this MLP if it only supports 2 layers (given the module is called modules not transformers).
| self, | ||
| hidden_size: int, | ||
| act_fn: nn.Module = GELU(), | ||
| expansion_factor: int = 4, |
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Likewise hesitant r.e. MLP on these defaults. FFN?
| f: Callable[..., Tensor], | ||
| output_scale: float, | ||
| grad_input_scale: float, | ||
| constraint: Optional[Callable[[float, float], float]] = gmean, |
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(Low) perhaps worth defining Constraint = Callable[[float, float], float] somewhere, as Optional[Constraint] might read better(?)
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