30 lines
821 B
Python
30 lines
821 B
Python
import torch
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import Project_Model.Libs.Embedder as Embedder
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from ..Classes import DeToken
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class NanoSocratEncoder(torch.nn.Module):
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def __init__(
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self,
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encoder_embedder: Embedder.NanoSocratesEmbedder,
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encoder_layers: torch.nn.Sequential,
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detokener: DeToken
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) -> None:
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super().__init__()
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self.__encoder_embedder = encoder_embedder
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self.__encoder = encoder_layers
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self.__detokener = detokener
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def forward(self, args: tuple[torch.Tensor, torch.Tensor]):
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encoder_embedder_input, src_padding = args
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encoder_tensor = self.__encoder_embedder(encoder_embedder_input)
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encoder_output, _ = self.__encoder((encoder_tensor, src_padding))
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logits: torch.Tensor = self.__detokener(encoder_output)
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return logits
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