mirror of https://github.com/hpcaitech/ColossalAI
31 lines
919 B
Python
31 lines
919 B
Python
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from typing import Optional, Tuple, Union
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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from ..generation import generate
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from .actor import Actor
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class LM(Actor):
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"""
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Language model base class.
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Args:
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model (nn.Module): Language Model.
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lora_rank (int): LoRA rank.
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lora_train_bias (str): LoRA bias training mode.
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"""
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def __init__(self, model: nn.Module, lora_rank: int = 0, lora_train_bias: str = 'none') -> None:
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super().__init__(model=model, lora_rank=lora_rank, lora_train_bias=lora_train_bias)
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def forward(self, sequences: torch.LongTensor, attention_mask: Optional[torch.Tensor] = None) -> torch.Tensor:
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"""Returns output log probs
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"""
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output = self.model(sequences, attention_mask=attention_mask)
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logits = output['logits']
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log_probs = F.log_softmax(logits, dim=-1)
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return log_probs
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