Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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@@ -28,7 +28,6 @@
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from collections.abc import Iterable
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from itertools import islice
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from typing import Optional, Union
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import torch
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import torch.nn as nn
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@@ -64,9 +63,9 @@ class MiMoModel(Qwen2Model):
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self,
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input_ids: torch.Tensor,
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positions: torch.Tensor,
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intermediate_tensors: Optional[IntermediateTensors] = None,
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inputs_embeds: Optional[torch.Tensor] = None,
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) -> Union[torch.Tensor, IntermediateTensors]:
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intermediate_tensors: IntermediateTensors | None = None,
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inputs_embeds: torch.Tensor | None = None,
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) -> torch.Tensor | IntermediateTensors:
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if get_pp_group().is_first_rank:
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if inputs_embeds is not None:
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hidden_states = inputs_embeds
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@@ -185,7 +184,7 @@ class MiMoForCausalLM(Qwen2ForCausalLM, nn.Module):
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def compute_logits(
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self,
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hidden_states: torch.Tensor,
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) -> Optional[torch.Tensor]:
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) -> torch.Tensor | None:
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hidden_states = self.model.norm(hidden_states)
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logits = self.logits_processor(self.lm_head, hidden_states)
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return logits
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