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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@@ -2,7 +2,6 @@
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from collections.abc import Iterable
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from typing import Optional
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import torch
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import torch.nn as nn
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@@ -224,7 +223,7 @@ class EagleDeepseekV3ForCausalLM(DeepseekV3ForCausalLM):
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input_ids: torch.Tensor,
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positions: torch.Tensor,
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hidden_states: torch.Tensor,
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inputs_embeds: Optional[torch.Tensor] = None,
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inputs_embeds: torch.Tensor | None = None,
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) -> tuple[torch.Tensor, torch.Tensor]:
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if inputs_embeds is not None:
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raise NotImplementedError(
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@@ -235,7 +234,7 @@ class EagleDeepseekV3ForCausalLM(DeepseekV3ForCausalLM):
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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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logits = self.logits_processor(self.lm_head, hidden_states)
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return logits
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