Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
@@ -3,7 +3,6 @@
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"""PyTorch MAMBA2 model."""
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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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from torch import nn
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@@ -44,9 +43,9 @@ class Mamba2DecoderLayer(nn.Module):
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def __init__(
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self,
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config: MambaConfig,
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model_config: Optional[ModelConfig] = None,
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cache_config: Optional[CacheConfig] = None,
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quant_config: Optional[QuantizationConfig] = None,
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model_config: ModelConfig | None = None,
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cache_config: CacheConfig | None = None,
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quant_config: QuantizationConfig | None = None,
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prefix: str = "",
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) -> None:
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super().__init__()
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@@ -76,7 +75,7 @@ class Mamba2DecoderLayer(nn.Module):
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def forward(
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self,
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hidden_states: torch.Tensor,
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residual: Optional[torch.Tensor],
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residual: torch.Tensor | None,
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**kwargs,
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):
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if residual is None:
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@@ -142,8 +141,8 @@ class Mamba2Model(nn.Module):
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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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intermediate_tensors: IntermediateTensors | None = None,
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inputs_embeds: torch.Tensor | None = None,
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) -> torch.Tensor:
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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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@@ -277,8 +276,8 @@ class Mamba2ForCausalLM(nn.Module, HasInnerState, IsAttentionFree):
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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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intermediate_tensors: IntermediateTensors | None = None,
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inputs_embeds: torch.Tensor | None = None,
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**kwargs,
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):
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hidden_states = self.backbone(
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