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:
Harry Mellor
2025-10-12 17:51:31 +01:00
committed by GitHub
parent 9bb38130cb
commit 8fcaaf6a16
944 changed files with 9490 additions and 10121 deletions

View File

@@ -19,7 +19,6 @@
"""PyTorch Idefics2 model."""
from collections.abc import Iterable
from typing import Optional
import torch
from torch import nn
@@ -77,7 +76,7 @@ class Idefics2VisionEmbeddings(nn.Module):
self,
pixel_values: torch.FloatTensor,
patch_attention_mask: torch.BoolTensor,
tgt_sizes: Optional[torch.IntTensor] = None,
tgt_sizes: torch.IntTensor | None = None,
) -> torch.Tensor:
batch_size, _, max_im_h, max_im_w = pixel_values.shape
target_dtype = self.patch_embedding.weight.dtype
@@ -124,7 +123,7 @@ class Idefics2VisionAttention(nn.Module):
def __init__(
self,
config: Idefics2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
) -> None:
@@ -185,7 +184,7 @@ class Idefics2VisionMLP(nn.Module):
def __init__(
self,
config: Idefics2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
) -> None:
@@ -220,7 +219,7 @@ class Idefics2EncoderLayer(nn.Module):
def __init__(
self,
config: Idefics2Config,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
) -> None:
@@ -275,9 +274,9 @@ class Idefics2Encoder(nn.Module):
def __init__(
self,
config: Idefics2Config,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
*,
num_hidden_layers_override: Optional[int] = None,
num_hidden_layers_override: int | None = None,
prefix: str = "",
use_data_parallel: bool = False,
) -> None:
@@ -326,9 +325,9 @@ class Idefics2VisionTransformer(nn.Module):
def __init__(
self,
config: Idefics2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
*,
num_hidden_layers_override: Optional[int] = None,
num_hidden_layers_override: int | None = None,
require_post_norm: bool = True,
prefix: str = "",
use_data_parallel: bool = False,
@@ -370,8 +369,8 @@ class Idefics2VisionTransformer(nn.Module):
def forward(
self,
pixel_values,
patch_attention_mask: Optional[torch.BoolTensor] = None,
tgt_sizes: Optional[torch.IntTensor] = None,
patch_attention_mask: torch.BoolTensor | None = None,
tgt_sizes: torch.IntTensor | None = None,
) -> torch.Tensor:
hidden_states = self.embeddings(
pixel_values=pixel_values,