Skip to content

Remove expired deprecation cycles #50037

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Cyrilvallez merged 5 commits into from
Oct 29, 2026
+53 −173
Merged

Remove expired deprecation cycles #50037

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
9c908f0
remove
Cyrilvallez Oct 27, 2026
ec8a337
Merge branch 'main' into more-deprec
Cyrilvallez Oct 29, 2026
dde2524
fix
Cyrilvallez Oct 29, 2026
47fcb11
remove the stuff that was deprecated but not removed......
Cyrilvallez Oct 29, 2026
0ec6b7c
fix more
Cyrilvallez Oct 29, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 0 additions & 3 deletions src/transformers/integrations/deepgemm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,6 @@
import torch

from ..utils import logging
from ..utils.deprecation import deprecate_kwarg
from ..utils.import_utils import (
is_kernels_available,
maybe_import_error,
Expand Down Expand Up @@ -577,14 +576,12 @@ def _combine_routed_output(
# ── Public dispatches ──────────────────────────────────────────────────────────


@deprecate_kwarg("output_dtype", version="v5.16")
def deepgemm_fp8_fp4_linear(
input: torch.Tensor,
weight: torch.Tensor,
weight_scale_inv: torch.Tensor,
bias: torch.Tensor | None = None,
block_size: tuple[int, int] | None = None,
output_dtype: torch.dtype | None = None,
activation_scale: torch.Tensor | None = None,
) -> torch.Tensor:
"""End-to-end DeepGEMM linear: per-token activation quant + FP8/FP4 matmul.
Expand Down
2 changes: 0 additions & 2 deletions src/transformers/models/hunyuan_vl/modeling_hunyuan_vl.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,6 @@
from ...modeling_utils import ALL_ATTENTION_FUNCTIONS, PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TransformersKwargs, auto_docstring, can_return_tuple, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import (
accepts_precomputed_kwargs,
get_max_seqlen,
Expand Down Expand Up @@ -352,7 +351,6 @@ def __init__(self, config: HunYuanVLVisionConfig):
self.o_proj = nn.Linear(self.num_heads * self.head_dim, self.embed_dim, bias=True)
self.is_causal = False

@deprecate_kwarg("hidden_state", new_name="hidden_states", version="v5.20")
def forward(
self,
hidden_states: torch.Tensor,
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/idefics2/modeling_idefics2.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,6 @@
from ...modeling_utils import ALL_ATTENTION_FUNCTIONS, PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TransformersKwargs, auto_docstring, can_return_tuple, logging, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import merge_with_config_defaults
from ...utils.output_capturing import capture_outputs
from ..auto import AutoModel
Expand Down Expand Up @@ -885,7 +884,6 @@ def get_image_features(
image_batch_size would be 7 when num_images_per_sample=[1, 3, 1, 2] and max_num_images would be 3.
"""
)
@deprecate_kwarg("image_hidden_states", version="v5.20", new_name="mm_encoder_outputs")
def forward(
self,
input_ids: torch.LongTensor | None = None,
Expand Down Expand Up @@ -1018,7 +1016,6 @@ def get_image_features(

@can_return_tuple
@auto_docstring
@deprecate_kwarg("image_hidden_states", version="v5.20", new_name="mm_encoder_outputs")
def forward(
self,
input_ids: torch.LongTensor | None = None,
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/idefics3/modeling_idefics3.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,6 @@
from ...modeling_utils import ALL_ATTENTION_FUNCTIONS, PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TransformersKwargs, auto_docstring, can_return_tuple, logging, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import merge_with_config_defaults
from ...utils.output_capturing import capture_outputs
from ..auto import AutoModel
Expand Down Expand Up @@ -627,7 +626,6 @@ def get_image_features(
image_batch_size would be 7 when num_images_per_sample=[1, 3, 1, 2] and max_num_images would be 3.
"""
)
@deprecate_kwarg("image_hidden_states", version="v5.20", new_name="mm_encoder_outputs")
def forward(
self,
input_ids: torch.LongTensor | None = None,
Expand Down Expand Up @@ -760,7 +758,6 @@ def get_image_features(

@can_return_tuple
@auto_docstring
@deprecate_kwarg("image_hidden_states", version="v5.20", new_name="mm_encoder_outputs")
def forward(
self,
input_ids: torch.LongTensor | None = None,
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/llava_next_video/modeling_llava_next_video.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,6 @@
from ...modeling_utils import PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TransformersKwargs, auto_docstring, logging, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import can_return_tuple, merge_with_config_defaults
from ..auto import AutoModel
from .configuration_llava_next_video import LlavaNextVideoConfig
Expand Down Expand Up @@ -594,7 +593,6 @@ def forward(

@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring(
custom_intro="Obtains video last hidden states from the vision tower and apply multimodal projection."
)
Expand Down Expand Up @@ -821,7 +819,6 @@ def forward(

@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring
def get_video_features(
self,
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/llava_next_video/modular_llava_next_video.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,6 @@
from ...modeling_utils import slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import auto_docstring, logging, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import can_return_tuple, merge_with_config_defaults
from ..auto import AutoConfig
from ..llava_next.modeling_llava_next import (
Expand Down Expand Up @@ -294,7 +293,6 @@ def get_image_features(

@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring(
custom_intro="Obtains video last hidden states from the vision tower and apply multimodal projection."
)
Expand Down Expand Up @@ -475,7 +473,6 @@ def forward(
class LlavaNextVideoForConditionalGeneration(LlavaNextForConditionalGeneration):
@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring
def get_video_features(
self,
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/llava_onevision/modeling_llava_onevision.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,6 @@
from ...modeling_utils import PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TransformersKwargs, auto_docstring, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import can_return_tuple, merge_with_config_defaults
from ..auto import AutoModel
from .configuration_llava_onevision import LlavaOnevisionConfig
Expand Down Expand Up @@ -556,7 +555,6 @@ def forward(

@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring(
custom_intro="Obtains video last hidden states from the vision tower, apply multimodal projection and pooling."
)
Expand Down Expand Up @@ -785,7 +783,6 @@ def forward(

@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring
def get_video_features(
self,
Expand Down
2 changes: 0 additions & 2 deletions src/transformers/models/llava_onevision/modular_llava_onevision.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,6 @@
from ...modeling_utils import slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TensorType, auto_docstring, logging
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import can_return_tuple, merge_with_config_defaults
from ..llava_next.image_processing_llava_next import LlavaNextImageProcessor, LlavaNextImageProcessorKwargs
from ..llava_next.image_processing_pil_llava_next import LlavaNextImageProcessorPil
Expand Down Expand Up @@ -560,7 +559,6 @@ def get_image_features(

@merge_with_config_defaults
@can_return_tuple
@deprecate_kwarg("pixel_values", version="v5.22.0", new_name="pixel_values_videos")
@auto_docstring(
custom_intro="Obtains video last hidden states from the vision tower, apply multimodal projection and pooling."
)
Expand Down
2 changes: 0 additions & 2 deletions src/transformers/models/minimax_m3_vl/modeling_minimax_m3_vl.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,6 @@
from ...modeling_utils import ALL_ATTENTION_FUNCTIONS, PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import ModelOutput, TransformersKwargs, auto_docstring, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import can_return_tuple, merge_with_config_defaults
from ...utils.import_utils import is_torchdynamo_compiling
from ...utils.output_capturing import OutputRecorder, capture_outputs
Expand Down Expand Up @@ -1174,7 +1173,6 @@ def __init__(self, config: MiniMaxM3VLVisionConfig):
@merge_with_config_defaults
@capture_outputs
@auto_docstring
@deprecate_kwarg("image_grid_thw", new_name="grid_thw", version="5.16.0")
def forward(
self, pixel_values: torch.Tensor, grid_thw: torch.Tensor, **kwargs: Unpack[TransformersKwargs]
) -> BaseModelOutputWithPooling:
Expand Down
2 changes: 0 additions & 2 deletions src/transformers/models/minimax_m3_vl/modular_minimax_m3_vl.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,6 @@
from ...modeling_utils import ALL_ATTENTION_FUNCTIONS, PreTrainedModel, slice_logits_to_keep
from ...processing_utils import Unpack
from ...utils import TransformersKwargs, auto_docstring, logging, torch_compilable_check
from ...utils.deprecation import deprecate_kwarg
from ...utils.generic import can_return_tuple, merge_with_config_defaults
from ...utils.import_utils import is_torchdynamo_compiling
from ...utils.output_capturing import capture_outputs
Expand Down Expand Up @@ -879,7 +878,6 @@ def __init__(self, config: MiniMaxM3VLVisionConfig):
@merge_with_config_defaults
@capture_outputs
@auto_docstring
@deprecate_kwarg("image_grid_thw", new_name="grid_thw", version="5.16.0")
def forward(
self, pixel_values: torch.Tensor, grid_thw: torch.Tensor, **kwargs: Unpack[TransformersKwargs]
) -> BaseModelOutputWithPooling:
Expand Down
Loading
Loading