[`Qwen 3.5 Moe`] Fix decorators

@@ -35,6 +35,7 @@     use_experts_implementation,     use_kernel_forward_from_hub,     use_kernel_func_from_hub_with_fallback,+    use_kernelized_func, ) from ...integrations.accelerate import force_accelerate_hooks from ...masking_utils import create_causal_mask, create_recurrent_attention_mask@@ -455,6 +456,9 @@ def torch_recurrent_gated_delta_rule(   @use_kernel_forward_from_hub("Qwen3_5GatedDeltaNet")+@use_kernelized_func(+    [torch_recurrent_gated_delta_rule, torch_chunk_gated_delta_rule, causal_conv1d_fn, causal_conv1d_update]+) class Qwen3_5MoeGatedDeltaNet(nn.Module):     def __init__(self, config: Qwen3_5MoeConfig, layer_idx: int):         super().__init__()

@@ -17,7 +17,7 @@ from huggingface_hub.dataclasses import strict  from ... import initialization as init-from ...integrations import use_kernel_forward_from_hub+from ...integrations import use_kernel_forward_from_hub, use_kernelized_func from ...modeling_layers import GradientCheckpointingLayer from ...modeling_outputs import BaseModelOutputWithPooling from ...modeling_utils import PreTrainedModel@@ -31,6 +31,10 @@     Qwen3_5TextRotaryEmbedding,     Qwen3_5VisionModel,     Qwen3_5VisionRotaryEmbedding,+    causal_conv1d_fn,+    causal_conv1d_update,+    torch_chunk_gated_delta_rule,+    torch_recurrent_gated_delta_rule, ) from ..qwen3_next.configuration_qwen3_next import Qwen3NextConfig from ..qwen3_next.modeling_qwen3_next import (@@ -161,8 +165,10 @@ class Qwen3_5MoeTextRotaryEmbedding(Qwen3_5TextRotaryEmbedding):     pass  -# Same GDN core as the dense variant, so it reuses the dense Hub kernel name. @use_kernel_forward_from_hub("Qwen3_5GatedDeltaNet")+@use_kernelized_func(+    [torch_recurrent_gated_delta_rule, torch_chunk_gated_delta_rule, causal_conv1d_fn, causal_conv1d_update]+) class Qwen3_5MoeGatedDeltaNet(Qwen3_5GatedDeltaNet):     pass