Remove unused imports (#26972)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>
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Lukas Geiger 2025-10-17 03:51:17 +01:00 committed by GitHub
parent 17c540a993
commit 4d055ef465
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8 changed files with 0 additions and 13 deletions

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@ -10,7 +10,6 @@ if TYPE_CHECKING:
from typing import TYPE_CHECKING from typing import TYPE_CHECKING
import torch import torch
import torch.distributed
import torch.nn.functional as F import torch.nn.functional as F
from einops import rearrange from einops import rearrange
from torch import nn from torch import nn
@ -41,9 +40,6 @@ from vllm.v1.attention.backends.linear_attn import LinearAttentionMetadata
if TYPE_CHECKING: if TYPE_CHECKING:
from vllm.attention.backends.abstract import AttentionBackend from vllm.attention.backends.abstract import AttentionBackend
import torch
import torch.distributed
class MiniMaxText01RMSNormTP(CustomOp): class MiniMaxText01RMSNormTP(CustomOp):
name = "MiniMaxText01RMSNormTP" name = "MiniMaxText01RMSNormTP"

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@ -848,7 +848,6 @@ class CompressedTensorsW8A8Fp8MoEMethod(CompressedTensorsMoEMethod):
# Property to determine if AITER is used # Property to determine if AITER is used
if self.rocm_aiter_moe_enabled: if self.rocm_aiter_moe_enabled:
from vllm.model_executor.layers.fused_moe.rocm_aiter_fused_moe import ( # noqa E501 from vllm.model_executor.layers.fused_moe.rocm_aiter_fused_moe import ( # noqa E501
rocm_aiter_fused_experts,
shuffle_weights, shuffle_weights,
) )

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@ -58,7 +58,6 @@ from .interfaces import MultiModalEmbeddings, SupportsMultiModal, SupportsTransc
from .utils import ( from .utils import (
AutoWeightsLoader, AutoWeightsLoader,
WeightsMapper, WeightsMapper,
flatten_bn,
init_vllm_registered_model, init_vllm_registered_model,
maybe_prefix, maybe_prefix,
) )

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@ -11,7 +11,6 @@ if TYPE_CHECKING:
import regex as re import regex as re
import torch import torch
import torch.distributed
from torch import nn from torch import nn
from transformers import MiniMaxConfig from transformers import MiniMaxConfig

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@ -31,13 +31,11 @@ if TYPE_CHECKING:
from .inputs import ( from .inputs import (
BatchedTensorInputs, BatchedTensorInputs,
MultiModalKwargsItem, MultiModalKwargsItem,
MultiModalKwargsItems,
MultiModalPlaceholderDict, MultiModalPlaceholderDict,
) )
else: else:
BatchedTensorInputs = Any BatchedTensorInputs = Any
MultiModalKwargsItem = Any MultiModalKwargsItem = Any
MultiModalKwargsItems = Any
MultiModalPlaceholderDict = Any MultiModalPlaceholderDict = Any
global_thread_pool = ThreadPoolExecutor( global_thread_pool = ThreadPoolExecutor(

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@ -21,11 +21,9 @@ from vllm.transformers_utils.utils import check_gguf_file
if TYPE_CHECKING: if TYPE_CHECKING:
from vllm.config import ModelConfig from vllm.config import ModelConfig
from vllm.lora.request import LoRARequest
from vllm.transformers_utils.tokenizer_base import TokenizerBase from vllm.transformers_utils.tokenizer_base import TokenizerBase
else: else:
ModelConfig = Any ModelConfig = Any
LoRARequest = Any
TokenizerBase = Any TokenizerBase = Any
logger = init_logger(__name__) logger = init_logger(__name__)

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@ -900,7 +900,6 @@ def _cuda_device_count_stateless(cuda_visible_devices: str | None = None) -> int
# c1cd946818442aca8c7f812b16d187ce1586c3bc/ # c1cd946818442aca8c7f812b16d187ce1586c3bc/
# torch/cuda/__init__.py#L831C1-L831C17 # torch/cuda/__init__.py#L831C1-L831C17
import torch.cuda import torch.cuda
import torch.version
from vllm.platforms import current_platform from vllm.platforms import current_platform

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@ -7,7 +7,6 @@ from collections.abc import Callable
from typing import Any, TypeVar from typing import Any, TypeVar
import torch import torch
import torch.distributed
import torch.nn as nn import torch.nn as nn
import vllm.envs as envs import vllm.envs as envs