A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 8, 12:30 UTC
[Chore] Move `BaseRenderer` to `base.py` (#34308)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Cyrus Leung committed
Feb 11, 2026 at 16:29 UTC
675a22ed66c4a34be7d2a60cac77078578f49892
8 files changed
+7
-7
vllm/renderers/__init__.py
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@@ -1,8 +1,8 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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+from .base import BaseRenderer
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from .params import ChatParams, TokenizeParams, merge_kwargs
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-from .protocol import BaseRenderer
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from .registry import RendererRegistry, renderer_from_config
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__all__ = [
vllm/renderers/base.py
renamed
vllm/renderers/deepseek_v32.py
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@@ -14,10 +14,10 @@ from vllm.tokenizers import cached_get_tokenizer
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from vllm.tokenizers.deepseek_v32 import DeepseekV32Tokenizer
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from ..tokenizers.hf import HfTokenizer
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+from .base import BaseRenderer
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from .inputs import DictPrompt
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from .inputs.preprocess import parse_dec_only_prompt
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from .params import ChatParams
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-from .protocol import BaseRenderer
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logger = init_logger(__name__)
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vllm/renderers/grok2.py
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@@ -13,10 +13,10 @@ from vllm.logger import init_logger
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from vllm.tokenizers import cached_get_tokenizer
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from vllm.tokenizers.grok2 import Grok2Tokenizer
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+from .base import BaseRenderer
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from .inputs import DictPrompt
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from .inputs.preprocess import parse_dec_only_prompt
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from .params import ChatParams
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-from .protocol import BaseRenderer
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logger = init_logger(__name__)
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vllm/renderers/hf.py
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@@ -32,10 +32,10 @@ from vllm.transformers_utils.chat_templates import get_chat_template_fallback_pa
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from vllm.transformers_utils.processor import cached_get_processor
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from vllm.utils.func_utils import supports_kw
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+from .base import BaseRenderer
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from .inputs import DictPrompt
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from .inputs.preprocess import parse_dec_only_prompt
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from .params import ChatParams
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-from .protocol import BaseRenderer
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if TYPE_CHECKING:
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from vllm.multimodal.inputs import MultiModalDataDict, MultiModalUUIDDict
vllm/renderers/mistral.py
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@@ -15,10 +15,10 @@ from vllm.tokenizers import cached_get_tokenizer
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from vllm.tokenizers.mistral import MistralTokenizer
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from vllm.utils.async_utils import make_async
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+from .base import BaseRenderer
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from .inputs import DictPrompt
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from .inputs.preprocess import parse_dec_only_prompt
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from .params import ChatParams
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-from .protocol import BaseRenderer
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logger = init_logger(__name__)
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vllm/renderers/registry.py
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@@ -7,7 +7,7 @@ from vllm.logger import init_logger
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from vllm.tokenizers.registry import tokenizer_args_from_config
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from vllm.utils.import_utils import resolve_obj_by_qualname
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-from .protocol import BaseRenderer
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+from .base import BaseRenderer
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if TYPE_CHECKING:
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from vllm.config import ModelConfig
vllm/renderers/terratorch.py
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@@ -12,10 +12,10 @@ from vllm.entrypoints.chat_utils import (
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from vllm.logger import init_logger
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from vllm.tokenizers import TokenizerLike
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+from .base import BaseRenderer
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from .inputs import DictPrompt
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from .inputs.preprocess import parse_dec_only_prompt
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from .params import ChatParams
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-from .protocol import BaseRenderer
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logger = init_logger(__name__)
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