[Chore] Separate out vllm.utils.import_utils

tests/model_executor/model_loader/tensorizer_loader/test_tensorizer.py

@@ -27,7 +27,7 @@
 from vllm.model_executor.model_loader.tensorizer_loader import (
     BLACKLISTED_TENSORIZER_ARGS,
 )
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 from .conftest import DummyExecutor, assert_from_collective_rpc
 

tests/utils_/test_import_utils.py

@@ -0,0 +1,46 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import pytest
+
+from vllm.utils.import_utils import PlaceholderModule
+
+
+def _raises_module_not_found():
+    return pytest.raises(ModuleNotFoundError, match="No module named")
+
+
+def test_placeholder_module_error_handling():
+    placeholder = PlaceholderModule("placeholder_1234")
+
+    with _raises_module_not_found():
+        int(placeholder)
+
+    with _raises_module_not_found():
+        placeholder()
+
+    with _raises_module_not_found():
+        _ = placeholder.some_attr
+
+    with _raises_module_not_found():
+        # Test conflict with internal __name attribute
+        _ = placeholder.name
+
+    # OK to print the placeholder or use it in a f-string
+    _ = repr(placeholder)
+    _ = str(placeholder)
+
+    # No error yet; only error when it is used downstream
+    placeholder_attr = placeholder.placeholder_attr("attr")
+
+    with _raises_module_not_found():
+        int(placeholder_attr)
+
+    with _raises_module_not_found():
+        placeholder_attr()
+
+    with _raises_module_not_found():
+        _ = placeholder_attr.some_attr
+
+    with _raises_module_not_found():
+        # Test conflict with internal __module attribute
+        _ = placeholder_attr.module

tests/utils_/test_utils.py

@@ -24,7 +24,6 @@
 from vllm.utils import (
     FlexibleArgumentParser,
     MemorySnapshot,
-    PlaceholderModule,
     bind_kv_cache,
     common_broadcastable_dtype,
     current_stream,
@@ -475,46 +474,6 @@ def test_common_broadcastable_dtype(dtypes, expected_result):
     assert common_broadcastable_dtype(dtypes) == expected_result
 
 
-def test_placeholder_module_error_handling():
-    placeholder = PlaceholderModule("placeholder_1234")
-
-    def build_ctx():
-        return pytest.raises(ModuleNotFoundError, match="No module named")
-
-    with build_ctx():
-        int(placeholder)
-
-    with build_ctx():
-        placeholder()
-
-    with build_ctx():
-        _ = placeholder.some_attr
-
-    with build_ctx():
-        # Test conflict with internal __name attribute
-        _ = placeholder.name
-
-    # OK to print the placeholder or use it in a f-string
-    _ = repr(placeholder)
-    _ = str(placeholder)
-
-    # No error yet; only error when it is used downstream
-    placeholder_attr = placeholder.placeholder_attr("attr")
-
-    with build_ctx():
-        int(placeholder_attr)
-
-    with build_ctx():
-        placeholder_attr()
-
-    with build_ctx():
-        _ = placeholder_attr.some_attr
-
-    with build_ctx():
-        # Test conflict with internal __module attribute
-        _ = placeholder_attr.module
-
-
 def test_model_specification(
     parser_with_config, cli_config_file, cli_config_file_with_model
 ):

tests/v1/attention/utils.py

@@ -20,7 +20,7 @@
     VllmConfig,
 )
 from vllm.config.model import ModelDType
-from vllm.utils import resolve_obj_by_qualname
+from vllm.utils.import_utils import resolve_obj_by_qualname
 from vllm.v1.attention.backends.utils import (
     AttentionMetadataBuilder,
     CommonAttentionMetadata,

vllm/assets/audio.py

@@ -8,7 +8,7 @@
 
 import numpy.typing as npt
 
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 from .base import VLLM_S3_BUCKET_URL, get_vllm_public_assets
 

vllm/assets/video.py

@@ -10,7 +10,7 @@
 from huggingface_hub import hf_hub_download
 from PIL import Image
 
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 from .base import get_cache_dir
 

vllm/attention/backends/registry.py

@@ -4,7 +4,7 @@
 
 import enum
 
-from vllm.utils import resolve_obj_by_qualname
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 
 class _Backend(enum.Enum):

vllm/attention/selector.py

@@ -13,7 +13,8 @@
 from vllm.attention.backends.abstract import AttentionBackend
 from vllm.attention.backends.registry import _Backend, backend_name_to_enum
 from vllm.logger import init_logger
-from vllm.utils import STR_BACKEND_ENV_VAR, resolve_obj_by_qualname
+from vllm.utils import STR_BACKEND_ENV_VAR
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 logger = init_logger(__name__)
 

vllm/benchmarks/datasets.py

@@ -39,7 +39,7 @@
 from vllm.multimodal import MultiModalDataDict
 from vllm.multimodal.image import convert_image_mode
 from vllm.transformers_utils.tokenizer import AnyTokenizer
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 try:
     from datasets import load_dataset

vllm/compilation/backends.py

@@ -24,7 +24,8 @@
 from vllm.config import CompilationConfig, CUDAGraphMode, VllmConfig
 from vllm.logger import init_logger
 from vllm.platforms import current_platform
-from vllm.utils import is_torch_equal_or_newer, resolve_obj_by_qualname
+from vllm.utils import is_torch_equal_or_newer
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 from .caching import VllmSerializableFunction
 from .compiler_interface import (

vllm/compilation/decorators.py

@@ -21,7 +21,8 @@
 from vllm.config import CompilationMode, VllmConfig, set_current_vllm_config
 from vllm.logger import init_logger
 from vllm.sequence import IntermediateTensors
-from vllm.utils import resolve_obj_by_qualname, supports_dynamo
+from vllm.utils import supports_dynamo
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 from .monitor import start_monitoring_torch_compile
 

vllm/config/compilation.py

@@ -16,7 +16,8 @@
 from vllm.config.utils import config
 from vllm.logger import init_logger
 from vllm.platforms import current_platform
-from vllm.utils import is_torch_equal_or_newer, resolve_obj_by_qualname
+from vllm.utils import is_torch_equal_or_newer
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 if TYPE_CHECKING:
     from vllm.config import VllmConfig

vllm/config/model.py

@@ -41,7 +41,8 @@
 )
 from vllm.transformers_utils.runai_utils import ObjectStorageModel, is_runai_obj_uri
 from vllm.transformers_utils.utils import maybe_model_redirect
-from vllm.utils import LayerBlockType, LazyLoader, common_broadcastable_dtype
+from vllm.utils import LayerBlockType, common_broadcastable_dtype
+from vllm.utils.import_utils import LazyLoader
 
 if TYPE_CHECKING:
     from transformers import PretrainedConfig

vllm/config/speculative.py

@@ -13,7 +13,7 @@
 from vllm.config.parallel import ParallelConfig
 from vllm.config.utils import config
 from vllm.logger import init_logger
-from vllm.utils import LazyLoader
+from vllm.utils.import_utils import LazyLoader
 
 if TYPE_CHECKING:
     from transformers import PretrainedConfig

vllm/distributed/parallel_state.py

@@ -52,9 +52,9 @@
 from vllm.utils import (
     direct_register_custom_op,
     get_distributed_init_method,
-    resolve_obj_by_qualname,
     supports_custom_op,
 )
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 
 @dataclass

vllm/entrypoints/openai/protocol.py

@@ -81,7 +81,8 @@
     SamplingParams,
     StructuredOutputsParams,
 )
-from vllm.utils import random_uuid, resolve_obj_by_qualname
+from vllm.utils import random_uuid
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 EMBED_DTYPE_TO_TORCH_DTYPE = {
     "float32": torch.float32,

vllm/entrypoints/openai/speech_to_text.py

@@ -32,7 +32,7 @@
 from vllm.logger import init_logger
 from vllm.model_executor.models import SupportsTranscription
 from vllm.outputs import RequestOutput
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 try:
     import librosa

vllm/entrypoints/openai/tool_parsers/abstract_tool_parser.py

@@ -12,8 +12,8 @@
 )
 from vllm.logger import init_logger
 from vllm.transformers_utils.tokenizer import AnyTokenizer
-from vllm.utils import import_from_path
 from vllm.utils.collections import is_list_of
+from vllm.utils.import_utils import import_from_path
 
 logger = init_logger(__name__)
 

vllm/lora/punica_wrapper/punica_selector.py

@@ -3,7 +3,7 @@
 
 from vllm.logger import init_logger
 from vllm.platforms import current_platform
-from vllm.utils import resolve_obj_by_qualname
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 from .punica_base import PunicaWrapperBase
 

vllm/model_executor/layers/pooler.py

@@ -17,7 +17,7 @@
 from vllm.model_executor.models.adapters import _load_st_projector
 from vllm.pooling_params import PoolingParams
 from vllm.tasks import PoolingTask
-from vllm.utils import resolve_obj_by_qualname
+from vllm.utils.import_utils import resolve_obj_by_qualname
 from vllm.v1.outputs import PoolerOutput
 from vllm.v1.pool.metadata import PoolingCursor, PoolingMetadata
 

vllm/model_executor/model_loader/tensorizer.py

@@ -26,7 +26,8 @@
 from vllm.logger import init_logger
 from vllm.model_executor.layers.vocab_parallel_embedding import VocabParallelEmbedding
 from vllm.platforms import current_platform
-from vllm.utils import FlexibleArgumentParser, PlaceholderModule
+from vllm.utils import FlexibleArgumentParser
+from vllm.utils.import_utils import PlaceholderModule
 
 if TYPE_CHECKING:
     from vllm.engine.arg_utils import EngineArgs

vllm/model_executor/model_loader/weight_utils.py

@@ -34,7 +34,7 @@
     get_quantization_config,
 )
 from vllm.platforms import current_platform
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 try:
     from runai_model_streamer import SafetensorsStreamer

vllm/multimodal/audio.py

@@ -8,7 +8,7 @@
 import numpy as np
 import numpy.typing as npt
 
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 from .base import MediaIO
 

vllm/multimodal/inputs.py

@@ -22,8 +22,8 @@
 import numpy as np
 from typing_extensions import NotRequired, TypeVar, deprecated
 
-from vllm.utils import LazyLoader
 from vllm.utils.collections import full_groupby, is_list_of
+from vllm.utils.import_utils import LazyLoader
 from vllm.utils.jsontree import json_map_leaves
 
 if TYPE_CHECKING:

vllm/multimodal/parse.py

@@ -19,8 +19,8 @@
 import torch
 from typing_extensions import assert_never
 
-from vllm.utils import LazyLoader
 from vllm.utils.collections import is_list_of
+from vllm.utils.import_utils import LazyLoader
 
 from .audio import AudioResampler
 from .inputs import (

vllm/platforms/__init__.py

@@ -7,7 +7,8 @@
 
 from vllm import envs
 from vllm.plugins import PLATFORM_PLUGINS_GROUP, load_plugins_by_group
-from vllm.utils import resolve_obj_by_qualname, supports_xccl
+from vllm.utils import supports_xccl
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 from .interface import CpuArchEnum, Platform, PlatformEnum
 

vllm/plugins/io_processors/__init__.py

@@ -6,7 +6,7 @@
 from vllm.config import VllmConfig
 from vllm.plugins import IO_PROCESSOR_PLUGINS_GROUP, load_plugins_by_group
 from vllm.plugins.io_processors.interface import IOProcessor
-from vllm.utils import resolve_obj_by_qualname
+from vllm.utils.import_utils import resolve_obj_by_qualname
 
 logger = logging.getLogger(__name__)
 

vllm/reasoning/abs_reasoning_parsers.py

@@ -8,8 +8,8 @@
 from typing import TYPE_CHECKING, Any
 
 from vllm.logger import init_logger
-from vllm.utils import import_from_path
 from vllm.utils.collections import is_list_of
+from vllm.utils.import_utils import import_from_path
 
 if TYPE_CHECKING:
     from vllm.entrypoints.openai.protocol import (

vllm/transformers_utils/runai_utils.py

@@ -9,7 +9,7 @@
 from vllm import envs
 from vllm.assets.base import get_cache_dir
 from vllm.logger import init_logger
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 logger = init_logger(__name__)
 

vllm/transformers_utils/s3_utils.py

@@ -4,7 +4,7 @@
 import fnmatch
 from typing import TYPE_CHECKING, Optional
 
-from vllm.utils import PlaceholderModule
+from vllm.utils.import_utils import PlaceholderModule
 
 if TYPE_CHECKING:
     from botocore.client import BaseClient