sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
vllm-project/vllm:tests/v1/attention/test_attention_backends.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Tests for v1 attention backends without GPUModelRunner dependency."""
from functools import partial
import pytest
import torch
from torch.nn.attention.flex_attention import create_block_mask, flex_attention
... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/v1/attention/test_attention_backends.py",
"license": "Apache License 2.0",
"lines": 652,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/v1/attention/utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Utility functions for attention-related v1 tests."""
from dataclasses import dataclass
import pytest
import torch
from vllm.config import (
CacheConfig,
CompilationConfig,
DeviceConfig,
LoadC... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/v1/attention/utils.py",
"license": "Apache License 2.0",
"lines": 321,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/layers/quantization/inc.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from fractions import Fraction
from typing import TYPE_CHECKING, Any
import regex as re
import torch
from vllm.logger import init_logger
from vllm.model_executor.layers.linear import LinearBase, UnquantizedLine... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/quantization/inc.py",
"license": "Apache License 2.0",
"lines": 392,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/llama4_eagle.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright 2025 the LLAMA4, Meta Inc., vLLM, and HuggingFace Inc. team.
# All rights reserved.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/llama4_eagle.py",
"license": "Apache License 2.0",
"lines": 217,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/models/multimodal/generation/test_voxtral.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import json
import pytest
from mistral_common.audio import Audio
from mistral_common.protocol.instruct.chunk import AudioChunk, RawAudio, TextChunk
from mistral_common.protocol.instruct.messages import UserMessa... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/models/multimodal/generation/test_voxtral.py",
"license": "Apache License 2.0",
"lines": 180,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/models/voxtral.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import math
from collections.abc import Iterable, Mapping, Sequence
from functools import cached_property, partial
from math import ceil
from typing import Literal, cast
import numpy as np
import regex as re
imp... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/voxtral.py",
"license": "Apache License 2.0",
"lines": 830,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/v1/core/test_async_scheduler.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections import deque
import pytest
from vllm.v1.core.sched.output import SchedulerOutput
from vllm.v1.outputs import ModelRunnerOutput
from vllm.v1.request import RequestStatus
from vllm.v1.utils import... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/v1/core/test_async_scheduler.py",
"license": "Apache License 2.0",
"lines": 205,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/v1/core/utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
from tests.v1.kv_connector.unit.utils import MockKVConfig
from vllm.config import (
CacheConfig,
ECTransferConfig,
KVTransferConfig,
ModelConfig,
ParallelConfig,
SchedulerCon... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/v1/core/utils.py",
"license": "Apache License 2.0",
"lines": 234,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/v1/core/sched/async_scheduler.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from vllm.logger import init_logger
from vllm.v1.core.sched.output import SchedulerOutput
from vllm.v1.core.sched.scheduler import Scheduler
from vllm.v1.request import Request, RequestStatus
logger = init_logge... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/core/sched/async_scheduler.py",
"license": "Apache License 2.0",
"lines": 50,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/bailing_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from
# https://github.com/inclusionAI/Ling/blob/master/models/modeling_bailing_moe.py
# Copyright 2023 The vLLM team.
# Copyright 2023 Antgroup and The HuggingFace Inc. team. All rights reserved.
#
# Th... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/bailing_moe.py",
"license": "Apache License 2.0",
"lines": 561,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/moe/modular_kernel_tools/cli_args.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import torch
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from vllm.model_executor.layers.fused_moe.config import FusedMoEQuantConfig
from .common import Config
from .mk_obj... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/modular_kernel_tools/cli_args.py",
"license": "Apache License 2.0",
"lines": 142,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/modular_kernel_tools/common.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
from typing import Any
import torch
import vllm._custom_ops as ops
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from tests.kernels.moe.utils import make_test... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/modular_kernel_tools/common.py",
"license": "Apache License 2.0",
"lines": 580,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/modular_kernel_tools/make_feature_matrix.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import copy
from enum import Enum
from itertools import product
import torch
from tqdm import tqdm
from vllm.config import VllmConfig, set_current_vllm_config
from vllm.model_executor.layers.fused_moe.config im... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/modular_kernel_tools/make_feature_matrix.py",
"license": "Apache License 2.0",
"lines": 160,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/modular_kernel_tools/mk_objects.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
import torch
# Fused experts and PrepareFinalize imports
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from vllm.model_executor.layers.fused_moe import Triton... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/modular_kernel_tools/mk_objects.py",
"license": "Apache License 2.0",
"lines": 407,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/modular_kernel_tools/parallel_utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import dataclasses
import os
import traceback
from collections.abc import Callable
from typing import Any, Concatenate
import torch
from torch.multiprocessing import spawn # pyright: ignore[reportPrivateImportUs... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/modular_kernel_tools/parallel_utils.py",
"license": "Apache License 2.0",
"lines": 116,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/modular_kernel_tools/profile_modular_kernel.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import copy
from collections.abc import Callable
from itertools import product
from typing import Any
import torch
from vllm.config import VllmConfig
from vllm.utils.torch_utils import set_random_seed
from .co... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/modular_kernel_tools/profile_modular_kernel.py",
"license": "Apache License 2.0",
"lines": 109,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/test_modular_kernel_combinations.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import copy
import textwrap
import traceback
from itertools import product
from typing import Any
import pytest
import torch
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from vllm.config imp... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_modular_kernel_combinations.py",
"license": "Apache License 2.0",
"lines": 293,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/layers/mamba/abstract.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from abc import abstractmethod
from collections.abc import Iterable
import torch
from vllm.config import VllmConfig
from vllm.model_executor.layers.attention_layer_base import AttentionLayerBase
from vllm.v1.att... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/mamba/abstract.py",
"license": "Apache License 2.0",
"lines": 52,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/layers/quantization/input_quant_fp8.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
import torch.nn.functional as F
from vllm import _custom_ops as ops
from vllm._aiter_ops import rocm_aiter_ops
from vllm.model_executor.custom_op import CustomOp
from vllm.model_executor.layers.quan... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/quantization/input_quant_fp8.py",
"license": "Apache License 2.0",
"lines": 213,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/utils/deep_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Compatibility wrapper for DeepGEMM API changes.
Users of vLLM should always import **only** these wrappers.
"""
import functools
import importlib
import os
from collections.abc import Callable
from enum impor... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/utils/deep_gemm.py",
"license": "Apache License 2.0",
"lines": 471,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/layers/fused_moe/topk_weight_and_reduce.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
import vllm._custom_ops as ops
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
class TopKWeightAndReduceDelegate(mk.TopKWeightAndReduce):
"""
Useful in the case when some... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/fused_moe/topk_weight_and_reduce.py",
"license": "Apache License 2.0",
"lines": 142,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/moe/test_count_expert_num_tokens.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Tests compute_expert_num_tokens kernels
"""
import dataclasses
import pytest
import torch
from vllm.model_executor.layers.fused_moe.utils import count_expert_num_tokens
@dataclasses.dataclass
class TestTe... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_count_expert_num_tokens.py",
"license": "Apache License 2.0",
"lines": 117,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/entrypoints/openai/test_default_mm_loras.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import os
import openai # use the official client for correctness check
import pytest
import pytest_asyncio
from huggingface_hub import snapshot_download
from ...conftest import AudioTestAssets
from ...utils i... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/entrypoints/openai/test_default_mm_loras.py",
"license": "Apache License 2.0",
"lines": 80,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/lora/test_default_mm_loras.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Tests for applying default registered multimodal loras.
"""
import os
import unittest.mock as mock
import pytest
from huggingface_hub import snapshot_download
from vllm.lora.request import LoRARequest
from... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/lora/test_default_mm_loras.py",
"license": "Apache License 2.0",
"lines": 130,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/v1/structured_output/backend_outlines.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright 2025-present the Outlines developers
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from __future__ import annotations
import ast
import importlib
import json
import sys
from dataclasses import dataclass, field
from typing ... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/structured_output/backend_outlines.py",
"license": "Apache License 2.0",
"lines": 282,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/jina_vl.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections.abc import Iterable, Mapping
import torch
import torch.nn as nn
from transformers import BatchFeature
from vllm.config import ModelConfig, VllmConfig
from vllm.inputs import TokensPrompt
from vl... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/jina_vl.py",
"license": "Apache License 2.0",
"lines": 126,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/reasoning/test_hunyuan_reasoning_parser.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
from transformers import AutoTokenizer
from tests.reasoning.utils import run_reasoning_extraction
from vllm.reasoning import ReasoningParser, ReasoningParserManager
parser_name = "hunyuan_a13b"
ST... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/reasoning/test_hunyuan_reasoning_parser.py",
"license": "Apache License 2.0",
"lines": 156,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/reasoning/hunyuan_a13b_reasoning_parser.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections.abc import Sequence
import regex as re
from transformers import PreTrainedTokenizerBase
from vllm.entrypoints.openai.chat_completion.protocol import (
ChatCompletionRequest,
)
from vllm.ent... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/reasoning/hunyuan_a13b_reasoning_parser.py",
"license": "Apache License 2.0",
"lines": 198,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:docs/mkdocs/hooks/generate_argparse.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import importlib.metadata
import importlib.util
import logging
import sys
import textwrap
import traceback
from argparse import SUPPRESS, Action, HelpFormatter
from collections.abc import Iterable
from importlib.m... | {
"repo_id": "vllm-project/vllm",
"file_path": "docs/mkdocs/hooks/generate_argparse.py",
"license": "Apache License 2.0",
"lines": 195,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/quantization/reference_mxfp4.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
BFLOAT16_EXP_BIAS = 127
BFLOAT16_MANTISSA_BITS = 7
BFLOAT16_EXP_BITS = 8
FLOAT16_EXP_BIAS = 15
FLOAT16_MANTISSA_BITS = 10
FLOAT16_EXP_BITS = 5
FLOAT8_E8M0_MAX_EXP = 127
FLOAT4_EXP_BIAS = 1
FLOAT4_M... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/quantization/reference_mxfp4.py",
"license": "Apache License 2.0",
"lines": 214,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
vllm-project/vllm:vllm/ray/ray_env.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import json
import os
import vllm.envs as envs
from vllm.logger import init_logger
logger = init_logger(__name__)
CONFIG_HOME = envs.VLLM_CONFIG_ROOT
# Env vars that should NOT be copied from the driver to Ray... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/ray/ray_env.py",
"license": "Apache License 2.0",
"lines": 97,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/config/test_mp_reducer.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import sys
from unittest.mock import patch
from vllm.config import VllmConfig
from vllm.engine.arg_utils import AsyncEngineArgs
from vllm.v1.engine.async_llm import AsyncLLM
def test_mp_reducer():
"""
T... | {
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"file_path": "tests/config/test_mp_reducer.py",
"license": "Apache License 2.0",
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"canary_value": "",
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} | test |
vllm-project/vllm:vllm/v1/engine/utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import contextlib
import os
import weakref
from collections.abc import Callable, Iterator
from dataclasses import dataclass
from enum import Enum, auto
from multiprocessing import Process, connection
from multipr... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/engine/utils.py",
"license": "Apache License 2.0",
"lines": 970,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/moe/parallel_utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
DeepEP test utilities
"""
import dataclasses
import os
import traceback
from collections.abc import Callable
from typing import Concatenate
import torch
from torch.distributed import ProcessGroup
from torch.... | {
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"file_path": "tests/kernels/moe/parallel_utils.py",
"license": "Apache License 2.0",
"lines": 172,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
vllm-project/vllm:tests/kernels/moe/test_block_fp8.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from tests.kernels.moe.utils import (
make_dummy_moe_config,
make_test_quant_config,
make_test_weights,
... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_block_fp8.py",
"license": "Apache License 2.0",
"lines": 257,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
vllm-project/vllm:tests/kernels/moe/test_block_int8.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch
from tests.kernels.moe.utils import make_test_quant_config
from tests.kernels.quant_utils import (
native_per_token_group_quant_int8,
native_w8a8_block_matmul,
)
from vllm.conf... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_block_int8.py",
"license": "Apache License 2.0",
"lines": 116,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/layers/fused_moe/config.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
from enum import IntEnum
from typing import Union
import torch
import vllm.envs as envs
from vllm.config import ParallelConfig
from vllm.distributed import get_dp_group, get_pcp... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/fused_moe/config.py",
"license": "Apache License 2.0",
"lines": 1062,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/ernie45.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright 2025 The Baidu team.
# Copyright 2023 The vLLM team.
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/ernie45.py",
"license": "Apache License 2.0",
"lines": 48,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/ernie45_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright 2025 The Baidu team.
# Copyright 2023 The vLLM team.
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/ernie45_moe.py",
"license": "Apache License 2.0",
"lines": 663,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/keye.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import math
from abc import abstractmethod
from collections.abc import Iterable, Mapping, Sequence
from functools import partial
from typing import Annotated, Any, Literal, TypeAlias, TypeVar
import numpy as np
i... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/keye.py",
"license": "Apache License 2.0",
"lines": 1484,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
vllm-project/vllm:vllm/model_executor/models/glm4_1v.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from
# https://github.com/huggingface/transformers/blob/main/src/transformers/models/Glm4v/modeling_Glm4v.py
# Copyright 2025 The vLLM team.
# Copyright 2025 The ZhipuAI Team.
# Copyright 2025 The Huggi... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/glm4_1v.py",
"license": "Apache License 2.0",
"lines": 1529,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/tools/test_config_validator.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import ast
import pytest
from tools.pre_commit.validate_config import validate_ast
_TestConfig1 = '''
@config
class _TestConfig1:
a: int
"""docstring"""
'''
_TestConfig2 = """
@config
class _TestConfi... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/tools/test_config_validator.py",
"license": "Apache License 2.0",
"lines": 34,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/layers/fused_moe/cpu_fused_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import weakref
from collections.abc import Callable
import torch
from torch.nn import functional as F
from vllm import _custom_ops as ops
from vllm._custom_ops import cpu_fused_moe, cpu_prepack_moe_weight
from v... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/fused_moe/cpu_fused_moe.py",
"license": "Apache License 2.0",
"lines": 416,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/moe/test_deepgemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Unit-test DeepGEMM FP8 kernels (no DeepEP).
Compare DeepGEMM path against the Triton fallback inside vLLM's fused_experts.
"""
import importlib
import math
import pytest
import torch
# vLLM fused-expert ref... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_deepgemm.py",
"license": "Apache License 2.0",
"lines": 161,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
vllm-project/vllm:vllm/model_executor/models/dots1.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from
# https://github.com/huggingface/transformers/blob/v4.28.0/src/transformers/models/llama/modeling_llama.py
# Copyright 2025 The rednote-hilab team.
# Copyright 2023 The vLLM team.
# Copyright 2023 ... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/dots1.py",
"license": "Apache License 2.0",
"lines": 515,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/gemma3n.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright 2025 The vLLM team.
# Copyright 2025 Google Inc. HuggingFace Inc. team. All rights reserved.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in ... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/gemma3n.py",
"license": "Apache License 2.0",
"lines": 1058,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/config.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from copy import deepcopy
from math import lcm
from typing import TYPE_CHECKING
from vllm.logger import init_logger
from vllm.model_executor.models import ModelRegistry
from vllm.platforms import current_platform... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/config.py",
"license": "Apache License 2.0",
"lines": 566,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/distributed/test_quick_all_reduce.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import multiprocessing
import random
import pytest
import ray
import torch
import torch.distributed as dist
from vllm import _custom_ops as ops
from vllm.distributed.communication_op import tensor_model_paralle... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/distributed/test_quick_all_reduce.py",
"license": "Apache License 2.0",
"lines": 195,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/distributed/device_communicators/quick_all_reduce.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from enum import Enum
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroup
import vllm.envs as envs
from vllm import _custom_ops as ops
from vllm.config import get_current_vl... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/distributed/device_communicators/quick_all_reduce.py",
"license": "Apache License 2.0",
"lines": 255,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/distributed/test_eplb_algo.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import numpy as np
import pytest
import torch
from vllm.distributed.eplb.policy.default import DefaultEplbPolicy
def test_basic_rebalance():
"""Test basic rebalancing functionality"""
# Example from ht... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/distributed/test_eplb_algo.py",
"license": "Apache License 2.0",
"lines": 380,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/distributed/test_eplb_execute.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
import random
import pytest
import torch
import torch.distributed
from vllm.config import VllmConfig, set_current_vllm_config
from vllm.distributed.eplb.rebalance_execute import (
move_from_b... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/distributed/test_eplb_execute.py",
"license": "Apache License 2.0",
"lines": 526,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/distributed/eplb/eplb_state.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Expert parallelism load balancer (EPLB) metrics and states.
# Glossary
- **Logical Expert**: An expert that is part of the model's logical structure.
It holds a set of weights and is replicated across mult... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/distributed/eplb/eplb_state.py",
"license": "Apache License 2.0",
"lines": 1028,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/distributed/eplb/rebalance_execute.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
The actual execution of the rearrangement.
This involves the exchange of expert weights between GPUs.
"""
from collections.abc import Sequence
from dataclasses import dataclass
import numpy as np
import tor... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/distributed/eplb/rebalance_execute.py",
"license": "Apache License 2.0",
"lines": 637,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/worker/xpu_model_runner.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from contextlib import contextmanager
from typing import TYPE_CHECKING
import torch
from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.utils.torch_utils import supports_xpu_graph
fr... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/worker/xpu_model_runner.py",
"license": "Apache License 2.0",
"lines": 42,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/worker/xpu_worker.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import gc
import os
from typing import Any
import torch
from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.platforms import current_platform
from vllm.profiler.wrapper import TorchP... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/worker/xpu_worker.py",
"license": "Apache License 2.0",
"lines": 97,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/config/test_config_generation.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
from vllm.engine.arg_utils import EngineArgs
from vllm.model_executor.layers.quantization.quark.utils import deep_compare
def test_cuda_empty_vs_unset_configs(monkeypatch: pytest.MonkeyPatch):
... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/config/test_config_generation.py",
"license": "Apache License 2.0",
"lines": 86,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
vllm-project/vllm:tests/distributed/test_node_count.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import os
import torch.distributed as dist
from vllm.distributed.parallel_state import _node_count
from vllm.distributed.utils import StatelessProcessGroup
from vllm.utils.network_utils import get_ip, get_open_... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/distributed/test_node_count.py",
"license": "Apache License 2.0",
"lines": 35,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:examples/online_serving/openai_translation_client.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
import json
import httpx
from openai import OpenAI
from vllm.assets.audio import AudioAsset
def sync_openai(audio_path: str, client: OpenAI, model: str):
with open(audio_path, "rb") as f:
... | {
"repo_id": "vllm-project/vllm",
"file_path": "examples/online_serving/openai_translation_client.py",
"license": "Apache License 2.0",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
vllm-project/vllm:tests/entrypoints/openai/test_translation_validation.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import io
# imports for structured outputs tests
import json
import httpx
import librosa
import numpy as np
import openai
import pytest
import pytest_asyncio
import soundfile as sf
from ...utils import RemoteO... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/entrypoints/openai/test_translation_validation.py",
"license": "Apache License 2.0",
"lines": 251,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tools/generate_cmake_presets.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import json
import multiprocessing
import os
import sys
from shutil import which
try:
# Try to get CUDA_HOME from PyTorch installation, which is the
# most reliable source of truth for vLL... | {
"repo_id": "vllm-project/vllm",
"file_path": "tools/generate_cmake_presets.py",
"license": "Apache License 2.0",
"lines": 153,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/models/language/pooling/test_reward.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import json
from typing import TYPE_CHECKING
import pytest
import torch
import torch.nn.functional as F
from transformers import AutoModel
from vllm.platforms import current_platform
from ....conftest import Hf... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/models/language/pooling/test_reward.py",
"license": "Apache License 2.0",
"lines": 125,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
vllm-project/vllm:tests/kernels/moe/test_silu_mul_fp8_quant_deep_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import random
import pytest
import torch
from vllm.model_executor.layers.fused_moe.batched_deep_gemm_moe import (
persistent_masked_m_silu_mul_quant,
)
from vllm.platforms import current_platform
from vllm... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_silu_mul_fp8_quant_deep_gemm.py",
"license": "Apache License 2.0",
"lines": 243,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/v1/core/sched/request_queue.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import heapq
from abc import ABC, abstractmethod
from collections import deque
from collections.abc import Iterable, Iterator
from enum import Enum
from vllm.v1.request import Request
class SchedulingPolicy(En... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/core/sched/request_queue.py",
"license": "Apache License 2.0",
"lines": 160,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/plugins/vllm_add_dummy_platform/vllm_add_dummy_platform/dummy_custom_ops.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
from vllm.model_executor.layers.rotary_embedding import RotaryEmbedding
# Register CustomRotaryEmbedding to CustomOP.
@RotaryEmbedding.register_oot
class DummyRotaryEmbedding(RotaryEmbedding):
... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/plugins/vllm_add_dummy_platform/vllm_add_dummy_platform/dummy_custom_ops.py",
"license": "Apache License 2.0",
"lines": 13,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ... | test |
vllm-project/vllm:tests/cuda/test_cuda_context.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import ctypes
from concurrent.futures import ThreadPoolExecutor
import pytest
import torch
from vllm.platforms import current_platform
def check_cuda_context():
"""Check CUDA driver context status"""
... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/cuda/test_cuda_context.py",
"license": "Apache License 2.0",
"lines": 65,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:examples/online_serving/openai_chat_completion_client_with_tools_xlam.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# ruff: noqa: E501
"""
Set up this example by starting a vLLM OpenAI-compatible server with tool call
options enabled for xLAM-2 models:
vllm serve --model Salesforce/Llama-xLAM-2-8b-fc-r --enable-auto-tool-choic... | {
"repo_id": "vllm-project/vllm",
"file_path": "examples/online_serving/openai_chat_completion_client_with_tools_xlam.py",
"license": "Apache License 2.0",
"lines": 196,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:examples/online_serving/openai_chat_completion_client_with_tools_xlam_streaming.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# ruff: noqa: E501
"""
Set up this example by starting a vLLM OpenAI-compatible server with tool call
options enabled for xLAM-2 models:
vllm serve --model Salesforce/Llama-xLAM-2-8b-fc-r --enable-auto-tool-choic... | {
"repo_id": "vllm-project/vllm",
"file_path": "examples/online_serving/openai_chat_completion_client_with_tools_xlam_streaming.py",
"license": "Apache License 2.0",
"lines": 227,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template"... | license |
vllm-project/vllm:tests/models/language/generation/test_gemma.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import numpy as np
import pytest
MODELS = ["google/gemma-2b", "google/gemma-2-2b", "google/gemma-3-4b-it"]
@pytest.mark.parametrize("model", MODELS)
def test_dummy_loader(vllm_runner, monkeypatch, model: str) -... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/models/language/generation/test_gemma.py",
"license": "Apache License 2.0",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/v1/pool/metadata.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
import numpy as np
import torch
from vllm.pooling_params import PoolingParams
from vllm.tasks import PoolingTask
from vllm.utils.platform_utils import is_pin_memory_available
p... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/pool/metadata.py",
"license": "Apache License 2.0",
"lines": 99,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/attention/backends/rocm_aiter_fa.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Attention layer with AiterFlashAttention."""
from dataclasses import dataclass
from typing import ClassVar
import torch
from vllm._aiter_ops import rocm_aiter_ops
from vllm.config import VllmConfig, get_laye... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/attention/backends/rocm_aiter_fa.py",
"license": "Apache License 2.0",
"lines": 1229,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/worker/tpu_input_batch.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Datastructures defining a TPU input batch
from typing import cast
import numpy as np
import torch
from vllm.lora.request import LoRARequest
from vllm.sampling_params import SamplingType
from vllm.utils import... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/worker/tpu_input_batch.py",
"license": "Apache License 2.0",
"lines": 501,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/distributed/kv_transfer/kv_connector/v1/p2p/p2p_nccl_connector.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any
import regex as re
import torch
from vllm.config import VllmConfig
from vllm.distributed.kv_transfer.kv_connector.v1.base import (
KVC... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/distributed/kv_transfer/kv_connector/v1/p2p/p2p_nccl_connector.py",
"license": "Apache License 2.0",
"lines": 445,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/distributed/kv_transfer/kv_connector/v1/p2p/p2p_nccl_engine.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import json
import logging
import os
import threading
import time
from collections import deque
from contextlib import contextmanager
from dataclasses import dataclass
from typing import Any
import msgpack
impor... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/distributed/kv_transfer/kv_connector/v1/p2p/p2p_nccl_engine.py",
"license": "Apache License 2.0",
"lines": 553,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/distributed/kv_transfer/kv_connector/v1/p2p/tensor_memory_pool.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import atexit
import ctypes
import math
from dataclasses import dataclass
import torch
from vllm.logger import init_logger
logger = init_logger(__name__)
@dataclass
class MemoryBlock:
size: int
addr:... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/distributed/kv_transfer/kv_connector/v1/p2p/tensor_memory_pool.py",
"license": "Apache License 2.0",
"lines": 211,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/v1/test_request.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from vllm.v1.request import RequestStatus
def test_request_status_fmt_str():
"""Test that the string representation of RequestStatus is correct."""
assert f"{RequestStatus.WAITING}" == "WAITING"
asse... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/v1/test_request.py",
"license": "Apache License 2.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:benchmarks/kernels/benchmark_moe_align_block_size.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import itertools
import torch
from vllm.model_executor.layers.fused_moe.moe_align_block_size import (
moe_align_block_size,
)
from vllm.triton_utils import triton
def get_topk_ids(num_token... | {
"repo_id": "vllm-project/vllm",
"file_path": "benchmarks/kernels/benchmark_moe_align_block_size.py",
"license": "Apache License 2.0",
"lines": 72,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/moe/test_moe_align_block_size.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Tests for the MOE align block size function.
Run `pytest tests/kernels/moe/test_moe_align_block_size.py`.
"""
import pytest
import torch
from vllm.model_executor.layers.fused_moe.moe_align_block_size import ... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_moe_align_block_size.py",
"license": "Apache License 2.0",
"lines": 352,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/models/multimodal/test_mapping.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections.abc import Iterable
import pytest
import torch
import transformers
from transformers import AutoConfig, PreTrainedModel
from vllm.config import ModelConfig
from vllm.model_executor.models.utils ... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/models/multimodal/test_mapping.py",
"license": "Apache License 2.0",
"lines": 91,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:examples/online_serving/structured_outputs/structured_outputs.py | # ruff: noqa: E501
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import asyncio
import enum
import os
from typing import Any, Literal
import openai
import pydantic
from openai.types.chat import ChatCompletionChunk
ConstraintsFormat = Literal... | {
"repo_id": "vllm-project/vllm",
"file_path": "examples/online_serving/structured_outputs/structured_outputs.py",
"license": "Apache License 2.0",
"lines": 233,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:examples/offline_inference/spec_decode.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from transformers import AutoTokenizer
from vllm import LLM, SamplingParams
from vllm.benchmarks.datasets import add_dataset_parser, get_samples
from vllm.utils.argparse_utils import FlexibleArgumentParser
from ... | {
"repo_id": "vllm-project/vllm",
"file_path": "examples/offline_inference/spec_decode.py",
"license": "Apache License 2.0",
"lines": 231,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/v1/engine/test_fast_incdec_prefix_err.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from transformers import AutoTokenizer
from vllm.sampling_params import SamplingParams
from vllm.v1.engine import EngineCoreRequest
from vllm.v1.engine.detokenizer import IncrementalDetokenizer
# ruff: noqa: E5... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/v1/engine/test_fast_incdec_prefix_err.py",
"license": "Apache License 2.0",
"lines": 183,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_nvfp4.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections.abc import Callable
import torch
from torch.nn.parameter import Parameter
from vllm.model_executor.layers.quantization.compressed_tensors.schemes import (
CompressedTensorsScheme,
)
from vll... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_nvfp4.py",
"license": "Apache License 2.0",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition":... | license |
vllm-project/vllm:tests/compile/test_config.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import copy
from contextlib import nullcontext
from unittest.mock import MagicMock, patch
import pytest
from pydantic import ValidationError
from vllm.compilation.counter import compilation_counter
from vllm.com... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/compile/test_config.py",
"license": "Apache License 2.0",
"lines": 496,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/test_flex_attention.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Integration tests for FlexAttention backend vs default backend"""
import pytest
import torch
from packaging import version
from tests.utils import set_random_seed
from tests.v1.attention.utils import (
Ba... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/test_flex_attention.py",
"license": "Apache License 2.0",
"lines": 191,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/v1/core/kv_cache_coordinator.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from abc import ABC, abstractmethod
from collections.abc import Sequence
from math import lcm
from vllm.v1.core.block_pool import BlockPool
from vllm.v1.core.kv_cache_metrics import KVCacheMetricsCollector
from v... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/core/kv_cache_coordinator.py",
"license": "Apache License 2.0",
"lines": 532,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/nemotron_h.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from https://github.com/vllm-project/vllm/blob/94d8ec8d2bcb4ec55e33022b313c7e978edf05e1/vllm/model_executor/models/bamba.py
# Copyright 2024 HuggingFace Inc. team. All rights reserved.
# Copyright (c) 2... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/nemotron_h.py",
"license": "Apache License 2.0",
"lines": 831,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/transformers_utils/configs/nemotron_h.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright 2024 HuggingFace Inc. team. All rights reserved.
# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/transformers_utils/configs/nemotron_h.py",
"license": "Apache License 2.0",
"lines": 274,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/layers/fused_moe/batched_deep_gemm_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from vllm.forward_context import get_forward_context, is_forward_context_available
from vllm.logger import init_logger
from vllm.mod... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/fused_moe/batched_deep_gemm_moe.py",
"license": "Apache License 2.0",
"lines": 384,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:examples/online_serving/multi_instance_data_parallel.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
import threading
from vllm.engine.arg_utils import AsyncEngineArgs
from vllm.engine.async_llm_engine import AsyncLLMEngine
from vllm.outputs import RequestOutput
from vllm.sampling_params import Sa... | {
"repo_id": "vllm-project/vllm",
"file_path": "examples/online_serving/multi_instance_data_parallel.py",
"license": "Apache License 2.0",
"lines": 75,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/attention/backends/mla/cutlass_mla.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import os
from typing import ClassVar
import torch
import vllm._custom_ops as ops
from vllm.config.cache import CacheDType
from vllm.logger import init_logger
from vllm.model_executor.layers.attention.mla_atten... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/attention/backends/mla/cutlass_mla.py",
"license": "Apache License 2.0",
"lines": 232,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/test_apply_repetition_penalties.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch
from tests.kernels.utils import opcheck
from vllm._custom_ops import (
apply_repetition_penalties_cuda,
apply_repetition_penalties_torch,
)
from vllm.platforms import current_pl... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/test_apply_repetition_penalties.py",
"license": "Apache License 2.0",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/v1/attention/backends/cpu_attn.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
from typing import ClassVar
import torch
from vllm import _custom_ops as ops
from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.platforms import Cp... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/attention/backends/cpu_attn.py",
"license": "Apache License 2.0",
"lines": 446,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/worker/cpu_model_runner.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from contextlib import contextmanager
from typing import Any
import torch
import torch.nn as nn
from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.model_executor.model_loader import... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/worker/cpu_model_runner.py",
"license": "Apache License 2.0",
"lines": 103,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/v1/worker/cpu_worker.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import os
import platform
from collections.abc import Callable
from typing import Any
import torch
from vllm import envs
from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.platforms... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/v1/worker/cpu_worker.py",
"license": "Apache License 2.0",
"lines": 200,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/kernels/moe/test_deepep_deepgemm_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Test DeepEP + DeepGEMM integration
DeepGEMM are gemm kernels specialized for the
fp8 block-quantized case.
"""
import dataclasses
from contextlib import contextmanager
import pytest
import torch.distributed
... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_deepep_deepgemm_moe.py",
"license": "Apache License 2.0",
"lines": 492,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:tests/kernels/moe/test_deepep_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Test deepep dispatch-combine logic
"""
import dataclasses
import pytest
import torch.distributed
from torch.distributed import ProcessGroup
from tests.kernels.moe.utils import make_dummy_moe_config
from vll... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/kernels/moe/test_deepep_moe.py",
"license": "Apache License 2.0",
"lines": 469,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
vllm-project/vllm:vllm/model_executor/layers/fused_moe/deepep_ht_prepare_finalize.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections.abc import Callable
import deep_ep
import torch
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from vllm.model_executor.layers.fused_moe.config import FusedMoEQuantConfig
from ... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/fused_moe/deepep_ht_prepare_finalize.py",
"license": "Apache License 2.0",
"lines": 391,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/layers/fused_moe/deepep_ll_prepare_finalize.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from collections.abc import Callable
import deep_ep
import torch
import vllm.model_executor.layers.fused_moe.modular_kernel as mk
from vllm import envs
from vllm.logger import init_logger
from vllm.model_executo... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/layers/fused_moe/deepep_ll_prepare_finalize.py",
"license": "Apache License 2.0",
"lines": 392,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:vllm/model_executor/models/tarsier.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import math
from collections.abc import Iterable, Mapping, Sequence
from typing import Annotated, Final, Literal, Protocol, TypeAlias, TypeVar
import torch
import torch.nn as nn
from transformers import (
Ba... | {
"repo_id": "vllm-project/vllm",
"file_path": "vllm/model_executor/models/tarsier.py",
"license": "Apache License 2.0",
"lines": 526,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
vllm-project/vllm:tests/entrypoints/test_api_server_process_manager.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import multiprocessing
import socket
import threading
import time
from unittest.mock import patch
import pytest
from vllm.v1.utils import APIServerProcessManager, wait_for_completion_or_failure
# Global variab... | {
"repo_id": "vllm-project/vllm",
"file_path": "tests/entrypoints/test_api_server_process_manager.py",
"license": "Apache License 2.0",
"lines": 206,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
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