repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_stop_parse_documents.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_stop_parse_documents.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_download_document.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_download_document.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_upload_documents.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_upload_documents.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_list_documents.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_list_documents.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/conftest.py | sdk/python/test/test_http_api/test_file_management_within_dataset/conftest.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_delete_documents.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_delete_documents.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_update_document.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_update_document.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/test_http_api/test_file_management_within_dataset/test_parse_documents.py | sdk/python/test/test_http_api/test_file_management_within_dataset/test_parse_documents.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/libs/__init__.py | sdk/python/test/libs/__init__.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/libs/auth.py | sdk/python/test/libs/auth.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/libs/utils/file_utils.py | sdk/python/test/libs/utils/file_utils.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/libs/utils/__init__.py | sdk/python/test/libs/utils/__init__.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/sdk/python/test/libs/utils/hypothesis_utils.py | sdk/python/test/libs/utils/hypothesis_utils.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/mcp/server/server.py | mcp/server/server.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/mcp/client/client.py | mcp/client/client.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
infiniflow/ragflow | https://github.com/infiniflow/ragflow/blob/5ebe334a2f452cb35d4247a8c688bd3d3c76be4c/mcp/client/streamable_http_client.py | mcp/client/streamable_http_client.py | #
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | python | Apache-2.0 | 5ebe334a2f452cb35d4247a8c688bd3d3c76be4c | 2026-01-04T14:38:19.006015Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/use_existing_torch.py | use_existing_torch.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import glob
for file in (*glob.glob("requirements/*.txt"), "pyproject.toml"):
print(f">>> cleaning {file}")
with open(file) as f:
lines = f.readlines()
if "torch" in "".join(lines).lower():
... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/setup.py | setup.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import ctypes
import importlib.util
import json
import logging
import os
import re
import shutil
import subprocess
import sys
import sysconfig
from pathlib import Path
from shutil import which
import torch
from ... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | true |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_long_document_qa_throughput.py | benchmarks/benchmark_long_document_qa_throughput.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Offline benchmark to test the long document QA throughput.
Example usage:
# This workload samples 8 different prompts with a default input
# length of 20000 tokens, then replicates each prompt 2 times... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_latency.py | benchmarks/benchmark_latency.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import sys
if __name__ == "__main__":
print("""DEPRECATED: This script has been moved to the vLLM CLI.
Please use the following command instead:
vllm bench latency
For help with the new command, run:
... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_batch_invariance.py | benchmarks/benchmark_batch_invariance.py | #!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark to measure the performance overhead of VLLM_BATCH_INVARIANT mode.
This benchmark runs the same workload twice:
1. With VLLM_BATCH_INVARIANT=0 (baseline)
2. With VLLM_BATCH_INV... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_throughput.py | benchmarks/benchmark_throughput.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import sys
if __name__ == "__main__":
print("""DEPRECATED: This script has been moved to the vLLM CLI.
Please use the following command instead:
vllm bench throughput
For help with the new command, run:... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/backend_request_func.py | benchmarks/backend_request_func.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import io
import json
import os
import sys
import time
import traceback
from dataclasses import dataclass, field
import aiohttp
import huggingface_hub.constants
from tqdm.asyncio import tqdm
from transformers im... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_prioritization.py | benchmarks/benchmark_prioritization.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Benchmark offline prioritization."""
import argparse
import dataclasses
import json
import random
import time
from transformers import AutoTokenizer, PreTrainedTokenizerBase
from vllm.engine.arg_utils import... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_block_pool.py | benchmarks/benchmark_block_pool.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import gc
from benchmark_utils import TimeCollector
from tabulate import tabulate
from vllm.utils.argparse_utils import FlexibleArgumentParser
from vllm.v1.core.block_pool import BlockPool
def main(args):
... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_prefix_caching.py | benchmarks/benchmark_prefix_caching.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark the efficiency of prefix caching.
This script allows you to benchmark the performance of
a model with and without prefix caching using either fixed prompts
or prompts sampled from the ShareGPT datas... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_prefix_block_hash.py | benchmarks/benchmark_prefix_block_hash.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Simple benchmark to compare prefix-cache block hashing algorithms.
Example:
python benchmark_prefix_block_hash.py --num-blocks 20000 --block-size 32
"""
from __future__ import annotations
import argpar... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_serving.py | benchmarks/benchmark_serving.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import sys
if __name__ == "__main__":
print("""DEPRECATED: This script has been moved to the vLLM CLI.
Please use the following command instead:
vllm bench serve
For help with the new command, run:
... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_serving_structured_output.py | benchmarks/benchmark_serving_structured_output.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
r"""Benchmark online serving throughput with structured outputs.
On the server side, run one of the following commands:
(vLLM OpenAI API server)
vllm serve <your_model>
On the client side, run:
pytho... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | true |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_utils.py | benchmarks/benchmark_utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import json
import math
import os
import time
from types import TracebackType
from typing import Any
def convert_to_pytorch_benchmark_format(
args: argparse.Namespace, metrics: dict[str, list... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_hash.py | benchmarks/benchmark_hash.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Micro benchmark comparing built-in hash(), SHA-256, and xxHash.
This focuses on a single test payload shaped like the prefix-cache hash input:
(32-byte bytes object, 32-int tuple)
Usage:
python bench... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/benchmark_ngram_proposer.py | benchmarks/benchmark_ngram_proposer.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import gc
import time
from unittest import mock
import numpy as np
from benchmark_utils import TimeCollector
from tabulate import tabulate
from vllm.config import (
CacheConfig,
DeviceConfig,
LoadCon... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/overheads/benchmark_hashing.py | benchmarks/overheads/benchmark_hashing.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import cProfile
import pstats
from vllm import LLM, SamplingParams
from vllm.utils.argparse_utils import FlexibleArgumentParser
# A very long prompt, total number of tokens is about 15k.
LONG_PROMPT = ["You are... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/disagg_benchmarks/rate_limiter.py | benchmarks/disagg_benchmarks/rate_limiter.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
import time
class RateLimiter:
"""Token bucket rate limiter implementation"""
def __init__(self, rate_limit):
self.rate_limit = rate_limit # Requests per second
self.num... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/disagg_benchmarks/visualize_benchmark_results.py | benchmarks/disagg_benchmarks/visualize_benchmark_results.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import json
import matplotlib.pyplot as plt
import pandas as pd
if __name__ == "__main__":
data = []
for name in ["disagg_prefill", "chunked_prefill"]:
for qps in [2, 4, 6, 8]:
with ... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/disagg_benchmarks/request_queue.py | benchmarks/disagg_benchmarks/request_queue.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
from collections import deque
class RequestQueue:
"""Request queue manager with concurrency control"""
def __init__(self, max_concurrent, max_queue_size):
# Maximum concurrent re... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/disagg_benchmarks/disagg_prefill_proxy_server.py | benchmarks/disagg_benchmarks/disagg_prefill_proxy_server.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import asyncio
import logging
import os
import time
import uuid
from urllib.parse import urlparse
import aiohttp
from quart import Quart, Response, make_response, request
# Configure logging
log... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/disagg_benchmarks/round_robin_proxy.py | benchmarks/disagg_benchmarks/round_robin_proxy.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import asyncio
import itertools
import aiohttp
from aiohttp import web
class RoundRobinProxy:
def __init__(self, target_ports):
self.target_ports = target_ports
self.port_cycle = itertools.... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/fused_kernels/layernorm_rms_benchmarks.py | benchmarks/fused_kernels/layernorm_rms_benchmarks.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pickle as pkl
import time
from collections.abc import Callable, Iterable
from dataclasses import dataclass
from itertools import product
import torch
import torch.utils.benchmark as TBenchmark
from torch.... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/multi_turn/convert_sharegpt_to_openai.py | benchmarks/multi_turn/convert_sharegpt_to_openai.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Download dataset from:
https://huggingface.co/datasets/philschmid/sharegpt-raw/blob/main/sharegpt_20230401_clean_lang_split.json
Convert to OpenAI API:
export INPUT_FILE=sharegpt_20230401_clean_lang_split.jso... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/multi_turn/bench_utils.py | benchmarks/multi_turn/bench_utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import logging
from enum import Enum
class Color(Enum):
RED = "\033[91m"
GREEN = "\033[92m"
BLUE = "\033[94m"
PURPLE = "\033[95m"
CYAN = "\033[96m"
YELLOW = "\033[93m"
RESET = "\033[0... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/multi_turn/bench_dataset.py | benchmarks/multi_turn/bench_dataset.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from abc import ABC, abstractmethod
from statistics import mean
from typing import Any, NamedTuple
import numpy as np # type: ignore
import pandas as pd # type: ignore
from bench_utils import (
TEXT_SEPARAT... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/multi_turn/benchmark_serving_multi_turn.py | benchmarks/multi_turn/benchmark_serving_multi_turn.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import asyncio
import json
import logging
import multiprocessing as mp
import os
import random
import time
from collections import Counter, deque
from datetime import datetime
from enum import Enum... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | true |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/cutlass_benchmarks/sparse_benchmarks.py | benchmarks/cutlass_benchmarks/sparse_benchmarks.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import pickle as pkl
import time
from collections.abc import Callable, Iterable
import torch
import torch.utils.benchmark as TBenchmark
from torch.utils.benchmark imp... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/cutlass_benchmarks/utils.py | benchmarks/cutlass_benchmarks/utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Cutlass bench utils
from collections.abc import Iterable
import torch
import vllm._custom_ops as ops
def to_fp8(tensor: torch.Tensor) -> torch.Tensor:
finfo = torch.finfo(torch.float8_e4m3fn)
return... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/cutlass_benchmarks/weight_shapes.py | benchmarks/cutlass_benchmarks/weight_shapes.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Weight Shapes are in the format
# ([K, N], TP_SPLIT_DIM)
# Example:
# A shape of ([14336, 4096], 0) indicates the following GEMM shape,
# - TP1 : K = 14336, N = 4096
# - TP2 : K = 7168, N = 4096
# A shape... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/cutlass_benchmarks/w8a8_benchmarks.py | benchmarks/cutlass_benchmarks/w8a8_benchmarks.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import pickle as pkl
import time
from collections.abc import Callable, Iterable
import torch
import torch.utils.benchmark as TBenchmark
from torch.utils.benchmark imp... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_layernorm.py | benchmarks/kernels/benchmark_layernorm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import time
import torch
from vllm.model_executor.layers.layernorm import RMSNorm
from vllm.platforms import current_platform
from vllm.utils.argparse_utils import FlexibleArgumentParser
from vllm.utils.torch_u... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_nvfp4_quant.py | benchmarks/kernels/bench_nvfp4_quant.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import torch
from weight_shapes import WEIGHT_SHAPES
from vllm import _custom_ops as ops
from vllm.platforms import current_platform
from vllm.scalar_type import scal... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_moe_permute_unpermute.py | benchmarks/kernels/benchmark_moe_permute_unpermute.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
from typing import Any, TypedDict
import ray
import torch
from transformers import AutoConfig
from vllm.model_executor.layers.fused_moe.fused_moe import *
from vllm.model_executor.layers.fused_m... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_machete.py | benchmarks/kernels/benchmark_machete.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import math
import os
import pickle as pkl
import time
from collections.abc import Callable, Iterable
from dataclasses import dataclass
from itertools import product
... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/graph_machete_bench.py | benchmarks/kernels/graph_machete_bench.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import math
import pickle
from collections import defaultdict
import matplotlib.pyplot as plt
import pandas as pd
import regex as re
import seaborn as sns
from torch.utils.benchmark import Measurement as TMeasur... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_marlin.py | benchmarks/kernels/benchmark_marlin.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
import torch.utils.benchmark as benchmark
from benchmark_shapes import WEIGHT_SHAPES
from vllm import _custom_ops as ops
from vllm.model_executor.layers.quantization.gptq_marlin_24 import (
GPTQ... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_per_token_group_quant.py | benchmarks/kernels/benchmark_per_token_group_quant.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import math
from collections.abc import Callable
from contextlib import contextmanager
from unittest.mock import patch
import torch
from vllm.model_executor.layers.quantization.utils import fp8_... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_quant.py | benchmarks/kernels/benchmark_quant.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import time
import torch
from vllm import _custom_ops as ops
from vllm.platforms import current_platform
from vllm.utils.argparse_utils import FlexibleArgumentParser
from vllm.utils.torch_utils import STR_DTYPE... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_mrope.py | benchmarks/kernels/benchmark_mrope.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# This script benchmarks the mrope kernel (mainly for Qwen2VL and Qwen2.5VL models).
# It generates test data, runs benchmarks, and saves results to a CSV file.
#
# The CSV file (named with current date/time) con... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_trtllm_prefill_attention.py | benchmarks/kernels/benchmark_trtllm_prefill_attention.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import csv
import os
from datetime import datetime
import flashinfer
import torch
from vllm.utils.math_utils import round_up
FLOAT32_BYTES = torch.finfo(torch.float).bits // 8
FP8_DTYPE = torch.float8_e4m3fn
F... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_bitblas.py | benchmarks/kernels/benchmark_bitblas.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from packaging import version
from vllm.model_executor.layers.quantization.utils.bitblas_utils import (
MINIMUM_BITBLAS_VERSION,
)
tr... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_trtllm_decode_attention.py | benchmarks/kernels/benchmark_trtllm_decode_attention.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import csv
import os
from datetime import datetime
import flashinfer
import torch
from vllm.utils.math_utils import round_up
FLOAT32_BYTES = torch.finfo(torch.float).bits // 8
FP8_DTYPE = torch.float8_e4m3fn
F... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_paged_attention.py | benchmarks/kernels/benchmark_paged_attention.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import random
import time
import torch
from vllm import _custom_ops as ops
from vllm.logger import init_logger
from vllm.platforms import current_platform
from vllm.utils.argparse_utils import FlexibleArgumentP... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_mla_k_concat.py | benchmarks/kernels/benchmark_mla_k_concat.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark script comparing torch.cat vs direct copy for k_nope/k_pe concatenation
in MLA (Multi-head Latent Attention) prefill.
This validates that the optimization from commit 8d4142bd is beneficial across
v... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_moe_align_block_size.py | 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... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_cutlass_fp4_moe.py | benchmarks/kernels/benchmark_cutlass_fp4_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark the performance of the cutlass_moe_fp4 kernel vs the triton_moe
kernel. The cutlass_moe_fp4 kernel takes in fp4 quantized weights and 16-bit
activations. The triton_moe kernel takes in fp8 weights(te... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_rmsnorm.py | benchmarks/kernels/benchmark_rmsnorm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import itertools
import torch
from flashinfer.norm import fused_add_rmsnorm, rmsnorm
from torch import nn
from vllm import _custom_ops as vllm_ops
from vllm.triton_utils import triton
class HuggingFaceRMSNorm... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_per_token_quant_fp8.py | benchmarks/kernels/bench_per_token_quant_fp8.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import itertools
from collections.abc import Callable
from unittest.mock import patch
import pandas as pd
import torch
from vllm.model_executor.layers.quantization.input_quant_fp8 import QuantFP8
from vllm.model... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_fp8_gemm.py | benchmarks/kernels/bench_fp8_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import torch
from weight_shapes import WEIGHT_SHAPES
from vllm._custom_ops import cutlass_scaled_mm as vllm_scaled_mm
from vllm._custom_ops import scaled_fp8_quant as... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_moe.py | benchmarks/kernels/benchmark_moe.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import gc
import json
import os
import time
from contextlib import nullcontext
from datetime import datetime
from itertools import product
from typing import Any, TypedDict
import ray
import torc... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_cutlass_moe_fp8.py | benchmarks/kernels/benchmark_cutlass_moe_fp8.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark the performance of the cutlass_moe_fp8 kernel vs the triton_moe
kernel. Both kernels take in fp8 quantized weights and 16-bit activations,
but use different quantization strategies and backends.
"""
... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_int8_gemm.py | benchmarks/kernels/bench_int8_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import torch
from weight_shapes import WEIGHT_SHAPES
from vllm._custom_ops import cutlass_scaled_mm as vllm_scaled_mm
from vllm._custom_ops import scaled_int8_quant a... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/utils.py | benchmarks/kernels/utils.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import dataclasses
from collections.abc import Callable, Iterable
from typing import Any
import torch
import torch.utils.benchmark as TBenchmark
from torch.utils.benchmark import Measurement as TMeasurement
@d... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_2d_silu_mul_fp8_quant.py | benchmarks/kernels/benchmark_2d_silu_mul_fp8_quant.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from dataclasses import dataclass
from enum import Enum
from itertools import product
from typing import Any
import torch
import torch.utils.benchmark as TBenchmark
from torch.utils.benchmark import Measurement ... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_silu_mul_fp8_quant.py | benchmarks/kernels/benchmark_silu_mul_fp8_quant.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Comprehensive 3-way SiLU Benchmark Suite
This benchmark compares three SiLU implementations:
1. SiLU V2 (CUDA) - Optimized CUDA kernel implementation
2. Triton Kernel - Triton-based implementation
The suite... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_grouped_gemm_cutlass.py | benchmarks/kernels/benchmark_grouped_gemm_cutlass.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import torch
import torch.utils.benchmark as benchmark
from benchmark_shapes import WEIGHT_SHAPES_MOE
from vllm import _custom_ops as ops
from vllm.config import ParallelConfig, VllmConfig, set_current_vllm_conf... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_nvfp4_qutlass.py | benchmarks/kernels/bench_nvfp4_qutlass.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Copyright (C) 2025 Roberto L. Castro ([email protected]).
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_shapes.py | benchmarks/kernels/benchmark_shapes.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
WEIGHT_SHAPES = {
"ideal": [[4 * 256 * 32, 256 * 32]],
"mistralai/Mistral-7B-v0.1/TP1": [
[4096, 6144],
[4096, 4096],
[4096, 28672],
[14336, 4096],
],
"mistralai/Mi... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/weight_shapes.py | benchmarks/kernels/weight_shapes.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Weight Shapes are in the format
# ([K, N], TP_SPLIT_DIM)
# Example:
# A shape of ([14336, 4096], 0) indicates the following GEMM shape,
# - TP1 : K = 14336, N = 4096
# - TP2 : K = 7168, N = 4096
# A shape... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_block_fp8_gemm.py | benchmarks/kernels/bench_block_fp8_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import os
# Disable DeepGEMM for this benchmark to use CUTLASS
os.environ["VLLM_USE_DEEP_GEMM"] = "0"
import torch
from vllm.model_executor.layers.quantization.utils.fp8_utils import (
W8A8BlockFp8LinearOp... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_lora.py | benchmarks/kernels/benchmark_lora.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import json
import pickle
import time
from collections.abc import Callable
from dataclasses import dataclass
from enum import Enum, auto
from itertools import product
from pathlib impo... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | true |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_mxfp4_qutlass.py | benchmarks/kernels/bench_mxfp4_qutlass.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Copyright (C) 2025 Roberto L. Castro ([email protected]).
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_reshape_and_cache.py | benchmarks/kernels/benchmark_reshape_and_cache.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import random
import time
import torch
from tabulate import tabulate
from vllm import _custom_ops as ops
from vllm.logger import init_logger
from vllm.platforms import current_platform
from vllm.utils.argparse_u... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/bench_nvfp4_gemm.py | benchmarks/kernels/bench_nvfp4_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import itertools
import os
import torch
from weight_shapes import WEIGHT_SHAPES
from vllm import _custom_ops as ops
from vllm.platforms import current_platform
from vllm.scalar_type i... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_rope.py | benchmarks/kernels/benchmark_rope.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import itertools
import torch
from vllm.model_executor.layers.rotary_embedding import get_rope
from vllm.triton_utils import triton
from vllm.utils.argparse_utils import FlexibleArgumentParser
batch_size_range... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_device_communicators.py | benchmarks/kernels/benchmark_device_communicators.py | #!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark script for device communicators:
CustomAllreduce (oneshot, twoshot), PyNcclCommunicator,
and SymmMemCommunicator (multimem, two-shot).
for NCCL symmetric memory you need to s... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_reshape_and_cache_flash.py | benchmarks/kernels/benchmark_reshape_and_cache_flash.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import random
import time
import torch
from tabulate import tabulate
from vllm import _custom_ops as ops
from vllm.attention.ops.triton_reshape_and_cache_flash import (
triton_reshape_and_cache_flash,
)
from... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_w8a8_block_fp8.py | benchmarks/kernels/benchmark_w8a8_block_fp8.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from sglang quantization/tuning_block_wise_kernel.py
import argparse
import json
import multiprocessing as mp
import os
import time
from datetime import datetime
from typing import Any
import torch
fro... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_activation.py | benchmarks/kernels/benchmark_activation.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# benchmark custom activation op performance
import itertools
import torch
import vllm.model_executor.layers.activation # noqa F401
from vllm.model_executor.custom_op import CustomOp
from vllm.platforms import... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/benchmark_fused_collective.py | benchmarks/kernels/benchmark_fused_collective.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Benchmark for FlashInfer fused collective operations vs standard operations.
This benchmark compares:
1. FlashInfer's trtllm_allreduce_fusion (fused allreduce + rmsnorm + optional quant)
2. Standard tensor_m... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | true |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/benchmarks/kernels/deepgemm/benchmark_fp8_block_dense_gemm.py | benchmarks/kernels/deepgemm/benchmark_fp8_block_dense_gemm.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# ruff: noqa: E501
import time
import torch
from vllm import _custom_ops as ops
from vllm.model_executor.layers.quantization.utils.fp8_utils import (
per_token_group_quant_fp8,
w8a8_triton_block_scaled_m... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/install_nixl_from_source_ubuntu.py | tools/install_nixl_from_source_ubuntu.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# install_prerequisites.py
import argparse
import glob
import json
import os
import subprocess
import sys
import urllib.request
# --- Configuration ---
WHEELS_CACHE_HOME = os.environ.get("WHEELS_CACHE_HOME", "/tm... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/report_build_time_ninja.py | tools/report_build_time_ninja.py | #!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Copyright (c) 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# Modified version of:... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/generate_cmake_presets.py | 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... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/profiler/visualize_layerwise_profile.py | tools/profiler/visualize_layerwise_profile.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import copy
import json
import math
import os
from pathlib import Path
from typing import Any
import matplotlib.pyplot as plt
import pandas as pd
## JSON parsing utils ####
def largest_dist_fr... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/profiler/print_layerwise_table.py | tools/profiler/print_layerwise_table.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import argparse
import json
from vllm.profiler.layerwise_profile import ModelStatsEntry, SummaryStatsEntry
from vllm.profiler.utils import TablePrinter, indent_string
def flatten_entries(entry_cls, profile_dic... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/profiler/nsys_profile_tools/gputrc2graph.py | tools/profiler/nsys_profile_tools/gputrc2graph.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
This generates gpu kernel analysis output from nsys rep. Will call nsys
stats -r cuda_gpu_kern_trace, get non-overlapped gpu cycles, then generate
csv and html output for analysis
"""
import argparse
import ... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/pre_commit/generate_nightly_torch_test.py | tools/pre_commit/generate_nightly_torch_test.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Generates specialized requirements files for nightly PyTorch testing.
This script reads the main test requirements input file (`requirements/test.in`)
and splits its content into two files:
1. `requirements/... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/pre_commit/check_spdx_header.py | tools/pre_commit/check_spdx_header.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import sys
from enum import Enum
class SPDXStatus(Enum):
"""SPDX header status enumeration"""
EMPTY = "empty" # empty __init__.py
COMPLETE = "complete"
MISSING_LICENSE = "missing_license" # O... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/pre_commit/check_init_lazy_imports.py | tools/pre_commit/check_init_lazy_imports.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Ensure we perform lazy loading in vllm/__init__.py.
i.e: appears only within the `if typing.TYPE_CHECKING:` guard,
**except** for a short whitelist.
"""
import ast
import sys
from collections.abc import Iterab... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/pre_commit/check_pickle_imports.py | tools/pre_commit/check_pickle_imports.py | #!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import sys
import regex as re
# List of files (relative to repo root) that are allowed to import pickle or
# cloudpickle
#
# STOP AND READ BEFORE YOU ADD ANYTHING ELSE TO THIS LIST:
# The... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/pre_commit/validate_config.py | tools/pre_commit/validate_config.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Ensures all fields in a config dataclass have default values
and that each field has a docstring.
"""
import ast
import inspect
import sys
from itertools import pairwise
import regex as re
def get_attr_doc... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
vllm-project/vllm | https://github.com/vllm-project/vllm/blob/0d4044edd85de30d7d4558aeea4d1e95c7c556d6/tools/pre_commit/check_triton_import.py | tools/pre_commit/check_triton_import.py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import subprocess
import sys
import regex as re
FORBIDDEN_IMPORT_RE = re.compile(r"^(from|import)\s+triton(\s|\.|$)")
# the way allowed to import triton
ALLOWED_LINES = {
"from vllm.triton_utils import trit... | python | Apache-2.0 | 0d4044edd85de30d7d4558aeea4d1e95c7c556d6 | 2026-01-04T14:38:19.902011Z | false |
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