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[Misc] Add SPDX-License-Identifier headers to python source files #12628

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Feb 2, 2025
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2 changes: 2 additions & 0 deletions .buildkite/check-wheel-size.py
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# SPDX-License-Identifier: Apache-2.0

import os
import sys
import zipfile
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2 changes: 2 additions & 0 deletions .buildkite/generate_index.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
import os

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1 change: 1 addition & 0 deletions .buildkite/lm-eval-harness/test_lm_eval_correctness.py
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# SPDX-License-Identifier: Apache-2.0
"""
LM eval harness on model to compare vs HF baseline computed offline.
Configs are found in configs/$MODEL.yaml
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# SPDX-License-Identifier: Apache-2.0

import json
import os
from pathlib import Path
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2 changes: 2 additions & 0 deletions .buildkite/nightly-benchmarks/scripts/download-tokenizer.py
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# SPDX-License-Identifier: Apache-2.0

import argparse

from transformers import AutoTokenizer
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# SPDX-License-Identifier: Apache-2.0

import argparse
import json
from pathlib import Path
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# SPDX-License-Identifier: Apache-2.0

from lmdeploy.serve.openai.api_client import APIClient

api_client = APIClient("http://localhost:8000")
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# SPDX-License-Identifier: Apache-2.0

import datetime
import json
import os
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6 changes: 5 additions & 1 deletion .pre-commit-config.yaml
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Expand Up @@ -97,10 +97,14 @@ repos:
language: system
verbose: true
stages: [commit-msg]
- id: check-spdx-header
name: Check SPDX headers
entry: python tools/check_spdx_header.py
language: python
types: [python]
- id: suggestion
name: Suggestion
entry: bash -c 'echo "To bypass pre-commit hooks, add --no-verify to git commit."'
language: system
verbose: true
pass_filenames: false

2 changes: 2 additions & 0 deletions benchmarks/backend_request_func.py
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# SPDX-License-Identifier: Apache-2.0

import json
import os
import sys
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1 change: 1 addition & 0 deletions benchmarks/benchmark_guided.py
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# SPDX-License-Identifier: Apache-2.0
"""Benchmark guided decoding throughput."""
import argparse
import dataclasses
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1 change: 1 addition & 0 deletions benchmarks/benchmark_latency.py
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# SPDX-License-Identifier: Apache-2.0
"""Benchmark the latency of processing a single batch of requests."""
import argparse
import dataclasses
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1 change: 1 addition & 0 deletions benchmarks/benchmark_long_document_qa_throughput.py
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# SPDX-License-Identifier: Apache-2.0
"""
Offline benchmark to test the long document QA throughput.
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1 change: 1 addition & 0 deletions benchmarks/benchmark_prefix_caching.py
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# SPDX-License-Identifier: Apache-2.0
"""
Benchmark the efficiency of prefix caching.
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1 change: 1 addition & 0 deletions benchmarks/benchmark_prioritization.py
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# SPDX-License-Identifier: Apache-2.0
"""Benchmark offline prioritization."""
import argparse
import dataclasses
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1 change: 1 addition & 0 deletions benchmarks/benchmark_serving.py
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# SPDX-License-Identifier: Apache-2.0
r"""Benchmark online serving throughput.
On the server side, run one of the following commands:
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1 change: 1 addition & 0 deletions benchmarks/benchmark_serving_guided.py
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# SPDX-License-Identifier: Apache-2.0
r"""Benchmark online serving throughput with guided decoding.
On the server side, run one of the following commands:
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1 change: 1 addition & 0 deletions benchmarks/benchmark_throughput.py
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# SPDX-License-Identifier: Apache-2.0
"""Benchmark offline inference throughput."""
import argparse
import dataclasses
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2 changes: 2 additions & 0 deletions benchmarks/cutlass_benchmarks/sparse_benchmarks.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
import copy
import itertools
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2 changes: 2 additions & 0 deletions benchmarks/cutlass_benchmarks/utils.py
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# SPDX-License-Identifier: Apache-2.0

# Cutlass bench utils
from typing import Iterable, Tuple

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2 changes: 2 additions & 0 deletions benchmarks/cutlass_benchmarks/w8a8_benchmarks.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
import copy
import itertools
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2 changes: 2 additions & 0 deletions benchmarks/cutlass_benchmarks/weight_shapes.py
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# SPDX-License-Identifier: Apache-2.0

# Weight Shapes are in the format
# ([K, N], TP_SPLIT_DIM)
# Example:
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2 changes: 2 additions & 0 deletions benchmarks/disagg_benchmarks/disagg_prefill_proxy_server.py
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# SPDX-License-Identifier: Apache-2.0

import os

import aiohttp
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2 changes: 2 additions & 0 deletions benchmarks/disagg_benchmarks/round_robin_proxy.py
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# SPDX-License-Identifier: Apache-2.0

import asyncio
import itertools

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2 changes: 2 additions & 0 deletions benchmarks/disagg_benchmarks/visualize_benchmark_results.py
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# SPDX-License-Identifier: Apache-2.0

import json

import matplotlib.pyplot as plt
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2 changes: 2 additions & 0 deletions benchmarks/fused_kernels/layernorm_rms_benchmarks.py
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# SPDX-License-Identifier: Apache-2.0

import pickle as pkl
import time
from dataclasses import dataclass
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_aqlm.py
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# SPDX-License-Identifier: Apache-2.0

import os
import sys
from typing import Optional
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_layernorm.py
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# SPDX-License-Identifier: Apache-2.0

import time

import torch
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_lora.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
import copy
import json
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_machete.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
import copy
import itertools
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_marlin.py
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# SPDX-License-Identifier: Apache-2.0

from typing import List

import torch
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_moe.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
import time
from datetime import datetime
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_paged_attention.py
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# SPDX-License-Identifier: Apache-2.0

import random
import time
from typing import List, Optional
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_quant.py
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# SPDX-License-Identifier: Apache-2.0

import time

import torch
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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_rmsnorm.py
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# SPDX-License-Identifier: Apache-2.0

import itertools
from typing import Optional, Tuple, Union

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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_rope.py
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# SPDX-License-Identifier: Apache-2.0

from itertools import accumulate
from typing import List, Optional

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2 changes: 2 additions & 0 deletions benchmarks/kernels/benchmark_shapes.py
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# SPDX-License-Identifier: Apache-2.0

WEIGHT_SHAPES = {
"ideal": [[4 * 256 * 32, 256 * 32]],
"mistralai/Mistral-7B-v0.1/TP1": [
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2 changes: 2 additions & 0 deletions benchmarks/kernels/graph_machete_bench.py
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# SPDX-License-Identifier: Apache-2.0

import math
import pickle
import re
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2 changes: 2 additions & 0 deletions benchmarks/kernels/utils.py
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# SPDX-License-Identifier: Apache-2.0

import dataclasses
from typing import Any, Callable, Iterable, Optional

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2 changes: 2 additions & 0 deletions benchmarks/kernels/weight_shapes.py
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# SPDX-License-Identifier: Apache-2.0

# Weight Shapes are in the format
# ([K, N], TP_SPLIT_DIM)
# Example:
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2 changes: 2 additions & 0 deletions benchmarks/overheads/benchmark_hashing.py
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# SPDX-License-Identifier: Apache-2.0

import cProfile
import pstats

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2 changes: 2 additions & 0 deletions cmake/hipify.py
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# SPDX-License-Identifier: Apache-2.0

#!/usr/bin/env python3

#
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2 changes: 2 additions & 0 deletions collect_env.py
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# SPDX-License-Identifier: Apache-2.0

# ruff: noqa
# code borrowed from https://github.com/pytorch/pytorch/blob/main/torch/utils/collect_env.py

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2 changes: 2 additions & 0 deletions csrc/cutlass_extensions/vllm_cutlass_library_extension.py
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# SPDX-License-Identifier: Apache-2.0

import enum
from typing import Dict, Union

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2 changes: 2 additions & 0 deletions csrc/quantization/machete/generate.py
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# SPDX-License-Identifier: Apache-2.0

import itertools
import math
import os
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2 changes: 2 additions & 0 deletions docs/source/conf.py
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# SPDX-License-Identifier: Apache-2.0

# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
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2 changes: 2 additions & 0 deletions docs/source/generate_examples.py
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# SPDX-License-Identifier: Apache-2.0

import itertools
import re
from dataclasses import dataclass, field
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2 changes: 2 additions & 0 deletions examples/offline_inference/aqlm_example.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM, SamplingParams
from vllm.utils import FlexibleArgumentParser

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2 changes: 2 additions & 0 deletions examples/offline_inference/arctic.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM, SamplingParams

# Sample prompts.
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1 change: 1 addition & 0 deletions examples/offline_inference/audio_language.py
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# SPDX-License-Identifier: Apache-2.0
"""
This example shows how to use vLLM for running offline inference
with the correct prompt format on audio language models.
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2 changes: 2 additions & 0 deletions examples/offline_inference/basic.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM, SamplingParams

# Sample prompts.
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM

# Sample prompts.
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2 changes: 2 additions & 0 deletions examples/offline_inference/chat.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM, SamplingParams

llm = LLM(model="meta-llama/Meta-Llama-3-8B-Instruct")
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2 changes: 2 additions & 0 deletions examples/offline_inference/chat_with_tools.py
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# SPDX-License-Identifier: Apache-2.0

# ruff: noqa
import json
import random
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2 changes: 2 additions & 0 deletions examples/offline_inference/classification.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM

# Sample prompts.
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2 changes: 2 additions & 0 deletions examples/offline_inference/cli.py
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# SPDX-License-Identifier: Apache-2.0

from dataclasses import asdict

from vllm import LLM, SamplingParams
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2 changes: 2 additions & 0 deletions examples/offline_inference/cpu_offload.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM, SamplingParams

# Sample prompts.
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1 change: 1 addition & 0 deletions examples/offline_inference/distributed.py
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# SPDX-License-Identifier: Apache-2.0
"""
This example shows how to use Ray Data for running offline batch inference
distributively on a multi-nodes cluster.
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2 changes: 2 additions & 0 deletions examples/offline_inference/embedding.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM

# Sample prompts.
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1 change: 1 addition & 0 deletions examples/offline_inference/encoder_decoder.py
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# SPDX-License-Identifier: Apache-2.0
'''
Demonstrate prompting of text-to-text
encoder/decoder models, specifically BART
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1 change: 1 addition & 0 deletions examples/offline_inference/florence2_inference.py
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# SPDX-License-Identifier: Apache-2.0
'''
Demonstrate prompting of text-to-text
encoder/decoder models, specifically Florence-2
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2 changes: 2 additions & 0 deletions examples/offline_inference/gguf_inference.py
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# SPDX-License-Identifier: Apache-2.0

from huggingface_hub import hf_hub_download

from vllm import LLM, SamplingParams
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2 changes: 2 additions & 0 deletions examples/offline_inference/llm_engine_example.py
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# SPDX-License-Identifier: Apache-2.0

import argparse
from typing import List, Tuple

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# SPDX-License-Identifier: Apache-2.0
"""
This example shows how to use LoRA with different quantization techniques
for offline inference.
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2 changes: 2 additions & 0 deletions examples/offline_inference/mlpspeculator.py
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# SPDX-License-Identifier: Apache-2.0

import gc
import time
from typing import List
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1 change: 1 addition & 0 deletions examples/offline_inference/multilora_inference.py
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# SPDX-License-Identifier: Apache-2.0
"""
This example shows how to use the multi-LoRA functionality
for offline inference.
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2 changes: 2 additions & 0 deletions examples/offline_inference/neuron.py
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# SPDX-License-Identifier: Apache-2.0

from vllm import LLM, SamplingParams

# Sample prompts.
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