repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
sglang | python/sglang/lang/backend/anthropic.py | .py | from sglang.lang.backend.base_backend import BaseBackend
from sglang.lang.chat_template import get_chat_template
from sglang.lang.interpreter import StreamExecutor
from sglang.lang.ir import SglSamplingParams
try:
import anthropic
except ImportError as e:
anthropic = e
class Anthropic(BaseBackend):
def _... | 74 | 2,019 |
sglang | python/sglang/lang/backend/runtime_endpoint.py | .py | import atexit
import json
import multiprocessing
import time
import warnings
from typing import Dict, List, Optional, Union
import aiohttp
import requests
from sglang.global_config import global_config
from sglang.lang.backend.base_backend import BaseBackend
from sglang.lang.chat_template import get_chat_template, ge... | 552 | 18,570 |
sglang | python/sglang/lang/backend/litellm.py | .py | from typing import Mapping, Optional
from sglang.lang.backend.base_backend import BaseBackend
from sglang.lang.chat_template import get_chat_template_by_model_path
from sglang.lang.interpreter import StreamExecutor
from sglang.lang.ir import SglSamplingParams
try:
import litellm
except ImportError as e:
litel... | 91 | 2,450 |
sglang | python/sglang/lang/backend/vertexai.py | .py | import os
import warnings
from sglang.lang.backend.base_backend import BaseBackend
from sglang.lang.chat_template import get_chat_template
from sglang.lang.interpreter import StreamExecutor
from sglang.lang.ir import SglSamplingParams
try:
import vertexai
from vertexai.preview.generative_models import (
... | 149 | 4,827 |
sglang | python/sglang/eval/llama3_eval.py | .py | # Adapt from https://github.com/fw-ai/llm_eval_meta
import argparse
import asyncio
import os
import pickle
import re
import shutil
from collections import defaultdict
from dataclasses import dataclass
import httpx
import numpy as np
import openai
from datasets import load_dataset
from openai import AsyncOpenAI
from t... | 316 | 9,997 |
sglang | python/sglang/eval/loogle_eval.py | .py | import argparse
import asyncio
import os
import pickle
from pathlib import Path
from typing import List
import openai
import torch
from bert_score import BERTScorer
from datasets import load_dataset
from tqdm import tqdm
def get_client(api_url: str) -> openai.AsyncOpenAI:
if os.getenv("OPENAI_API_KEY") is None:
... | 165 | 4,557 |
sglang | python/sglang/multimodal_gen/utils.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/utils.py
import argparse
import ctypes
import importlib
import importlib.util
import inspect
import math
import os
import signal
import sy... | 798 | 27,522 |
sglang | python/sglang/multimodal_gen/registry.py | .py | # SPDX-License-Identifier: Apache-2.0
"""
Central registry for multimodal models.
This module provides a centralized registry for multimodal models, including pipelines
and sampling parameters. It allows for easy registration and retrieval of model
information based on model paths or other identifiers.
"""
import dat... | 1,278 | 47,313 |
sglang | python/sglang/multimodal_gen/envs.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/envs.py
import logging
import os
from typing import TYPE_CHECKING, Any, Callable
from sglang.multimodal_gen.runtime.utils.common import g... | 360 | 15,749 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/utils.py | .py | import base64
import io
import os
import shutil
import time
import uuid
import folder_paths
import numpy as np
import torch
from comfy_api.input import VideoInput
from PIL import Image
def _ensure_dir(path: str) -> None:
os.makedirs(path, exist_ok=True)
def _to_numpy_image(image: torch.Tensor) -> np.ndarray:
... | 177 | 4,994 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/nodes.py | .py | """
ComfyUI nodes for SGLang Diffusion integration.
Provides nodes for connecting to SGLang Diffusion server and generating images/videos.
"""
import os
import uuid
import folder_paths
import torch
from .core import SGLDiffusionGenerator, SGLDiffusionServerAPI
from .utils import (
convert_b64_to_tensor_image,
... | 716 | 22,576 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/__init__.py | .py | """
ComfyUI SGLang Diffusion nodes package.
"""
try:
from .nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
except ImportError:
# ComfyUI dependencies not available (e.g., in test environment)
NODE_CLASS_MAPPINGS = {}
NODE... | 14 | 416 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/executors/qwen_image.py | .py | """
QwenImage executor for SGLang Diffusion ComfyUI integration.
"""
import torch
try:
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.utils import prepare_request
except ImportError:
print(
"Error: sglang.multimodal_ge... | 173 | 6,015 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/executors/flux.py | .py | """
Flux executor for SGLang Diffusion ComfyUI integration.
"""
import torch
try:
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.utils import prepare_request
except ImportError:
print(
"Error: sglang.multimodal_gen is ... | 70 | 2,595 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/executors/__init__.py | .py | """
ComfyUI SGLang Diffusion executors package.
Provides executor classes for different model types.
"""
from .base import SGLDiffusionExecutor
from .flux import FluxExecutor
from .qwen_image import QwenImageEditExecutor, QwenImageExecutor
from .zimage import ZImageExecutor
__all__ = [
"SGLDiffusionExecutor",
... | 18 | 415 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/executors/zimage.py | .py | """
ZImage executor for SGLang Diffusion ComfyUI integration.
"""
import torch
try:
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.utils import prepare_request
except ImportError:
print(
"Error: sglang.multimodal_gen i... | 65 | 2,316 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/executors/base.py | .py | """
Base executor class for SGLang Diffusion ComfyUI integration.
"""
import torch
class SGLDiffusionExecutor(torch.nn.Module):
"""Base executor class for SGLang Diffusion models in ComfyUI."""
def __init__(self, generator, model_path, model, config):
super(SGLDiffusionExecutor, self).__init__()
... | 57 | 2,057 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/core/__init__.py | .py | """
Core components for SGLang Diffusion ComfyUI integration.
Provides generator, model patcher, and server API client.
"""
from .generator import SGLDiffusionGenerator
from .model_patcher import SGLDModelPatcher
from .server_api import SGLDiffusionServerAPI
__all__ = [
"SGLDiffusionGenerator",
"SGLDModelPatc... | 15 | 357 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/core/generator.py | .py | """
Generator for SGLang Diffusion ComfyUI integration.
"""
import logging
import os
import psutil
from comfy import model_detection, model_management
from comfy.utils import (
calculate_parameters,
load_torch_file,
state_dict_prefix_replace,
unet_to_diffusers,
)
logger = logging.getLogger(__name__)
... | 232 | 8,457 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/core/server_api.py | .py | """
SGLang Diffusion Server API client.
Provides a low-level interface for interacting with SGLang Diffusion HTTP server.
"""
import base64
import io
import os
import time
from typing import Any, Dict, Optional
import requests
from PIL import Image
class SGLDiffusionServerAPI:
"""Client for SGLang Diffusion HTT... | 540 | 20,106 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/core/model_patcher.py | .py | """
Model patcher for SGLang Diffusion ComfyUI integration.
"""
import copy
from comfy.model_patcher import ModelPatcher
class SGLDModelPatcher(ModelPatcher):
"""Model patcher for SGLang Diffusion models in ComfyUI."""
def __init__(
self,
model,
load_device,
offload_device,
... | 83 | 2,211 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/test/test_qwen_image_edit_pipeline.py | .py | """Test for ComfyUIQwenImageEditPipeline with pass-through scheduler (I2I/edit mode)."""
import os
import sys
import pytest
import torch
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.diffusion_generator import DiffGenerator
from sglang.... | 137 | 4,380 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/test/__init__.py | .py | """
Test suite for ComfyUI SGLDiffusion pipelines.
This package contains tests for each ComfyUI pipeline integration:
- ZImagePipeline
- FluxPipeline
- QwenImagePipeline
- QwenImageEditPipeline
"""
| 10 | 199 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/test/test_qwen_image_pipeline.py | .py | """Test for ComfyUIQwenImagePipeline with pass-through scheduler."""
import os
import sys
import pytest
import torch
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.diffusion_generator import DiffGenerator
from sglang.multimodal_gen.runti... | 121 | 3,793 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/test/test_flux_pipeline.py | .py | """Test for ComfyUIFluxPipeline with pass-through scheduler."""
import os
import sys
import pytest
import torch
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.diffusion_generator import DiffGenerator
from sglang.multimodal_gen.runtime.en... | 157 | 4,641 |
sglang | python/sglang/multimodal_gen/apps/ComfyUI_SGLDiffusion/test/test_zimage_pipeline.py | .py | """Test for ComfyUIZImagePipeline with pass-through scheduler."""
import os
import sys
import pytest
import torch
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.diffusion_generator import DiffGenerator
from sglang.multimodal_gen.runtime.... | 123 | 3,752 |
sglang | python/sglang/multimodal_gen/apps/webui/main.py | .py | import argparse
import os
from sglang.multimodal_gen.configs.sample.sampling_params import (
DataType,
SamplingParams,
)
from sglang.multimodal_gen.runtime.entrypoints.utils import (
post_process_sample,
prepare_request,
)
from sglang.multimodal_gen.runtime.scheduler_client import sync_scheduler_client... | 266 | 9,889 |
sglang | python/sglang/multimodal_gen/apps/webui/__init__.py | .py | from .main import run_sgl_diffusion_webui
__all__ = ["run_sgl_diffusion_webui"]
| 4 | 81 |
sglang | python/sglang/multimodal_gen/csrc/attn/vmoba_attn/setup.py | .py | # SPDX-License-Identifier: Apache-2.0
from setuptools import find_packages, setup
PACKAGE_NAME = "vmoba"
VERSION = "0.0.0"
AUTHOR = "JianzongWu"
DESCRIPTION = "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"
URL = "https://github.com/KwaiVGI/VMoBA"
setup(
name=PACKAGE_NAME,
version=VERSION,
... | 27 | 635 |
sglang | python/sglang/multimodal_gen/csrc/attn/vmoba_attn/vmoba/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
from .vmoba import (
moba_attn_varlen as moba_attn_varlen,
process_moba_input as process_moba_input,
process_moba_output as process_moba_output,
)
__all__ = ["moba_attn_varlen", "process_moba_input", "process_moba_output"]
| 9 | 274 |
sglang | python/sglang/multimodal_gen/csrc/attn/vmoba_attn/vmoba/vmoba.py | .py | # SPDX-License-Identifier: Apache-2.0
# Adapt from https://github.com/KwaiVGI/VMoBA/blob/main/src/vmoba.py
import random
import time
from typing import Tuple
import torch
try:
from flash_attn import ( # Use the new flash attention function
flash_attn_varlen_func,
)
from flash_attn.flash_attn_int... | 1,084 | 39,676 |
sglang | python/sglang/multimodal_gen/csrc/attn/vmoba_attn/tests/test_vmoba_attn.py | .py | # SPDX-License-Identifier: Apache-2.0
import random
import pytest
import torch
from sglang.multimodal_gen.csrc.attn.vmoba_attn.vmoba import moba_attn_varlen
def generate_test_data(
batch_size, total_seqlen, num_heads, head_dim, dtype, device="cuda"
):
"""
Generates random data for testing the variable-l... | 138 | 4,291 |
sglang | python/sglang/multimodal_gen/third_party/pynvml.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# copied from https://pypi.org/project/nvidia-ml-py
# version 12.570.86
#####
# Copyright (c) 2011-2023, NVIDIA Corporation. All rights reserved.
#
# Redistribution and use in source and binary forms, with or wit... | 7,228 | 228,516 |
sglang | python/sglang/multimodal_gen/tools/build_minimax_h3_adaln_cache.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Build an inference-only AdaLN cache from a local MiniMax H3 transformer."""
from __future__ import annotations
import argparse
import json
import math
from contextlib import ExitStack
from pathlib import Path
from typing import Any
import torch
import torch.nn.functional as F... | 269 | 8,894 |
sglang | python/sglang/multimodal_gen/tools/convert_hf_to_fp8.py | .py | # copied and adapted from Slime
"""
Convert HuggingFace safetensors model to FP8 format for efficient inference.
Example usage:
# convert FLUX.1-dev transformer to FP8
python -m sglang.multimodal_gen.tools.convert_hf_to_fp8 \
--model-dir /path/to/FLUX.1-dev/transformer \
--save-dir /path/to/FLU... | 321 | 10,248 |
sglang | python/sglang/multimodal_gen/tools/build_modelopt_nvfp4_transformer.py | .py | """Build an SGLang-loadable ModelOpt NVFP4 diffusion transformer.
This tool keeps the ModelOpt-exported NVFP4 tensors for most transformer
modules, but can replace a validated subset of numerically sensitive modules
with their original BF16 tensors from the base transformer checkpoint.
It is primarily intended for FL... | 401 | 13,333 |
sglang | python/sglang/multimodal_gen/tools/wan_repack.py | .py | ### Based on https://github.com/huggingface/diffusers/blob/main/scripts/convert_wan_to_diffusers.py
import argparse
import json
import pathlib
import shutil
from typing import Any, Dict, List
from safetensors.torch import load_file, save_file
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
... | 229 | 8,209 |
sglang | python/sglang/multimodal_gen/tools/build_modelopt_fp8_transformer.py | .py | """Build an SGLang-loadable ModelOpt FP8 diffusion transformer.
The core conversion path is model-agnostic:
- read the ModelOpt diffusers transformer export
- rebuild per-layer `weight_scale` / `input_scale` tensors from `backbone.pt`
- materialize SGLang-native `float8_e4m3fn` weights
- preserve ModelOpt `ignore` lay... | 884 | 31,709 |
sglang | python/sglang/multimodal_gen/tools/compare_diffusion_trajectory_similarity.py | .py | """Compare diffusion BF16 and quantized runs via trajectory-latent similarity.
This tool runs two SGLang diffusion variants with the same prompt and seed,
captures intermediate denoising latents via `return_trajectory_latents`, and
reports cosine / error metrics for each timestep plus final frame metrics.
The intende... | 632 | 22,382 |
sglang | python/sglang/multimodal_gen/benchmarks/bench_offline_throughput.py | .py | """
Benchmark offline throughput for multimodal generation models (Image/Video Generation).
This script benchmarks generation throughput without running a server, using low-level APIs.
It provides detailed metrics on throughput, latency, and resource utilization.
# Usage Examples
## Text-to-Video with VBench dataset... | 730 | 25,602 |
sglang | python/sglang/multimodal_gen/benchmarks/datasets.py | .py | import glob
import json
import os
import random
import re
import subprocess
import uuid
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
import requests
from PIL import Image
from sglang.multimodal_gen.runtime.utils.logging_utils import init_log... | 362 | 13,582 |
sglang | python/sglang/multimodal_gen/benchmarks/compare_perf.py | .py | import argparse
import json
import os
import re
from datetime import datetime
from typing import Any, Dict, List, Tuple
def calculate_diff(base: float, new: float) -> Tuple[float, float]:
"""Returns (diff, diff_percent)."""
diff = new - base
if base == 0:
percent = 0.0
else:
percent = ... | 302 | 9,620 |
sglang | python/sglang/multimodal_gen/benchmarks/bench_serving.py | .py | """
Benchmark online serving for diffusion models (Image/Video Generation).
Usage:
# launch a server and benchmark on it
# T2V or T2I or any other multimodal generation model
sglang serve --model-path Wan-AI/Wan2.2-T2V-A14B-Diffusers --num-gpus 1 --port 1231
# benchmark it and make sure the port is ... | 885 | 32,537 |
sglang | python/sglang/multimodal_gen/benchmarks/request_manifest.py | .py | """JSONL request manifests for reproducible offline diffusion benchmarks."""
from __future__ import annotations
import hashlib
import json
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from urllib.parse import urlparse
_TOP_LEVEL_SAMPLING_FIELDS = {
"fps",
"guidance_scale"... | 184 | 5,915 |
sglang | python/sglang/multimodal_gen/benchmarks/bench_pi05_openpi.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Manual Pi0.5 SGLang vs OpenPI benchmark.
This script is intentionally outside the unit-test path. It needs GPU memory,
Pi0.5 checkpoints, and an OpenPI install for the baseline.
"""
from __future__ import annotations
import argparse
import asyncio
import copy
import dataclas... | 1,352 | 46,324 |
sglang | python/sglang/multimodal_gen/test/run_suite.py | .py | """
Test runner for multimodal_gen that manages test suites and parallel execution.
For diffusion 1-gpu/2-gpu suites, cases are partitioned by estimated runtime
using LPT so each CI shard has a similar total runtime.
"""
import argparse
import copy
import json
import os
import random
import subprocess
import sys
impo... | 694 | 23,475 |
sglang | python/sglang/multimodal_gen/test/partitioning.py | .py | from __future__ import annotations
from dataclasses import dataclass
@dataclass(frozen=True)
class PartitionItem:
kind: str
item_id: str
est_time: float
used_fallback_estimate: bool = False
def partition_items_by_lpt(
items: list[PartitionItem], num_partitions: int
) -> list[list[PartitionItem]... | 47 | 1,337 |
sglang | python/sglang/multimodal_gen/test/test_utils.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
import base64
import html
import io
import json
import math
import os
import socket
import subprocess
import sys
import tempfile
import time
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.par... | 2,145 | 74,001 |
sglang | python/sglang/multimodal_gen/test/server/realtime_consistency.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import asyncio
import os
import statistics
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Any
import imageio
import msgspec.msgpack
import numpy as np
import pytest
from openai import Client
from ... | 404 | 13,899 |
sglang | python/sglang/multimodal_gen/test/server/test_server_1_gpu.py | .py | """
Config-driven diffusion performance test with pytest parametrization.
If the actual run is significantly better than the baseline, the improved cases with their updated baseline will be printed
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffus... | 24 | 701 |
sglang | python/sglang/multimodal_gen/test/server/test_server_b200.py | .py | """
Config-driven diffusion performance test with pytest parametrization.
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.gpu_cases import ONE_GPU_B200_CASES
from sglang.multimodal_gen.test... | 21 | 609 |
sglang | python/sglang/multimodal_gen/test/server/test_server_1_gpu_5090.py | .py | """
Config-driven diffusion canary tests for the 1-GPU 5090 PR runner.
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.gpu_cases import ONE_GPU_5090_CASES
from sglang.multimodal_gen.test.se... | 21 | 601 |
sglang | python/sglang/multimodal_gen/test/server/test_server_4_gpu_h100.py | .py | """PR-blocking diffusion smoke tests that require four H100 GPUs."""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.gpu_cases import (
MINIMAX_H3_FOUR_GPU_H100_CASES,
)
from sglang.multimo... | 19 | 558 |
sglang | python/sglang/multimodal_gen/test/server/test_server_common.py | .py | """
Config-driven diffusion generation test with pytest parametrization.
Each collected request prints a performance log before validation.
"""
from __future__ import annotations
import json
import os
import queue
import threading
import time
from pathlib import Path
from typing import Any, Callable
import numpy a... | 1,481 | 56,808 |
sglang | python/sglang/multimodal_gen/test/server/test_request_logger.py | .py | """
Test request logging for diffusion models.
Tests the --log-requests CLI flags for diffusion model serving,
verifying that request logs are correctly written to stdout and files.
"""
import json
import os
import shutil
import tempfile
import time
from pathlib import Path
import pytest
from openai import OpenAI
f... | 234 | 7,318 |
sglang | python/sglang/multimodal_gen/test/server/test_server_utils.py | .py | """
Server management and performance validation for diffusion tests.
"""
from __future__ import annotations
import asyncio
import base64
import os
import shlex
import subprocess
import sys
import tempfile
import threading
import time
from dataclasses import dataclass, field
from pathlib import Path
from typing impor... | 1,642 | 59,629 |
sglang | python/sglang/multimodal_gen/test/server/testcase_configs.py | .py | """
Configuration and data structures for diffusion performance tests.
Usage:
pytest python/sglang/multimodal_gen/test/server/test_server_1_gpu.py
# for a single testcase, look for the name of the testcase in ONE_GPU_CASES,
# ONE_GPU_MODELOPT_FP8_CASES, ONE_GPU_B200_CASES, or TWO_GPU_CASES
pytest python/sglang/multim... | 884 | 30,549 |
sglang | python/sglang/multimodal_gen/test/server/gpu_cases.py | .py | from dataclasses import replace
from pathlib import Path
from sglang.multimodal_gen.runtime.platforms import current_platform
from sglang.multimodal_gen.test.server.testcase_configs import (
MODELOPT_FLUX1_FP8_TRANSFORMER,
MODELOPT_FLUX1_NVFP4_TRANSFORMER,
MODELOPT_FLUX2_FP8_TRANSFORMER,
MODELOPT_FLUX2... | 1,258 | 43,351 |
sglang | python/sglang/multimodal_gen/test/server/test_server_2_gpu.py | .py | """
2 GPU tests
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.gpu_cases import TWO_GPU_CASES
from sglang.multimodal_gen.test.server.test_server_common import ( # noqa: F401
Diffusion... | 21 | 517 |
sglang | python/sglang/multimodal_gen/test/server/conftest.py | .py | import json
import os
import pytest
print("[CONFTEST] Loading conftest.py at import time")
def pytest_configure(config):
"""
Create the perf results StashKey once and store it in config.
This hook runs once per test session, before module double-import issues.
"""
if not hasattr(config, "_diffus... | 166 | 6,057 |
sglang | python/sglang/multimodal_gen/test/server/musa/run_suite.py | .py | """
Test runner for multimodal_gen MUSA suites that manages partitioned execution.
Usage:
python3 -m sglang.multimodal_gen.test.server.musa.run_suite --suite <suite_name>
"""
from __future__ import annotations
import argparse
import os
import sys
from pathlib import Path
import tabulate
TEST_ROOT = Path(__file... | 173 | 4,793 |
sglang | python/sglang/multimodal_gen/test/server/musa/test_server_1_gpu_musa_nightly.py | .py | """
MUSA-specific 1-GPU diffusion performance tests for nightly suite.
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.musa.testcase_configs_musa import (
ONE_GPU_NIGHTLY_MUSA_CASES,
)
... | 23 | 658 |
sglang | python/sglang/multimodal_gen/test/server/musa/test_server_1_gpu_musa.py | .py | """
MUSA-specific 1-GPU diffusion performance tests.
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.musa.testcase_configs_musa import (
ONE_GPU_MUSA_CASES,
)
from sglang.multimodal_gen... | 23 | 602 |
sglang | python/sglang/multimodal_gen/test/server/musa/testcase_configs_musa.py | .py | from __future__ import annotations
from dataclasses import replace
from functools import lru_cache
from sglang.multimodal_gen.test.server.testcase_configs import (
T2V_PROMPT,
DiffusionSamplingParams,
DiffusionServerArgs,
DiffusionTestCase,
MULTI_FRAME_I2I_sampling_params,
MULTI_IMAGE_TI2I_sam... | 135 | 3,780 |
sglang | python/sglang/multimodal_gen/test/server/musa/test_server_2_gpu_musa.py | .py | """
MUSA-specific 2-GPU diffusion performance tests.
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.common.case_fixtures import (
diffusion_case_fixture,
)
from sglang.multimodal_gen.test.server.musa.testcase_configs_musa import (
TWO_GPU_MUSA_CASES,
)
from sglang.multimodal_gen... | 23 | 602 |
sglang | python/sglang/multimodal_gen/test/server/common/slack.py | .py | """
This file upload the media generated in diffusion-nightly-test to a slack channel of SGLang
"""
import logging
import os
import tempfile
from datetime import datetime
from typing import List, Union
from urllib.parse import urlparse
from urllib.request import urlopen
from sglang.multimodal_gen.runtime.utils.perf_l... | 217 | 7,468 |
sglang | python/sglang/multimodal_gen/test/server/common/case_fixtures.py | .py | from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
import pytest
if TYPE_CHECKING:
from sglang.multimodal_gen.test.server.testcase_configs import DiffusionTestCase
def diffusion_case_fixture(cases: Sequence[DiffusionTestCase]):
@pytest.fixture(params=cases, ids=lambda case: case.... | 17 | 420 |
sglang | python/sglang/multimodal_gen/test/server/ascend/test_server_2_npu.py | .py | """
Config-driven diffusion performance test with pytest parametrization.
If the actual run is significantly better than the baseline, the improved cases with their updated baseline will be printed
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.ascend.testcase_configs_npu import TWO_N... | 24 | 719 |
sglang | python/sglang/multimodal_gen/test/server/ascend/test_server_1_npu.py | .py | """
Config-driven diffusion performance test with pytest parametrization.
If the actual run is significantly better than the baseline, the improved cases with their updated baseline will be printed
"""
from __future__ import annotations
from sglang.multimodal_gen.test.server.ascend.testcase_configs_npu import ONE_N... | 24 | 719 |
sglang | python/sglang/multimodal_gen/test/server/ascend/testcase_configs_npu.py | .py | import os
from sglang.multimodal_gen.test.server.testcase_configs import (
T2V_PROMPT,
DiffusionSamplingParams,
DiffusionServerArgs,
DiffusionTestCase,
T2I_sampling_params,
TI2V_sampling_params,
)
MODELSCOPE_MODEL_WEIGHTS_DIR = "/root/.cache/modelscope/hub/models/"
def use_modelscope(name: s... | 201 | 5,756 |
sglang | python/sglang/multimodal_gen/test/scripts/gen_perf_baselines.py | .py | import argparse
import inspect
import json
import os
import re
import sys
from pathlib import Path
from openai import OpenAI
from sglang.multimodal_gen.runtime.platforms import current_platform
from sglang.multimodal_gen.test.server.test_server_utils import (
ServerManager,
get_generate_fn,
)
from sglang.mult... | 216 | 6,891 |
sglang | python/sglang/multimodal_gen/test/scripts/gen_diffusion_ci_outputs.py | .py | #!/usr/bin/env python3
"""
Generate diffusion CI outputs for consistency testing.
This script reuses the CI test code by calling run_suite.py with SGLANG_GEN_GT=1,
ensuring that GT generation uses exactly the same code path as CI tests.
Usage:
python gen_diffusion_ci_outputs.py --suite 1-gpu --partition-id 0 --to... | 229 | 7,970 |
sglang | python/sglang/multimodal_gen/test/unit/test_minimax_h3_adaln_cache.py | .py | # SPDX-License-Identifier: Apache-2.0
import torch
from safetensors.torch import save_file
from sglang.multimodal_gen.configs.models.dits.minimax_h3 import (
MiniMaxH3DiTArchConfig,
)
from sglang.multimodal_gen.runtime.models.dits.minimax_h3 import (
MiniMaxH3AdalnCache,
)
def test_minimax_h3_adaln_cache_ma... | 60 | 1,941 |
sglang | python/sglang/multimodal_gen/test/unit/test_video_sparse_attention.py | .py | import math
import torch
from sglang.multimodal_gen.runtime.layers.attention.backends import (
video_sparse_attn as vsa_module,
)
from sglang.multimodal_gen.runtime.layers.attention.backends.video_sparse_attn import (
VSA_TILE_SIZE,
VideoSparseAttentionImpl,
VideoSparseAttentionMetadataBuilder,
_c... | 107 | 3,435 |
sglang | python/sglang/multimodal_gen/test/unit/test_hf_diffusers_utils.py | .py | import json
import modelscope
import pytest
from huggingface_hub.errors import LocalEntryNotFoundError
from sglang.multimodal_gen.runtime.utils import hf_diffusers_utils
from sglang.multimodal_gen.runtime.utils.hf_diffusers_utils import (
_check_index_files_for_missing_shards,
_is_revisionless_snapshot_root,
... | 342 | 11,637 |
sglang | python/sglang/multimodal_gen/test/unit/test_minimax_h3_admission.py | .py | # SPDX-License-Identifier: Apache-2.0
"""High-value task, partition, and public request admission contracts."""
from __future__ import annotations
from types import SimpleNamespace
from unittest.mock import patch
import pytest
import torch
from sglang.multimodal_gen.configs.pipeline_configs.minimax_h3 import (
... | 370 | 12,157 |
sglang | python/sglang/multimodal_gen/test/unit/test_vae_loader.py | .py | import unittest
from unittest.mock import patch
import torch
from sglang.multimodal_gen.configs.pipeline_configs.ltx_2 import LTX2PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImagePipelineConfig,
)
from sglang.multimodal_gen.configs.pipeline_configs.wan import (
F... | 206 | 9,338 |
sglang | python/sglang/multimodal_gen/test/unit/test_scheduler_client.py | .py | import asyncio
import pickle
import uuid
from types import SimpleNamespace
from unittest.mock import AsyncMock, MagicMock
import pytest
import zmq
import zmq.asyncio
from sglang.multimodal_gen.runtime.scheduler_client import (
AsyncSchedulerClient,
SchedulerClient,
run_zeromq_broker,
)
from sglang.multimo... | 161 | 5,314 |
sglang | python/sglang/multimodal_gen/test/unit/test_served_model_name.py | .py | import asyncio
from types import SimpleNamespace
from unittest.mock import patch
from sglang.multimodal_gen.runtime.entrypoints.openai import common_api
from sglang.multimodal_gen.runtime.entrypoints.openai.common_api import (
DiffusionModelCard,
)
from sglang.multimodal_gen.runtime.entrypoints.openai.protocol imp... | 59 | 1,947 |
sglang | python/sglang/multimodal_gen/test/unit/test_glm_image_ar.py | .py | import unittest
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import torch
from PIL import Image
from sglang.multimodal_gen.configs.sample.glmimage import GlmImageSamplingParams
from sglang.multimodal_gen.runtime.entrypoints.openai.image_api import (
_build_image_response_kwargs,
)
... | 371 | 13,026 |
sglang | python/sglang/multimodal_gen/test/unit/test_precision_consistency.py | .py | import importlib.util
import sys
import types
import unittest
from contextlib import nullcontext
from pathlib import Path
from types import SimpleNamespace
import torch
def _load_precision_module():
package_names = (
"sglang",
"sglang.multimodal_gen",
"sglang.multimodal_gen.runtime",
... | 235 | 8,717 |
sglang | python/sglang/multimodal_gen/test/unit/test_sp_shard.py | .py | """Unit tests for the unified SP shard helpers (pure logic, no distributed)."""
import sys
import pytest
import torch
from sglang.multimodal_gen.runtime.distributed import sp_shard_utils as sps
from sglang.multimodal_gen.runtime.distributed.sp_shard_utils import (
SpShard,
shard_like,
tail_attn_meta,
)
... | 227 | 8,168 |
sglang | python/sglang/multimodal_gen/test/unit/test_text_encoder_loader.py | .py | import unittest
from types import SimpleNamespace
from unittest import mock
import transformers
from sglang.multimodal_gen.runtime.loader.component_loaders.text_encoder_loader import (
TextEncoderLoader,
)
from sglang.multimodal_gen.runtime.models.encoders.minimax_h3_qwen3vl import (
MiniMaxH3Qwen3VLEncoder,
... | 107 | 4,172 |
sglang | python/sglang/multimodal_gen/test/unit/test_weight_only_fp8_dequant_cache.py | .py | import os
import unittest
from unittest.mock import patch
import torch
from sglang.multimodal_gen.runtime.layers.quantization.weight_only_fp8 import (
FP8_WEIGHT_DTYPE,
WeightOnlyFP8Linear,
dequantize_rowwise_fp8_weight,
)
from sglang.test.test_utils import CustomTestCase
def _make_linear(device: torch.... | 95 | 3,835 |
sglang | python/sglang/multimodal_gen/test/unit/test_subblock_sparse_attention.py | .py | # SPDX-License-Identifier: Apache-2.0
"""SubBlock block-sparse attention backend.
The schedule tests are pure CPU. The numerical tests need an SM100 GPU with
FlashInfer's ``bsa_attn_blk64_fwd`` and are skipped otherwise.
The trick that makes the sparse kernel checkable against dense attention: at
``sparsity`` just ab... | 358 | 13,656 |
sglang | python/sglang/multimodal_gen/test/unit/test_diffusion_bcg_padding.py | .py | import unittest
from types import SimpleNamespace
from unittest.mock import patch
import torch
from sglang.multimodal_gen.runtime.breakable_cuda_graph.runner import (
DiffusionBreakableCudaGraphRunner,
_CaptureEntry,
_signature_kwargs,
)
from sglang.multimodal_gen.runtime.layers.attention import (
Dyn... | 564 | 23,361 |
sglang | python/sglang/multimodal_gen/test/unit/test_component_accuracy_inputs.py | .py | from types import SimpleNamespace
import torch.nn as nn
from sglang.multimodal_gen.test.single_test_file.component_accuracy.hooks import (
_build_transformer_hook_inputs,
)
class _TransformerWithOptionalMask(nn.Module):
def forward(
self,
hidden_states,
encoder_hidden_states,
... | 46 | 1,185 |
sglang | python/sglang/multimodal_gen/test/unit/test_wan_attention_backend.py | .py | import unittest
from unittest.mock import patch
from torch import nn
from sglang.multimodal_gen.runtime.models.dits.wanvideo import WanSelfAttention
from sglang.multimodal_gen.runtime.platforms import AttentionBackendEnum
_WAN = "sglang.multimodal_gen.runtime.models.dits.wanvideo"
class TestWanAttentionBackendRole... | 37 | 1,251 |
sglang | python/sglang/multimodal_gen/test/unit/test_resolve_prompts.py | .py | import os
import tempfile
import unittest
from types import SimpleNamespace
from sglang.multimodal_gen.runtime.entrypoints.diffusion_generator import DiffGenerator
def _make_generator(prompt_file_path=None):
"""Return a DiffGenerator-shaped object with only server_args populated."""
obj = object.__new__(Diff... | 101 | 3,567 |
sglang | python/sglang/multimodal_gen/test/unit/test_cfg_gating.py | .py | import os
import unittest
from types import SimpleNamespace
from unittest.mock import patch
import torch
from sglang.multimodal_gen.runtime.distributed.cfg_policy import CFGPolicy
from sglang.multimodal_gen.runtime.pipelines_core.stages.denoising import (
DenoisingStage,
)
class _PipelineConfig:
def get_cla... | 181 | 6,318 |
sglang | python/sglang/multimodal_gen/test/unit/test_fsdp_load.py | .py | # SPDX-License-Identifier: Apache-2.0
import tempfile
import unittest
from pathlib import Path
from unittest.mock import patch
import torch
from safetensors.torch import safe_open, save_file
from torch import nn
from sglang.multimodal_gen.runtime.layers.linear import ReplicatedLinear
from sglang.multimodal_gen.runti... | 361 | 14,314 |
sglang | python/sglang/multimodal_gen/test/unit/test_encoder_world_folding.py | .py | """Unit test for the encoder_parallel decision.
adjust_pipeline_config proposes a fold group from the parallelism alone;
finalize_encoder_folding resolves fold-vs-replicate per policy on real dims;
encoder_dp_worthwhile gates the runtime batch data-parallel. Pure logic, no
GPU / distributed init (the fold group is mon... | 287 | 10,228 |
sglang | python/sglang/multimodal_gen/test/unit/test_cfg_parallel_warmup.py | .py | """Unit tests for the --enable-cfg-parallel warmup fix and guard.
Covers warmup and cfg-parallel guard paths introduced alongside this file:
- build_warmup_reqs synthesizes warmup Reqs that actually enable
classifier-free guidance when cfg-parallel is on.
- DiffGenerator sends explicit warmup resolutions through the... | 972 | 38,503 |
sglang | python/sglang/multimodal_gen/test/unit/test_dp_routing.py | .py | """Routing invariants for DP serving.
Generation requests go to exactly one replica, control ops reach every replica,
and a realtime session always lands on the same replica it started on.
"""
import itertools
from sglang.multimodal_gen.runtime.entrypoints.utils import SetLoraReq, ShutdownReq
from sglang.multimodal_... | 72 | 2,538 |
sglang | python/sglang/multimodal_gen/test/unit/test_component_accuracy_parallel_runtime.py | .py | from contextlib import ExitStack
from types import SimpleNamespace
from unittest.mock import call, patch
from sglang.multimodal_gen.runtime.distributed import parallel_state
from sglang.multimodal_gen.runtime.distributed.device_communicators.ipc_a2a import (
IPC_A2A,
)
from sglang.multimodal_gen.runtime.distribute... | 116 | 4,263 |
sglang | python/sglang/multimodal_gen/test/unit/test_qwen3_encoder.py | .py | from types import SimpleNamespace
import torch
from sglang.multimodal_gen.runtime.models.encoders.qwen3 import Qwen3ForCausalLM
class _CaptureLayer(torch.nn.Module):
def __init__(self):
super().__init__()
self.position_ids = None
self.attention_lengths = None
def forward(self, posit... | 51 | 1,674 |
sglang | python/sglang/multimodal_gen/test/unit/test_usp_attention_kv_gather.py | .py | import unittest
from types import SimpleNamespace
from unittest.mock import patch
import torch
import torch.nn.functional as F
from sglang.multimodal_gen.runtime.layers.attention.layer import (
UlyssesAttention,
UlyssesAttention_VSA,
USPAttention,
_count_active_replicated_modes,
_kv_gather_unsuppo... | 367 | 13,858 |
sglang | python/sglang/multimodal_gen/test/unit/test_pipeline_stage_profiling.py | .py | import unittest
from types import SimpleNamespace
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
class NamedNoOpStage(PipelineStage):
def __init__(self):
self.server_args = SimpleNamespace(
... | 42 | 1,364 |
sglang | python/sglang/multimodal_gen/test/unit/test_varlen_meta_host_build.py | .py | """Host-built varlen metadata must match the mask-based (nonzero) builder."""
import unittest
import torch
from sglang.multimodal_gen.runtime.layers.attention.layer import (
build_varlen_mask_meta,
build_varlen_mask_meta_from_ranges,
)
class TestHostVarlenMetaEquivalence(unittest.TestCase):
def test_pr... | 37 | 1,166 |
sglang | python/sglang/multimodal_gen/test/unit/test_wan_pipeline_config.py | .py | from types import SimpleNamespace
import torch
from sglang.multimodal_gen.configs.pipeline_configs.wan import WanT2V480PConfig
def test_wan_prompt_embed_accessors_return_transformer_tensor():
prompt_embeds = torch.empty(1, 2, 3)
negative_prompt_embeds = torch.empty(1, 2, 3)
batch = SimpleNamespace(
... | 20 | 589 |
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