fix "can not find model issue when running libtorch runtime" (#2504)

Yu Cao

2025-10-01 c4ac64fd5d24bb3fc8ccc441d36a07c83c8b9015

 setup.py

@@ -10,29 +10,23 @@

requirements = {
    "install": [
        # "setuptools>=38.5.1",
        "humanfriendly",
        "scipy>=1.4.1",
        "librosa",
        # "jamo",  # For kss
        "jamo",  # For kss
        "PyYAML>=5.1.2",
        # "soundfile>=0.12.1",
        # "h5py>=3.1.0",
        "soundfile>=0.12.1",
        "kaldiio>=2.17.0",
        # "torch_complex",
        "torch_complex",
        # "nltk>=3.4.5",
        # ASR
        "sentencepiece", # train
        "sentencepiece",  # train
        "jieba",
        # "rotary_embedding_torch",
        # "ffmpeg-python",
        # TTS
        # "pypinyin>=0.44.0",
        # "espnet_tts_frontend",
        # ENH
        # "pytorch_wpe",
        "pytorch_wpe",
        "editdistance>=0.5.2",
        "tensorboard",
        # "g2p",
        # "nara_wpe",
        # PAI
@@ -41,13 +35,17 @@
        # "textgrid",
        # "protobuf",
        "tqdm",
        "hdbscan",
        "umap",
        "umap_learn",
        "jaconv",
        "hydra-core>=1.3.2",
        "tensorboardX",
        # "rotary_embedding_torch",
        "requests",
        "modelscope",
    ],
    # train: The modules invoked when training only.
    "train": [
        "editdistance",
        "wandb",
    ],
    # all: The modules should be optionally installled due to some reason.
    #      Please consider moving them to "install" occasionally
@@ -56,6 +54,7 @@
        "torch_optimizer",
        "fairscale",
        "transformers",
        "openai-whisper",
    ],
    "setup": [
        "numpy",
@@ -83,18 +82,28 @@
        "recommonmark>=0.4.0",
        "nbsphinx>=0.4.2",
        "sphinx-markdown-tables>=0.0.12",
        "configargparse>=1.2.1"
        "configargparse>=1.2.1",
    ],
    "llm": [
        "transformers>=4.32.0",
        "accelerate",
        "tiktoken",
        "einops",
        "transformers_stream_generator>=0.0.4",
        "scipy",
        "torchvision",
        "pillow",
        "matplotlib",
    ],
}
requirements["all"].extend(requirements["train"])
requirements["all"].extend(requirements["llm"])
requirements["test"].extend(requirements["train"])

install_requires = requirements["install"]
setup_requires = requirements["setup"]
tests_require = requirements["test"]
extras_require = {
    k: v for k, v in requirements.items() if k not in ["install", "setup"]
}
extras_require = {k: v for k, v in requirements.items() if k not in ["install", "setup"]}

dirname = os.path.dirname(__file__)
version_file = os.path.join(dirname, "funasr", "version.txt")
@@ -129,7 +138,17 @@
        "License :: OSI Approved :: Apache Software License",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    entry_points={"console_scripts": [
        "funasr = funasr.bin.inference_cli:main",
    ]},
    entry_points={
        "console_scripts": [
            "funasr = funasr.bin.inference:main_hydra",
            "funasr-train = funasr.bin.train:main_hydra",
            "funasr-export = funasr.bin.export:main_hydra",
            "scp2jsonl = funasr.datasets.audio_datasets.scp2jsonl:main_hydra",
            "jsonl2scp = funasr.datasets.audio_datasets.jsonl2scp:main_hydra",
            "sensevoice2jsonl = funasr.datasets.audio_datasets.sensevoice2jsonl:main_hydra",
            "funasr-scp2jsonl = funasr.datasets.audio_datasets.scp2jsonl:main_hydra",
            "funasr-jsonl2scp = funasr.datasets.audio_datasets.jsonl2scp:main_hydra",
            "funasr-sensevoice2jsonl = funasr.datasets.audio_datasets.sensevoice2jsonl:main_hydra",
        ]
    },
)