streamv2v/tools/install-tensorrt.py

from typing import Literal, Optional

import fire
from packaging.version import Version

from ..pip_utils import is_installed, run_pip, version
import platform


def get_cuda_version_from_torch() -> Optional[Literal["11", "12"]]:
    try:
        import torch
    except ImportError:
        return None

    return torch.version.cuda.split(".")[0]


def install(cu: Optional[Literal["11", "12"]] = get_cuda_version_from_torch()):
    if cu is None or cu not in ["11", "12"]:
        print("Could not detect CUDA version. Please specify manually.")
        return
    print("Installing TensorRT requirements...")

    if is_installed("tensorrt"):
        if version("tensorrt") < Version("9.0.0"):
            run_pip("uninstall -y tensorrt")

    cudnn_name = f"nvidia-cudnn-cu{cu}==8.9.4.25"

    if not is_installed("tensorrt"):
        run_pip(f"install {cudnn_name} --no-cache-dir")
        run_pip(
            "install --pre --extra-index-url https://pypi.nvidia.com tensorrt==9.0.1.post11.dev4 --no-cache-dir"
        )

    if not is_installed("polygraphy"):
        run_pip(
            "install polygraphy==0.47.1 --extra-index-url https://pypi.ngc.nvidia.com"
        )
    if not is_installed("onnx_graphsurgeon"):
        run_pip(
            "install onnx-graphsurgeon==0.3.26 --extra-index-url https://pypi.ngc.nvidia.com"
        )
    # if platform.system() == 'Windows' and not is_installed("pywin32"):
    #     run_pip(
    #         "install pywin32"
    #     )

    pass


if __name__ == "__main__":
    fire.Fire(install)