Source code for pyflink.dataframe.gpu

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import json
import os
from typing import List




class GPUInfo:
    """GPU device information allocated to the current Python worker.

    Attributes:
        index: GPU device index (e.g., 0, 1).
        type: GPU device type (e.g., "A10", "V100").
        amount: Fractional GPU amount allocated (e.g., 0.5, 1.0).
    """

    def __init__(self, index: int, type: str, amount: float):
        self.index = index
        self.type = type
        self.amount = amount

    def __repr__(self):
        return f"GPUInfo(index={self.index}, type='{self.type}', amount={self.amount})"

    def __eq__(self, other):
        if not isinstance(other, GPUInfo):
            return False
        return self.index == other.index and self.type == other.type and self.amount == other.amount

    def __hash__(self):
        return hash((self.index, self.type, self.amount))





def get_gpu_infos() -> List[GPUInfo]:
    """Get GPU information allocated to the current Python worker.

    Reads the ``_PYFLINK_GPU_INFOS`` environment variable set by the Java operator
    and returns a list of :class:`GPUInfo` objects.

    Returns:
        List of GPUInfo. Empty list if no GPU is allocated.
    """
    gpu_infos_json = os.environ.get("_PYFLINK_GPU_INFOS")
    if not gpu_infos_json:
        return []

    infos = json.loads(gpu_infos_json)
    return [GPUInfo(index=info["index"], type=info["type"], amount=info["amount"])
            for info in infos]