Function min

monai/transforms/utils_pytorch_numpy_unification.py:528–547

`torch.min` with equivalent implementation for numpy Args: x: array/tensor. Returns: the minimum of x.

(x: NdarrayTensor, dim: int | tuple | None = None, **kwargs)

def min(x: NdarrayTensor, dim: int | tuple | None = None, **kwargs) -> NdarrayTensor:
    """`torch.min` with equivalent implementation for numpy

    Args:
        x: array/tensor.

    Returns:
        the minimum of x.
    """

    ret: NdarrayTensor
    if dim is None:
        ret = np.min(x, **kwargs) if isinstance(x, (np.ndarray, list)) else torch.min(x, **kwargs)  # type: ignore
    else:
        if isinstance(x, (np.ndarray, list)):
            ret = np.min(x, axis=dim, **kwargs)
        else:
            ret = torch.min(x, int(dim), **kwargs)  # type: ignore

    return ret[0] if isinstance(ret, tuple) else ret


def std(x: NdarrayTensor, dim: int | tuple | None = None, unbiased: bool = False) -> NdarrayTensor: