code: def from_task(
      cls,
      *args,
      task: AdapterTask,
      backbone: nn.Module,
      head: nn.Module,
      algorithm: Type[LightningModule],
      **kwargs,
  ) -> Adapter:
      if "meta_batch_size" not in kwargs:
          raise TypeError(
              "The `meta_batch_size` should be provided as training_strategy_kwargs={'meta_batch_size'=...}. "
              "This is equivalent to the epoch length."
          )
      if "shots" not in kwargs:
          raise TypeError(
              "The `shots` should be provided training_strategy_kwargs={'shots'=...}. "
              "This is equivalent to the number of sample per label to select within a task."
          )
      adapter = cls(backbone, head, algorithm, **kwargs)
      adapter.__dict__["_task"] = task
      return adapter
  
imports: import functools
  import inspect
  import os
  from collections import defaultdict
  from functools import partial
  from typing import Any, Callable, List, Optional, Type
  import torch
  from lightning_utilities.core.rank_zero import WarningCache
  from pytorch_lightning import LightningModule
  from pytorch_lightning.strategies import DataParallelStrategy, DDPSpawnStrategy, DDPStrategy
  from pytorch_lightning.trainer.states import TrainerFn
  from torch import Tensor, nn
  from torch.utils.data import DataLoader, IterableDataset, Sampler
  import flash
  from flash.core.adapter import Adapter, AdapterTask
  from flash.core.data.io.input import DataKeys, InputBase
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.model import Task
  from flash.core.registry import FlashRegistry
  from flash.core.utilities.compatibility import accelerator_connector
  from flash.core.utilities.imports import _LEARN2LEARN_AVAILABLE
  from flash.core.utilities.providers import _LEARN2LEARN
  from flash.core.utilities.stability import beta
  from flash.core.utilities.url_error import catch_url_error
  from flash.image.classification.integrations.learn2learn import TaskDataParallel, TaskDistributedDataParallel
label_desc: Use image node_id 7 for calling the Learn2LearnAdapter obj's underlying member method code with example usage: obj.from_task(cls) and returns: adapter