code: def binary_cross_entropy_with_logits(x: Tensor, y: Tensor) -> Tensor:
      """Calls BCE with logits and cast the target one_hot (y) encoding to floating point precision."""
      return F.binary_cross_entropy_with_logits(x, y.float())
  
imports: from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Union
  import torch
  import torch.nn.functional
  from pytorch_lightning.utilities import rank_zero_warn
  from torch import Tensor
  from torchmetrics import Accuracy, F1Score, Metric
  from flash.core.adapter import AdapterTask
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.output import Output
  from flash.core.model import Task
  from flash.core.registry import FlashRegistry
  from flash.core.utilities.imports import _FIFTYONE_AVAILABLE, lazy_import, requires
  from flash.core.utilities.providers import _FIFTYONE
label_desc: Use image node_id 1 for calling a global function with example usage: binary_cross_entropy_with_logits(x, y) and returns: F