code: def sigmoid_cross_entropy_with_logits(
      *, labels: Array, logits: Array
  ) -> Array:
      """Sigmoid cross entropy loss."""
      zeros = jnp.zeros_like(logits, dtype=logits.dtype)
      condition = logits >= zeros
      relu_logits = jnp.where(condition, logits, zeros)
      neg_abs_logits = jnp.where(condition, -logits, logits)
      return (
          relu_logits
          - logits * labels
          + jnp.log1p(jnp.exp(neg_abs_logits))
      )
  
imports: from typing import Any, Callable, Dict, Iterable, Optional, Sequence, Tuple, Union
  from absl import logging
  from flax import struct
  from flax.metrics import tensorboard
  from flax.training import train_state
  import jax
  import jax.numpy
  import ml_collections
  import numpy
  import optax
  import tensorflow
  import input_pipeline
  import models
label_desc: Use image node_id 1 for calling a global function with example usage: sigmoid_cross_entropy_with_logits() and returns: unknown