code: def hinge_embedding_loss(
      input: paddle.Tensor,
      target: paddle.Tensor,
      *,
      margin: float = 1.0,
      reduction: str = "mean",
  ) -> paddle.Tensor:
      return paddle.nn.functional.hinge_embedding_loss(
          input,
          target,
          margin=margin,
          reduction=reduction,
      )
  
file_path: ivy/ivy/functional/backends/paddle/experimental/losses.py
imports: from typing import Optional
  import paddle
  import paddle.nn.functional
  import math
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_supported_device_and_dtypes
  from .None import backend_version
label_desc: Use image node_id 9 for calling a global function with example usage: hinge_embedding_loss(input, target) and returns: paddle