code: def logsumexp(x, axis=None, keepdims=False):
      max_x = np.max(x, axis=axis, keepdims=True)
      result = (
          np.log(np.sum(np.exp(x - max_x), axis=axis, keepdims=True))
          + max_x
      )
      return np.squeeze(result) if not keepdims else result
  
imports: import numpy
  from keras.backend import standardize_dtype
  from keras.backend.jax.math import fft
  from keras.backend.jax.math import fft2
  from keras.backend.numpy.core import convert_to_tensor
  from keras.utils.module_utils import scipy
label_desc: Use image node_id 5 for calling a global function with example usage: logsumexp(x, axis, keepdims) and returns: unknown