class_docstr: Mean absolute error function.
class_docstr_tok: ["Mean","absolute","error","function","."]
code: def forward_gpu(self, inputs):
      x0, x1 = inputs
      self.diff = x0 - x1
      orig_dtype = self.diff.dtype
      dtype = _get_intermediate_dtype(orig_dtype)
      diff = self.diff.ravel().astype(dtype, copy=False)
      return (
          (abs(diff).sum() / diff.dtype.type(diff.size)).astype(
              orig_dtype, copy=False
          ),
      )
  
file_path: chainer/chainer/functions/loss/mean_absolute_error.py
imports: import numpy
  import chainer
  from chainer import backend
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the MeanAbsoluteError obj's underlying member method code with example usage: obj.forward_gpu(inputs) and returns: unknown