class_docstr: Softmax activation followed by a cross entropy loss.
class_docstr_tok: ["Softmax","activation","followed","by","a","cross","entropy","loss","."]
code: def _is_chainerx_supported(self, input_arrays):
      # Determines if the specified configuration of inputs and parameters
      # are supported in `forward_chainerx` implementation.
      # TODO(niboshi): Support these conditions.
      if self.class_weight is not None:
          return False
      if self.ignore_label != -1:
          return False
  
      x, t = input_arrays
  
      if x.ndim != 2:
          return False
  
      return True
  
imports: import numpy
  import six
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.functions.activation import log_softmax
  from chainer.utils import type_check
  from chainer import variable
  import chainerx
label_desc: Use image node_id 3 for calling the SoftmaxCrossEntropy obj's underlying member method code with example usage: obj._is_chainerx_supported(input_arrays) and returns: True, False, False, False