class_docstr: Split the input tensor into 2 tensors along the time dimension.
class_docstr_tok: ["Split","the","input","tensor","into","2","tensors","along","the","time","dimension","."]
code: def call(self, inputs):
      # Expect the input to be 3D and mask to be 2D, split the input tensor into 2
      # subtensors along the time axis (axis 1).
      return ops.split(inputs, 2, axis=1)
  
imports: import numpy
  import keras
  from keras import ops
  from keras import layers
label_desc: Use image node_id 1 for calling the TemporalSplit obj's underlying member method code with example usage: obj.call(inputs) and returns: ops