class_docstr: Computes the forward decoding in a linear-chain CRF.
class_docstr_tok: ["Computes","the","forward","decoding","in","a","linear-chain","CRF","."]
docstr: Creates the variables of the layer.
docstr_tok: ["Creates","the","variables","of","the","layer","."]
code: def build(
      self, input_shape: Union[TensorShape, List[TensorShape]]
  ) -> None:
      """Creates the variables of the layer."""
      super().build(input_shape)
  
imports: import tensorflow
  from tensorflow import TensorShape
  from tensorflow.types.experimental import TensorLike
  from typing import Tuple, Any, List, Union, Optional
label_desc: Use image node_id 4 for calling the CrfDecodeForwardRnnCell obj's underlying member method code with example usage: obj.build(input_shape) without return types