class_docstr: Concatenate with padding operating on pairs to combine with rev-nets.
class_docstr_tok: ["Concatenate","with","padding","operating","on","pairs","to","combine","with","rev-nets","."]
docstr: Sets layer-specific internal state.
docstr_tok: ["Sets","layer-specific","internal","state","."]
code: def init_weights_and_state(self, input_signature):
      """Sets layer-specific internal state."""
      del input_signature
      self.state = jnp.array(0, dtype=jnp.int32)
  
imports: from trax import fastmath
  from trax import layers
  from trax.fastmath import numpy
  from trax.models.research import configurable_transformer
label_desc: Use image node_id 2 for calling the ConcatWithPadding2 obj's underlying member method code with example usage: obj.init_weights_and_state(input_signature) without return types