class_docstr: Concatenates two length padded (B, L, H) arrays (of different lenghts).
class_docstr_tok: ["Concatenates","two","length","padded","(","B",",","L",",","H",")","arrays","(","of","different","lenghts",")","."]
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 ConcatWithPadding obj's underlying member method code with example usage: obj.init_weights_and_state(input_signature) without return types