class_docstr: Just the engineered features from InfinitePositionalEncoding.
class_docstr_tok: ["Just","the","engineered","features","from","InfinitePositionalEncoding","."]
code: def init_weights_and_state(self, input_signature):
      if self._mode == "predict":
          batch_size = input_signature.shape[0]
          self.state = jnp.zeros((batch_size,), dtype=jnp.int32)
  
imports: import logging
  import jax
  import jax.extend
  import numpy
  import trax
  from trax import fastmath
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers import initializers
label_desc: Use image node_id 4 for calling the TimeBinPositionalEncoding obj's underlying member method code with example usage: obj.init_weights_and_state(input_signature) without return types