class_docstr: A causal depthwise convolution layer.
docstr: Randomly initializes this layer's weights.
docstr_tok: ["Randomly","initializes","this","layer","'s","weights","."]
code: def init_weights_and_state(self, input_signature):
      """Randomly initializes this layer's weights."""
      shape_w = (self._kernel_size, input_signature.shape[-1])
      rng_w, _ = fastmath.random.split(self.rng, 2)
      w = self._kernel_initializer(shape_w, rng_w)
      if self._use_bfloat16:
          w = w.astype(jnp.bfloat16)
      self.weights = w
  
imports: import functools
  import itertools
  import operator
  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 3 for calling the CausalDepthwiseConv obj's underlying member method code with example usage: obj.init_weights_and_state(input_signature) without return types