class_docstr: Separable 2-D Depthwise Convolution Module.
class_docstr_tok: ["Separable","2-D","Depthwise","Convolution","Module","."]
code: def __call__(self, inputs: jax.Array) -> jax.Array:
      return self._conv2(self._conv1(inputs))
  
imports: from collections.abc import Sequence
  from typing import Optional, Union
  from haiku._src import base
  from haiku._src import initializers
  from haiku._src import module
  from haiku._src import utils
  import jax
  from jax import lax
  import jax.numpy
  import numpy
label_desc: Use image node_id 2 for calling the SeparableDepthwiseConv2D obj's underlying member method code with example usage: obj.__call__(inputs) and returns: self