docs: def _apply_conv(self, inputs, w):
      """Apply a depthwise_conv2d operation on `inputs` using variable `w`.
  
      Args:
        inputs: A Tensor of shape `data_format` and of type `tf.float16`,
            `tf.bfloat16` or `tf.float32`.
        w: A weight matrix of the same type as `inputs`.
  
      Returns:
        outputs: The result of the convolution operation on `inputs`.
      """
      tiled_weights = tf.tile(w, [1, 1, self._input_channels, 1])
      outputs = tf.nn.depthwise_conv2d(inputs,
                                       tiled_weights,
                                       strides=self.stride,
                                       padding=self._conv_op_padding,
                                       data_format=self._data_format)
      return outputs