code: def remap(self, indices, noise=None):
      self.filter_num = len(indices)
      self._init["kernel"] = self._init["kernel"][:, :, :, indices]
      self._init["kernel"] = apply_noise(
          self._init["kernel"], noise.get("wider")
      )
      if not self.pre_activation:
          self.widen_bn(indices, None, noise=noise)
      return self
  
imports: from models.basic_model import BasicModel
  import tensorflow
  import numpy
  import copy
label_desc: Use image node_id 10 for calling the ConvLayer obj's underlying member method code with example usage: obj.remap(indices, noise) and returns: self