class_docstr: Convolution with weight standardized kernel.
class_docstr_tok: ["Convolution","with","weight","standardized","kernel","."]
code: def param(self, name: str, *args, **kwargs):
      param = super().param(name, *args, **kwargs)
      if name == "kernel":
          param = weight_standardize(param, axis=[0, 1, 2], eps=1e-10)
      return param
  
imports: from typing import Any, Dict, Optional, Sequence, Tuple, Union
  from absl import logging
  import flax
  import flax.linen
  import jax.numpy
  import ml_collections
  from scenic.common_lib import debug_utils
  from scenic.model_lib.base_models.classification_model import ClassificationModel
  from scenic.model_lib.base_models.multilabel_classification_model import MultiLabelClassificationModel
  from scenic.model_lib.layers import nn_layers
label_desc: Use image node_id 1 for calling the StdConv obj's underlying member method code with example usage: obj.param(name) and returns: param