class_docstr: A helper model so we can manange models more easily. It contains net def
  and parameter storages. You can add an Operator yourself, e.g.
  
      model = model_helper.ModelHelper(name="train_net")
      # init your weight and bias as w and b
      w = model.param_init_net.XavierFill(...)
      b = model.param_init_net.ConstantFill(...)
      fc1 = model.FC([input, w, b], output, **kwargs)
  
  or you can use helper functions in brew module without manually
  defining parameter initializations and operators.
  
      model = model_helper.ModelHelper(name="train_net")
      fc1 = brew.fc(model, input, output, dim_in, dim_out, **kwargs)
docstr: Returns the computed params in current namescope. 'Computed params'
  are such parameters that are not optimized via gradient descent but are
  directly computed from data, such as the running mean and variance
  of Spatial Batch Normalization.
code: def GetComputedParams(self, namescope=None):
      """
      Returns the computed params in current namescope. 'Computed params'
      are such parameters that are not optimized via gradient descent but are
      directly computed from data, such as the running mean and variance
      of Spatial Batch Normalization.
      """
      namescope = ModelHelper._NormalizeNamescope(namescope)
  
      if namescope == "":
          return self._computed_params[:]
      else:
          return [
              p
              for p in self._computed_params
              if p.GetNameScope().startswith(namescope)
          ]
  
imports: from caffe2.python import core, scope, workspace
  from caffe2.python.helpers.db_input import db_input
  from caffe2.python.modeling import parameter_info
  from caffe2.python.modeling.parameter_sharing import parameter_sharing_context
  from caffe2.python.optimizer_context import OptimizerContext, DEFAULT_OPTIM
  from caffe2.python.regularizer_context import RegularizerContext
  from itertools import chain
  import logging
label_desc: Use image node_id 22 for calling the ModelHelper obj's underlying member method code with example usage: obj.GetComputedParams(namescope) and returns: self, unknown