class_docstr: Pruning schedule with constant sparsity, applied at any step.
class_docstr_tok: ["Pruning","schedule","with","constant","sparsity",",","applied","at","any","step","."]
code: def get_config(self):
      return {
          "class_name": self.__class__.__name__,
          "config": {
              "target_sparsity": self.target_sparsity,
          },
      }
  
file_path: model-optimization/tensorflow_model_optimization/python/core/sparsity/keras/tools/sparsity_tooling.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import metrics
  from tensorflow_model_optimization.python.core.sparsity.keras import prune
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_wrapper
label_desc: Use image node_id 3 for calling the StepIndependentConstantSparsity obj's underlying member method code with example usage: obj.get_config() and returns: dict