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 __call__(self, step):
      return (True, tf.constant(self.target_sparsity, dtype=tf.float32))
  
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 2 for calling the StepIndependentConstantSparsity obj's underlying member method code with example usage: obj.__call__(step) and returns: True,  tf