class_docstr: Optimizer that implements the gradient descent algorithm.
    
class_docstr_tok: ["Optimizer","that","implements","the","gradient","descent","algorithm","."]
code: def _prepare(self):
      learning_rate = self._call_if_callable(self._learning_rate)
      self._learning_rate_tensor = ops.convert_to_tensor(
          learning_rate, name="learning_rate"
      )
  
file_path: tensorflow-upstream/tensorflow/python/training/gradient_descent.py
imports: from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import gen_training_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.training import optimizer
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 6 for calling the GradientDescentOptimizer obj's underlying member method code with example usage: obj._prepare() without return types