class_docstr: Optimizer that implements the gradient descent algorithm.
    
class_docstr_tok: ["Optimizer","that","implements","the","gradient","descent","algorithm","."]
code: def _resource_apply_dense(self, grad, handle):
      return gen_training_ops.resource_apply_gradient_descent(
          handle.handle,
          math_ops.cast(
              self._learning_rate_tensor, grad.dtype.base_dtype
          ),
          grad,
          use_locking=self._use_locking,
      )
  
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 3 for calling the GradientDescentOptimizer obj's underlying member method code with example usage: obj._resource_apply_dense(grad, handle) and returns: gen_training_ops