code: def testMinimizeSparseResourceVariable(self):
      for dtype in [dtypes.float32, dtypes.float64]:
          with ops.Graph().as_default(), self.cached_session():
              var0 = resource_variable_ops.ResourceVariable(
                  [[1.0, 2.0]], dtype=dtype
              )
              x = constant_op.constant([[4.0], [5.0]], dtype=dtype)
              pred = math_ops.matmul(
                  embedding_ops.embedding_lookup([var0], [0]), x
              )
              loss = pred * pred
              sgd_op = proximal_gradient_descent.ProximalGradientDescentOptimizer(
                  1.0
              ).minimize(
                  loss
              )
              self.evaluate(variables.global_variables_initializer())
              # Fetch params to validate initial values
              self.assertAllCloseAccordingToType(
                  [[1.0, 2.0]], self.evaluate(var0)
              )
              # Run 1 step of sgd
              sgd_op.run()
              # Validate updated params
              self.assertAllCloseAccordingToType(
                  [[-111, -138]], self.evaluate(var0), atol=0.01
              )
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import embedding_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import gradient_descent
  from tensorflow.python.training import proximal_gradient_descent
label_desc: Use image node_id 5 for calling the ProximalGradientDescentOptimizerTest obj's underlying member method code with example usage: obj.testMinimizeSparseResourceVariable() without return types