code: def testDenseFromConstantToSparse(self):
      expected_constant = np.reshape(
          np.arange(24, dtype=np.int64), (3, 4, 2)
      )
      tensor = constant_op.constant(expected_constant)
      sparse = sparse_ops.from_dense(tensor)
      dense = sparse_ops.sparse_to_dense(
          sparse.indices, sparse.dense_shape, sparse.values
      )
      constant = self.evaluate(dense)
      self.assertAllEqual(expected_constant, constant)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_grad
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_grad
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the SparseOpsTest obj's underlying member method code with example usage: obj.testDenseFromConstantToSparse() without return types