class_docstr: Abstract class for sparse matrix types.
class_docstr_tok: ["Abstract","class","for","sparse","matrix","types","."]
docstr: Return the matrix's handle data iff in eager mode.
docstr_tok: ["Return","the","matrix","'s","handle","data","iff","in","eager","mode","."]
code: def eager_handle_data(self):
      """Return the matrix's handle data iff in eager mode."""
      return (
          _get_handle_data(self._matrix) if self._eager_mode else None
      )
  
imports: import abc
  import collections
  from tensorflow.python.eager import context
  from tensorflow.python.framework import cpp_shape_inference_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops.linalg.sparse import gen_sparse_csr_matrix_ops
  from tensorflow.python.ops.linalg.sparse.gen_sparse_csr_matrix_ops import *
label_desc: Use image node_id 9 for calling the SparseMatrix obj's underlying member method code with example usage: obj.eager_handle_data() and returns: unknown