class_docstr: Abstract class for sparse matrix types.
class_docstr_tok: ["Abstract","class","for","sparse","matrix","types","."]
docstr: Return the hermitian transpose of the matrix.
docstr_tok: ["Return","the","hermitian","transpose","of","the","matrix","."]
code: def hermitian_transpose(self):
      """Return the hermitian transpose of the matrix."""
      return self._from_matrix(
          sm_ops.sparse_matrix_transpose(
              self._matrix, conjugate=True, type=self.dtype
          ),
          self.eager_handle_data,
      )
  
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 11 for calling the SparseMatrix obj's underlying member method code with example usage: obj.hermitian_transpose() and returns: self