class_docstr: Type specification for a `tf.sparse.SparseTensor`.
class_docstr_tok: ["Type","specification","for","a","`","tf.sparse.SparseTensor","`","."]
docstr: The `tf.dtypes.DType` specified by this type for the SparseTensor.
docstr_tok: ["The","`","tf.dtypes.DType","`","specified","by","this","type","for","the","SparseTensor","."]
code: def dtype(self):
      """The `tf.dtypes.DType` specified by this type for the SparseTensor."""
      return self._dtype
  
imports: import collections
  import numpy
  from tensorflow.core.protobuf import struct_pb2
  from tensorflow.python import pywrap_tensorflow
  from tensorflow.python import tf2
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import override_binary_operator
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.framework import type_spec_registry
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.types import internal
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling the SparseTensorSpec obj's underlying member method code with example usage: obj.dtype() and returns: self