class_docstr: Instrument interface.
class_docstr_tok: ["Instrument","interface","."]
docstr: Returns a string tensor of names and instrument types.
  
  The shape of the output is  [batch_shape, 2].
docstr_tok: ["Returns","a","string","tensor","of","names","and","instrument","types",".","The","shape","of","the","output","is","[","batch_shape",",","2","]","."]
code: def names(self) -> types.StringTensor:
      """Returns a string tensor of names and instrument types.
  
      The shape of the output is  [batch_shape, 2].
      """
      pass
  
file_path: tf-quant-finance/tf_quant_finance/experimental/pricing_platform/framework/core/instrument.py
imports: import abc
  from typing import Any, Dict, List
  import tensorflow.compat.v2
  from tf_quant_finance.experimental.pricing_platform.framework.core import processed_market_data
  from tf_quant_finance.experimental.pricing_platform.framework.core import types
label_desc: Use image node_id 5 for calling the Instrument obj's underlying member method code with example usage: obj.names() without return types