parameters: (record, name_to_features)
return_statement: return example
docstring: Decodes a record to a TensorFlow example.
docstring_summary: Decodes a record to a TensorFlow example.
docstring_tokens: Decodes a record to a TensorFlow example .
function: def _decode_record(record, name_to_features):
    """Decodes a record to a TensorFlow example."""
    example = tf.parse_single_example(record, name_to_features)
  
    # tf.Example only supports tf.int64, but the TPU only supports tf.int32.
    # So cast all int64 to int32.
    for name in list(example.keys()):
      t = example[name]
      if t.dtype == tf.int64:
        t = tf.to_int32(t)
      example[name] = t
  
    return example
function_tokens: def _decode_record ( record , name_to_features ) : example = tf . parse_single_example ( record , name_to_features ) # tf.Example only supports tf.int64, but the TPU only supports tf.int32. # So cast all int64 to int32. for name in list ( example . keys ( ) ) : t = example [ name ] if t . dtype == tf . int64 : t = tf . to_int32 ( t ) example [ name ] = t return example