class_docstr: 执行评测时使用的 backend，是所有 backend 的父类。Backend 及其子类的所有方法都必须是无状态的。
class_docstr_tok: ["\u6267\u884c\u8bc4\u6d4b\u65f6\u4f7f\u7528\u7684","backend\uff0c\u662f\u6240\u6709","backend","\u7684\u7236\u7c7b\u3002Backend","\u53ca\u5176\u5b50\u7c7b\u7684\u6240\u6709\u65b9\u6cd5\u90fd\u5fc5\u987b\u662f\u65e0\u72b6\u6001\u7684\u3002"]
docstr: 创建 tensor，并且填入 ``value`` 作为值。
  
  :param value: 需要初始化的 ``value`` 值
docstr_tok: ["\u521b\u5efa","tensor\uff0c\u5e76\u4e14\u586b\u5165","``","value","``","\u4f5c\u4e3a\u503c\u3002",":","param","value",":","\u9700\u8981\u521d\u59cb\u5316\u7684","``","value","``","\u503c"]
code: def create_tensor(self, value: float):
      """
      创建 tensor，并且填入 ``value`` 作为值。
  
      :param value: 需要初始化的 ``value`` 值
      """
      return value
  
file_path: fastNLP/fastNLP/core/metrics/backend/backend.py
imports: from ..utils import AggregateMethodError
label_desc: Use image node_id 3 for calling the Backend obj's underlying member method code with example usage: obj.create_tensor(value) and returns: value