首页 > 解决方案 > Python莳萝:KeyError:'ClassType'

问题描述

我正在尝试腌制课程。Pickle 因属性错误而失败,因为加载时类构造函数不存在。我收集到该dill模块是模块的扩展pickle。但是,我仍然遇到错误。即:

Traceback (most recent call last):
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-4-447b415d0f92>", line 1, in <module>
    dill.load(open('hp', 'rb'))
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\dill\_dill.py", line 270, in load
    return Unpickler(file, ignore=ignore, **kwds).load()
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\dill\_dill.py", line 472, in load
    obj = StockUnpickler.load(self)
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\dill\_dill.py", line 577, in _load_type
    return _reverse_typemap[name]
KeyError: 'ClassType'

我在加载时得到的。

保存时:

dill.dump(hp, open('hp', 'wb'))

加载时(在完全不同的文件中)

dill.load(open('hp', 'rb'))

hp以下类的实例在哪里

import tensorflow as tf
import resources.toolbox as tb

class HParams(tb.HyperParam):
    def __init__(self):
        # =================== Enviroment ========================
        super().__init__()
        self.exp_name = 'trial'  # 'gru_vs_rnn_vs_lstm'
        self.save_path = './tmp/lstm/' + self.exp_name
        self.save_path = os.path.abspath(self.save_path)
        os.makedirs(self.save_path, exist_ok=True)
        self.pkg = tf.__name__
        self.s = tb.get_diag(16, 44)

我尝试了各种技巧都无济于事。

ُEDIT1:

这是主文件:


import lib
import dill


class HP(lib.HyperParam):
    def __init__(self):
        super().__init__()


if __name__ == '__main__':
    hp = HP()
    dill.dump(hp, open('myfile', 'wb'))

这是lib模块


import os
import inspect


class HyperParam:
    def __init__(self):
        """
        It is preferable to pass the packages used, so that later this class can be saved and loaded.
        """
        # =================== Enviroment ========================
        self.exp_name = 'default'
        self.root = 'tmp'
        self.pkg = None
        # self.device = config_device(HyperParam, Device.gpu0)
        # ===================== DATA ============================
        self.cal = [False, True][0]
        self.freq_select = None
        self.norm_factor = None
        self.sort_freq = None
        self.dmd = False
        self.seed = 234
        # =================== Model =============================
        self.l1 = 0.0005
        # ===================== Training ========================
        self.split = 0.2
        self.lr = 0.0005
        self.batch_size = 32
        self.epochs = 30
        self.milk = [None]
        self.nsl = [False, True][0]
        self.adv_multiplier = 0.2
        self.adv_step_size = 0.01
        self.adv_grad_norm = 'infinity'

    @staticmethod
    def from_saved(path):
        path = os.path.join(path, f'metadata/HyperParam')
        import pickle
        return pickle.load(open(path, "rb"))()

    def __repr__(self):
        return ''.join(inspect.getsourcelines(self.__class__)[0])

运行主文件,它将保存和对象。现在,在一个新文件中,尝试加载:

import dill

a = dill.load(open('myfile', 'rb'))
Traceback (most recent call last):
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-3-390afbf8b35b>", line 1, in <module>
    a = dill.load(open('./training/myfile', 'rb'))
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\dill\_dill.py", line 270, in load
    return Unpickler(file, ignore=ignore, **kwds).load()
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\dill\_dill.py", line 472, in load
    obj = StockUnpickler.load(self)
  File "C:\Users\s4551072\.conda\envs\gpuenv\lib\site-packages\dill\_dill.py", line 462, in find_class
    return StockUnpickler.find_class(self, module, name)
AttributeError: Can't get attribute 'HP' on <module '__main__'>


标签: pythonpickledill

解决方案


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