loads = pickle.loads AttributeError: module 'pickle' has no attribute 'loads'

根据您提供的引用，报错信息是因为在导入pickle模块时尝试使用了pickle.loads函数，但是pickle模块本身并没有loads这个属性。所以出现了AttributeError: module 'pickle' has no attribute 'loads'的错误。

为了解决这个问题，您需要使用pickle.load而不是pickle.loads函数来加载pkl文件。pickle.load函数用于从文件中加载pickle对象，而pickle.loads函数用于从字符串中加载pickle对象。

以下是正确的代码示例：

import pickle

with open('.\data\MSVD\msvd_vocab.pkl','rb') as f:
    v = pickle.load(f)

请注意，如果您仍然遇到其他问题，请提供更详细的错误信息以便进一步帮助您解决问题。

相关问题

运行results = pool.map(face_recognize, numbers)报错AttributeError: Can't pickle local object 'RockxFaceRecognition.run.<locals>.face_recognize'

这个错误通常是由于 multiprocessing 库无法序列化某些对象引起的。在您的情况下，似乎是由于 `face_recognize` 函数中的某些本地对象无法序列化。

为了解决这个问题，您可以尝试将 `face_recognize` 函数定义为一个独立的函数，而不是在 `run` 方法内部定义的本地函数。或者，您可以使用 `dill` 库对 `face_recognize` 函数进行序列化和反序列化，以便 multiprocessing 库可以正确地处理它。

具体来说，您可以尝试使用以下代码：

import dill

def run(self):
    # ...
    with multiprocessing.Pool(processes=4) as pool:
        results = pool.map(dill.loads(dill.dumps(face_recognize)), numbers)
    # ...

使用 `dill.loads(dill.dumps(face_recognize))` 将 `face_recognize` 函数序列化并反序列化，从而允许 multiprocessing 库正确地处理它。

AttributeError: Can't pickle local object 'SubPolicy.__init__.<locals>.<lambda>'

This error message indicates that you are trying to pickle (serialize) a local object named `lambda` that is defined inside the `__init__` method of a class named `SubPolicy`. Pickling local functions is not supported in Python by default and can lead to errors like this one.

To resolve this issue, you can define the `lambda` function outside of the `__init__` method, or you can use a different serialization method that supports pickling local functions, such as `dill` or `cloudpickle`. Here is an example of using `cloudpickle`:

import cloudpickle

# define your SubPolicy class here

# create an instance of SubPolicy
sub_policy = SubPolicy()

# serialize the object using cloudpickle
pickled_sub_policy = cloudpickle.dumps(sub_policy)

# deserialize the object
unpickled_sub_policy = cloudpickle.loads(pickled_sub_policy)

Note that using third-party serialization methods like `dill` or `cloudpickle` may have security implications, so make sure to use them only with trusted code.