pickle

来源： https://stackoverflow.com/questions/63984593/store-and-retrieve-pickled-python-objects-to-from-snowflake

来源： https://stackoverflow.com/questions/55488795/unpickling-saved-pytorch-model-throws-attributeerror-cant-get-attribute-net

来源： https://stackoverflow.com/questions/42348213/eoferror-ran-out-of-input

问题 I'm using Python 2.7 and NumPy 1.11.2, as well as the latest versions of dill ( I just did the pip install dill ) , on Ubuntu 16.04. When storing a NumPy array using pickle, I find that pickle is very slow, and stores arrays at almost three times the 'necessary' size. For example, in the following code, pickle is approximately 50 times slower (1s versus 50s), and creates a file that is 2.2GB instead of 800MB. import numpy import pickle import dill B=numpy.random.rand(10000,10000) with open(

问题 I've got a Numpy array that I would like to save (130,000 x 3) that I would like to save using Pickle, with the following code. However, I keep getting the error "EOFError: Ran out of input" or "UnsupportedOperation: read" at the pkl.load line. This is my first time using Pickle, any ideas? Thanks, Anant import pickle as pkl import numpy as np arrayInput = np.zeros((1000,2)) #Trial input save = True load = True filename = path + 'CNN_Input' fileObject = open(fileName, 'wb') if save: pkl.dump

问题 I've got a Numpy array that I would like to save (130,000 x 3) that I would like to save using Pickle, with the following code. However, I keep getting the error "EOFError: Ran out of input" or "UnsupportedOperation: read" at the pkl.load line. This is my first time using Pickle, any ideas? Thanks, Anant import pickle as pkl import numpy as np arrayInput = np.zeros((1000,2)) #Trial input save = True load = True filename = path + 'CNN_Input' fileObject = open(fileName, 'wb') if save: pkl.dump

问题 Is there any way of checking if a file has been created by pickle ? I could just catch exceptions thrown by pickle.load but there is no specific "not a pickle file" exception. 回答1: Pickle files don't have a header, so there's no standard way of identifying them short of trying to unpickle one and seeing if any exceptions are raised while doing so. You could define your own enhanced protocol that included some kind of header by subclassing the Pickler() and Unpickler() classes in the pickle

问题 Is there any way of checking if a file has been created by pickle ? I could just catch exceptions thrown by pickle.load but there is no specific "not a pickle file" exception. 回答1: Pickle files don't have a header, so there's no standard way of identifying them short of trying to unpickle one and seeing if any exceptions are raised while doing so. You could define your own enhanced protocol that included some kind of header by subclassing the Pickler() and Unpickler() classes in the pickle

问题 The overall goal of what I am trying to achieve is sending a Keras model to each spark worker so that I can use the model within a UDF applied to a column of a DataFrame. To do this, the Keras model will need to be picklable. It seems like a lot of people have had success at pickling keras models by monkey patching the Model class as shown by the link below: http://zachmoshe.com/2017/04/03/pickling-keras-models.html However, I have not seen any example of how to do this in tandem with Spark.