# -*- coding: utf-8 -*- """ Spyder EditorThis is a temporary script file. """ import mxnet as mx import numpy as npimport pickle as pkl#1.pickle a = mx.nd.ones((2, 3)) # 序列化存儲 data = pkl.dumps(a) pkl.dump(data, open('tmp.pickle', 'wb')) # 序列化讀取 data = pkl.load(open('tmp.pickle', 'rb')) b = pkl.loads(data) print b.asnumpy() #2.直接讀寫 a = mx.nd.ones((2,3)) b = mx.nd.ones((5,6)) mx.nd.save("temp.ndarray", [a,b]) c = mx.nd.load("temp.ndarray") print cd = {'a':a, 'b':b} mx.nd.save("temp.ndarray", d) c = mx.nd.load("temp.ndarray") print c

[[1. 1. 1.]
[1. 1. 1.]]
[
[[1. 1. 1.]
[1. 1. 1.]]
<NDArray 2x3 @cpu(0)>,
[[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]]
<NDArray 5x6 @cpu(0)>]
{‘a’:
[[1. 1. 1.]
[1. 1. 1.]]
<NDArray 2x3 @cpu(0)>, ‘b’:
[[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1.]]
<NDArray 5x6 @cpu(0)>}

a = mx.nd.ones((2, 3)) mx.nd.save("temp.ndarray", [a,]) a <- mx.nd.load("temp.ndarray") as.array(a[[1]]) ## [,1] [,2] [,3] ## [1,] 1 1 1 ## [2,] 1 1 1 mx.nd.save('s3://mybucket/mydata.ndarray', [a,]) # if compiled with USE_S3=1 mx.nd.save('hdfs///users/myname/mydata.bin', [a,]) # if compiled with USE_HDFS=1 與50位技術專家面對面20年技術見證，附贈技術全景圖

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