mxnet-NDArray

发布时间：2020-12-14 04:14:29 所属栏目：大数据来源：网络整理

导读：#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Fri Aug 10 16:13:29 2018 @author: myhaspl """ from mxnet import nd x1=nd.array(((1,2,3),(5,6,7))) x2=nd.array(((10,20,30),(50,60,70))) y1=x1+x2 y2=x1*x2 print y1 print y2 print

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Fri Aug 10 16:13:29 2018 @author: myhaspl """ from mxnet import nd x1=nd.array(((1,2,3),(5,6,7))) x2=nd.array(((10,20,30),(50,60,70))) y1=x1+x2 y2=x1*x2 print y1 print y2 print nd.ones((2,3)) print nd.random.uniform(-1,1,(2,3)) print nd.full((2,2.0) print (x1.shape,x1.size,x1.dtype)

the NDArray,MXNets primary tool for storing and transforming data. I

输出：

[[11. 22. 33.]
?[55. 66. 77.]]
<NDArray 2x3 @cpu(0)>

[[ 10. ?40. ?90.]
?[250. 360. 490.]]
<NDArray 2x3 @cpu(0)>

[[1. 1. 1.]
?[1. 1. 1.]]
<NDArray 2x3 @cpu(0)>

[[0.09762704 0.18568921 0.43037868]
?[0.6885315 ?0.20552671 0.71589124]]
<NDArray 2x3 @cpu(0)>

[[2. 2. 2.]
?[2. 2. 2.]]
<NDArray 2x3 @cpu(0)>
((2L,3L),6L,<type ‘numpy.float32‘>)

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 10 16:13:29 2018

@author: myhaspl
"""
from mxnet import nd
x1=nd.array(((1,7)))
x2=nd.array(((10,70)))
print x1
print x1.T
print nd.dot(x1,x2.T)
print x1[:,1]
print x1[0,:]
print x2[0,2]
x1[:,2]=888
print x1

[[1. 2. 3.]
?[5. 6. 7.]]
<NDArray 2x3 @cpu(0)>

[[1. 5.]
?[2. 6.]
?[3. 7.]]
<NDArray 3x2 @cpu(0)>

[[ 140. ?380.]
?[ 380. 1100.]]
<NDArray 2x2 @cpu(0)>

[2. 6.]
<NDArray 2 @cpu(0)>

[1. 2. 3.]
<NDArray 3 @cpu(0)>

[30.]
<NDArray 1 @cpu(0)>

[[ ?1. ? 2. 888.]
?[ ?5. ? 6. 888.]]
<NDArray 2x3 @cpu(0)>

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 10 16:13:29 2018

@author: myhaspl
"""
from mxnet import nd
x1=nd.array(((1,70)))
a = x1.asnumpy()
print a
print nd.array(a)

[[1. 2. 3.]
?[5. 6. 7.]]

[[1. 2. 3.]?[5. 6. 7.]]<NDArray 2x3 @cpu(0)>

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