Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

datastructures_homogentensor.py

1 # file: datastructures_homogentensor.py
2 #===============================================================================
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40 #===============================================================================
41 
42 #
43 # ! Content:
44 # ! Python example of using homogeneous tensor data structures
45 # !*****************************************************************************
46 
47 #
48 
49 
50 #
51 from __future__ import print_function
52 
53 import numpy as np
54 
55 from daal.data_management import HomogenTensor, SubtensorDescriptor, readWrite
56 
57 if __name__ == "__main__":
58 
59  data = np.array([[[1,2,3],[4,5,6],[7,8,9]],[[11,12,13],[14,15,16],[17,18,19]],[[21,22,23],[24,25,26],[27,28,29]]],
60  dtype=np.float64)
61 
62  print("Initial data:")
63  for i in data.flatten():
64  print("{0:5.1f}".format(i), end=' ')
65  print()
66 
67  hc = HomogenTensor(data)
68 
69  subtensor = SubtensorDescriptor()
70  fDimN = 2
71  fDims = [0, 1]
72  hc.getSubtensor(fDims, 1, 2, readWrite, subtensor)
73 
74  d = subtensor.getNumberOfDims()
75  print("Subtensor dimensions: {}".format(d))
76  n = subtensor.getSize()
77  print("Subtensor size: {}".format(n))
78  p = subtensor.getArray()
79  print("Subtensor data:")
80  for i in p:
81  print("{0:5.1f}".format(i), end=' ')
82  print()
83 
84  p[0] = -1
85 
86  hc.releaseSubtensor(subtensor)
87 
88  print("Data after modification:")
89  for i in data.flatten():
90  print("{0:5.1f}".format(i), end=' ')
91  print()

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