Python* API Reference for Intel® Data Analytics Acceleration Library 2019

qr_dense_online.py

1 # file: qr_dense_online.py
2 #===============================================================================
3 # Copyright 2014-2018 Intel Corporation.
4 #
5 # This software and the related documents are Intel copyrighted materials, and
6 # your use of them is governed by the express license under which they were
7 # provided to you (License). Unless the License provides otherwise, you may not
8 # use, modify, copy, publish, distribute, disclose or transmit this software or
9 # the related documents without Intel's prior written permission.
10 #
11 # This software and the related documents are provided as is, with no express
12 # or implied warranties, other than those that are expressly stated in the
13 # License.
14 #===============================================================================
15 
16 
17 
18 
19 import os
20 import sys
21 
22 from daal.algorithms import qr
23 from daal.data_management import FileDataSource, DataSourceIface
24 
25 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
26 if utils_folder not in sys.path:
27  sys.path.insert(0, utils_folder)
28 from utils import printNumericTable
29 
30 DAAL_PREFIX = os.path.join('..', 'data')
31 
32 # Input data set parameters
33 nRowsInBlock = 4000
34 dataFileName = os.path.join(DAAL_PREFIX, 'batch', 'qr.csv')
35 
36 if __name__ == "__main__":
37 
38  # Initialize FileDataSource to retrieve input data from .csv file
39  dataSource = FileDataSource(
40  dataFileName,
41  DataSourceIface.doAllocateNumericTable,
42  DataSourceIface.doDictionaryFromContext
43  )
44 
45  # Create algorithm to compute QR decomposition
46  algorithm = qr.Online()
47 
48  while dataSource.loadDataBlock(nRowsInBlock) == nRowsInBlock:
49  # Set input arguments of the algorithm
50  algorithm.input.set(qr.data, dataSource.getNumericTable())
51 
52  # Compute partial QR decompisition estimates
53  algorithm.compute()
54 
55  # Finalize online result and get computed QR decomposition
56  res = algorithm.finalizeCompute()
57 
58  # Print values
59  printNumericTable(res.get(qr.matrixQ), "Orthogonal matrix Q:", 10)
60  printNumericTable(res.get(qr.matrixR), "Triangular matrix R:")

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