Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

datastructures_csr.py

Deprecation Notice: With the introduction of daal4py, a package that supersedes PyDAAL, Intel is deprecating PyDAAL and will discontinue support starting with Intel® DAAL 2021 and Intel® Distribution for Python 2021. Until then Intel will continue to provide compatible pyDAAL pip and conda packages for newer releases of Intel DAAL and make it available in open source. However, Intel will not add the new features of Intel DAAL to pyDAAL. Intel recommends developers switch to and use daal4py.

Note: To find daal4py examples, refer to daal4py documentation or browse github repository.

1 # file: datastructures_csr.py
2 #===============================================================================
3 # Copyright 2014-2019 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 ## <a name="DAAL-EXAMPLE-PY-DATASTRUCTURES_CSR">
17 ## \example datastructures_csr.py
18 
19 import os
20 import sys
21 
22 import numpy as np
23 
24 from daal.data_management import BlockDescriptor, CSRBlockDescriptor, CSRNumericTable, readOnly, readWrite
25 
26 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
27 if utils_folder not in sys.path:
28  sys.path.insert(0, utils_folder)
29 from utils import printArray
30 
31 
32 if __name__ == "__main__":
33 
34  print("Compressed spares rows (CSR) numeric table example\n")
35 
36  nObservations = 5
37  nFeatures = 5
38  firstReadRow = 1
39  nRead = 3
40 
41  # Example of using CSR numeric table
42  values = np.array([1, -1, -3, -2, 5, 4, 6, 4, -4, 2, 7, 8, -5], dtype=np.float64)
43  colIndices = np.array([1, 2, 4, 1, 2, 3, 4, 5, 1, 3, 4, 2, 5], dtype=np.uint64)
44  rowOffsets = np.array([1, 4, 6, 9, 12, 14], dtype=np.uint64)
45 
46  dataTable = CSRNumericTable(values, colIndices, rowOffsets, nFeatures, nObservations)
47 
48  # Read block of rows in dense format
49  block = BlockDescriptor(ntype=np.float64)
50  dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
51  print(str(block.getNumberOfRows()) + " rows are read\n")
52  printArray(
53  block.getArray(), nFeatures, block.getNumberOfRows(), block.getNumberOfColumns(),
54  "Print 3 rows from CSR data array as dense double array:"
55  )
56  dataTable.releaseBlockOfRows(block)
57 
58  # Read block of rows in CSR format and write into it
59  csrBlock = CSRBlockDescriptor(ntpye=np.float32)
60  num_cols = csrBlock.getNumberOfColumns()
61  dataTable.getSparseBlock(firstReadRow, nRead, readWrite, csrBlock)
62  valuesBlock = csrBlock.getBlockValues()
63  nValuesInBlock = csrBlock.getDataSize()
64  printArray(valuesBlock, nValuesInBlock, 1, num_cols, "Values in 3 rows from CSR data array:")
65  printArray(
66  csrBlock.getBlockColumnIndices(), nValuesInBlock, 1, num_cols,
67  "Columns indices in 3 rows from CSR data array:", flt64=False
68  )
69  printArray(
70  csrBlock.getBlockRowIndices(), nRead + 1, 1, num_cols,
71  "Rows offsets in 3 rows from CSR data array:", flt64=False
72  )
73 
74  for i in range(nValuesInBlock):
75  valuesBlock[i] = -(1.0 + i)
76 
77  dataTable.releaseSparseBlock(csrBlock)
78 
79  # Read block of rows in dense format
80  dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
81  print(str(block.getNumberOfRows()) + " rows are read\n")
82  printArray(
83  block.getArray(), nFeatures, block.getNumberOfRows(), block.getNumberOfColumns(),
84  "Print 3 rows from CSR data array as dense double array:"
85  )
86  dataTable.releaseBlockOfRows(block)

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