Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

relu_csr_batch.py

1 # file: relu_csr_batch.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 #
17 # ! Content:
18 # ! Python example of ReLU algorithm.
19 # !
20 # !*****************************************************************************
21 
22 #
23 
24 
25 #
26 
27 import os
28 import sys
29 
30 import daal.algorithms.math.relu as relu
31 
32 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
33 if utils_folder not in sys.path:
34  sys.path.insert(0, utils_folder)
35 from utils import printNumericTable, createSparseTable
36 
37 # Input data set parameters
38 datasetName = os.path.join('..', 'data', 'batch', 'covcormoments_csr.csv')
39 
40 if __name__ == "__main__":
41 
42  # Read datasetFileName from a file and create a numeric table to store input data
43  dataTable = createSparseTable(datasetName)
44 
45  # Create an algorithm
46  algorithm = relu.Batch(method=relu.fastCSR)
47 
48  # Set an input object for the algorithm
49  algorithm.input.set(relu.data, dataTable)
50 
51  # Compute ReLU function
52  res = algorithm.compute()
53 
54  # Print the results of the algorithm
55  printNumericTable(res.get(relu.value), "ReLU result (first 5 rows):", 5)

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