Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

abs_layer_dense_batch.py

1 # file: abs_layer_dense_batch.py
2 #===============================================================================
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40 #===============================================================================
41 
42 #
43 # ! Content:
44 # ! Python example of forward and backward absolute value (abs) layer usage
45 # !
46 # !
47 # !*****************************************************************************
48 
49 #
50 
53 
54 import os
55 import sys
56 
57 from daal.algorithms.neural_networks import layers
58 from daal.data_management import HomogenTensor, TensorIface
59 
60 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
61 if utils_folder not in sys.path:
62  sys.path.insert(0, utils_folder)
63 from utils import printTensor, readTensorFromCSV
64 
65 
66 # Input data set parameters
67 datasetName = os.path.join("..", "data", "batch", "layer.csv")
68 
69 if __name__ == "__main__":
70 
71  # Read datasetFileName from a file and create a tensor to store input data
72  tensorData = readTensorFromCSV(datasetName)
73 
74  # Create an algorithm to compute forward abs layer results using default method
75  absLayerForward = layers.abs.forward.Batch()
76 
77  # Set input objects for the forward abs layer
78  absLayerForward.input.setInput(layers.forward.data, tensorData)
79 
80  # Compute forward abs layer results
81  forwardResult = absLayerForward.compute()
82 
83  # Print the results of the forward abs layer
84  printTensor(forwardResult.getResult(layers.forward.value), "Forward abs layer result (first 5 rows):", 5)
85 
86  # Get the size of forward abs layer output
87  gDims = forwardResult.getResult(layers.forward.value).getDimensions()
88  tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
89 
90  # Create an algorithm to compute backward abs layer results using default method
91  absLayerBackward = layers.abs.backward.Batch()
92 
93  # Set input objects for the backward abs layer
94  absLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
95  absLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
96 
97  # Compute backward abs layer results
98  backwardResult = absLayerBackward.compute()
99 
100  # Print the results of the backward abs layer
101  printTensor(backwardResult.getResult(layers.backward.gradient), "Backward abs layer result (first 5 rows):", 5)

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