32 from daal.algorithms.neural_networks
import layers
33 from daal.algorithms.neural_networks.layers
import lrn
34 from daal.data_management
import HomogenTensor, TensorIface
36 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
37 if utils_folder
not in sys.path:
38 sys.path.insert(0, utils_folder)
39 from utils
import printTensor, readTensorFromCSV
42 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
44 if __name__ ==
"__main__":
47 tensorData = readTensorFromCSV(datasetName)
50 forwardLRNlayer = lrn.forward.Batch()
53 forwardLRNlayer.input.setInput(layers.forward.data, tensorData)
56 forwardResult = forwardLRNlayer.compute()
59 printTensor(tensorData,
"LRN layer input (first 5 rows):", 5)
60 printTensor(forwardResult.getResult(layers.forward.value),
"LRN layer result (first 5 rows):", 5)
61 printTensor(forwardResult.getLayerData(layers.lrn.auxSmBeta),
"LRN layer auxSmBeta (first 5 rows):", 5)
64 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
65 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
68 backwardLRNlayer = lrn.backward.Batch()
71 backwardLRNlayer.input.setInput(layers.backward.inputGradient, tensorDataBack)
72 backwardLRNlayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
75 backwardResult = backwardLRNlayer.compute()
78 printTensor(backwardResult.getResult(layers.backward.gradient),
"LRN layer backpropagation result (first 5 rows):", 5)