32 from daal.algorithms.neural_networks
import layers
33 from daal.data_management
import HomogenTensor, Tensor
35 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
36 if utils_folder
not in sys.path:
37 sys.path.insert(0, utils_folder)
38 from utils
import printTensor, readTensorFromCSV
41 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
42 weightsName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
47 if __name__ ==
"__main__":
50 tensorData = readTensorFromCSV(datasetName)
51 tensorWeights = readTensorFromCSV(weightsName)
54 forwardPreluLayer = layers.prelu.forward.Batch()
55 forwardPreluLayer.parameter.dataDimension = dataDimension
56 forwardPreluLayer.parameter.weightsDimension = weightsDimension
57 forwardPreluLayer.parameter.weightsAndBiasesInitialized =
True
60 forwardPreluLayer.input.setInput(layers.forward.data, tensorData)
61 forwardPreluLayer.input.setInput(layers.forward.weights, tensorWeights)
64 forwardResult = forwardPreluLayer.compute()
67 printTensor(forwardResult.getResult(layers.forward.value),
"Forward prelu layer result (first 5 rows):", 5)
70 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
71 tensorDataBack = HomogenTensor(gDims, Tensor.doAllocate, 0.01)
74 backwardPreluLayer = layers.prelu.backward.Batch()
75 backwardPreluLayer.parameter.dataDimension = dataDimension
76 backwardPreluLayer.parameter.weightsDimension = weightsDimension
79 backwardPreluLayer.input.setInput(layers.backward.inputGradient, tensorDataBack)
80 backwardPreluLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
83 backwardResult = backwardPreluLayer.compute()
86 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward prelu layer result (first 5 rows):", 5)
87 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
"Weights derivative (first 5 rows):", 5)