56 from daal.algorithms.neural_networks
import layers
57 from daal.data_management
import HomogenTensor, Tensor
59 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
60 if utils_folder
not in sys.path:
61 sys.path.insert(0, utils_folder)
62 from utils
import printTensor, readTensorFromCSV
65 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
66 weightsName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
71 if __name__ ==
"__main__":
74 tensorData = readTensorFromCSV(datasetName)
75 tensorWeights = readTensorFromCSV(weightsName)
78 forwardPreluLayer = layers.prelu.forward.Batch()
79 forwardPreluLayer.parameter.dataDimension = dataDimension
80 forwardPreluLayer.parameter.weightsDimension = weightsDimension
81 forwardPreluLayer.parameter.weightsAndBiasesInitialized =
True 84 forwardPreluLayer.input.setInput(layers.forward.data, tensorData)
85 forwardPreluLayer.input.setInput(layers.forward.weights, tensorWeights)
88 forwardResult = forwardPreluLayer.compute()
91 printTensor(forwardResult.getResult(layers.forward.value),
"Forward prelu layer result (first 5 rows):", 5)
94 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
95 tensorDataBack = HomogenTensor(gDims, Tensor.doAllocate, 0.01)
98 backwardPreluLayer = layers.prelu.backward.Batch()
99 backwardPreluLayer.parameter.dataDimension = dataDimension
100 backwardPreluLayer.parameter.weightsDimension = weightsDimension
103 backwardPreluLayer.input.setInput(layers.backward.inputGradient, tensorDataBack)
104 backwardPreluLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
107 backwardResult = backwardPreluLayer.compute()
110 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward prelu layer result (first 5 rows):", 5)
111 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
"Weights derivative (first 5 rows):", 5)