30 from daal.algorithms.neural_networks
import layers
31 from daal.data_management
import HomogenTensor, Tensor
33 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
34 if utils_folder
not in sys.path:
35 sys.path.insert(0, utils_folder)
36 from utils
import printTensor, readTensorFromCSV
39 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
40 weightsName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
45 if __name__ ==
"__main__":
48 tensorData = readTensorFromCSV(datasetName)
49 tensorWeights = readTensorFromCSV(weightsName)
52 forwardPreluLayer = layers.prelu.forward.Batch()
53 forwardPreluLayer.parameter.dataDimension = dataDimension
54 forwardPreluLayer.parameter.weightsDimension = weightsDimension
55 forwardPreluLayer.parameter.weightsAndBiasesInitialized =
True
58 forwardPreluLayer.input.setInput(layers.forward.data, tensorData)
59 forwardPreluLayer.input.setInput(layers.forward.weights, tensorWeights)
62 forwardResult = forwardPreluLayer.compute()
65 printTensor(forwardResult.getResult(layers.forward.value),
"Forward prelu layer result (first 5 rows):", 5)
68 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
69 tensorDataBack = HomogenTensor(gDims, Tensor.doAllocate, 0.01)
72 backwardPreluLayer = layers.prelu.backward.Batch()
73 backwardPreluLayer.parameter.dataDimension = dataDimension
74 backwardPreluLayer.parameter.weightsDimension = weightsDimension
77 backwardPreluLayer.input.setInput(layers.backward.inputGradient, tensorDataBack)
78 backwardPreluLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
81 backwardResult = backwardPreluLayer.compute()
84 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward prelu layer result (first 5 rows):", 5)
85 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
"Weights derivative (first 5 rows):", 5)