30 from daal.algorithms.neural_networks
import layers
31 from daal.data_management
import HomogenTensor, TensorIface
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")
41 if __name__ ==
"__main__":
46 tensorData = readTensorFromCSV(datasetName)
49 fullyconnectedLayerForward = layers.fullyconnected.forward.Batch(m)
50 fullyconnectedLayerForward.parameter.dim = k
53 fullyconnectedLayerForward.input.setInput(layers.forward.data, tensorData)
56 forwardResult = fullyconnectedLayerForward.compute()
59 printTensor(forwardResult.getResult(layers.forward.value),
60 "Forward fully-connected layer result (first 5 rows):", 5)
61 printTensor(forwardResult.getLayerData(layers.fullyconnected.auxWeights),
62 "Forward fully-connected layer weights (first 5 rows):", 5)
65 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
66 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
69 fullyconnectedLayerBackward = layers.fullyconnected.backward.Batch(m)
72 fullyconnectedLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
73 fullyconnectedLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
76 backwardResult = fullyconnectedLayerBackward.compute()
79 printTensor(backwardResult.getResult(layers.backward.gradient),
80 "Backward fully-connected layer gradient result (first 5 rows):", 5)
81 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
82 "Backward fully-connected layer weightDerivative result (first 5 rows):", 5)
83 printTensor(backwardResult.getResult(layers.backward.biasDerivatives),
84 "Backward fully-connected layer biasDerivative result (first 5 rows):", 5)