32 from daal.algorithms.neural_networks
import layers
33 from daal.data_management
import HomogenTensor, TensorIface
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")
43 if __name__ ==
"__main__":
48 tensorData = readTensorFromCSV(datasetName)
51 fullyconnectedLayerForward = layers.fullyconnected.forward.Batch(m)
52 fullyconnectedLayerForward.parameter.dim = k
55 fullyconnectedLayerForward.input.setInput(layers.forward.data, tensorData)
58 forwardResult = fullyconnectedLayerForward.compute()
61 printTensor(forwardResult.getResult(layers.forward.value),
62 "Forward fully-connected layer result (first 5 rows):", 5)
63 printTensor(forwardResult.getLayerData(layers.fullyconnected.auxWeights),
64 "Forward fully-connected layer weights (first 5 rows):", 5)
67 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
68 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
71 fullyconnectedLayerBackward = layers.fullyconnected.backward.Batch(m)
74 fullyconnectedLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
75 fullyconnectedLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
78 backwardResult = fullyconnectedLayerBackward.compute()
81 printTensor(backwardResult.getResult(layers.backward.gradient),
82 "Backward fully-connected layer gradient result (first 5 rows):", 5)
83 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
84 "Backward fully-connected layer weightDerivative result (first 5 rows):", 5)
85 printTensor(backwardResult.getResult(layers.backward.biasDerivatives),
86 "Backward fully-connected layer biasDerivative result (first 5 rows):", 5)