56 from daal.algorithms.neural_networks
import layers
57 from daal.data_management
import HomogenTensor, TensorIface
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")
67 if __name__ ==
"__main__":
72 tensorData = readTensorFromCSV(datasetName)
75 fullyconnectedLayerForward = layers.fullyconnected.forward.Batch(m)
76 fullyconnectedLayerForward.parameter.dim = k
79 fullyconnectedLayerForward.input.setInput(layers.forward.data, tensorData)
82 forwardResult = fullyconnectedLayerForward.compute()
85 printTensor(forwardResult.getResult(layers.forward.value),
86 "Forward fully-connected layer result (first 5 rows):", 5)
87 printTensor(forwardResult.getLayerData(layers.fullyconnected.auxWeights),
88 "Forward fully-connected layer weights (first 5 rows):", 5)
91 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
92 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
95 fullyconnectedLayerBackward = layers.fullyconnected.backward.Batch(m)
98 fullyconnectedLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
99 fullyconnectedLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
102 backwardResult = fullyconnectedLayerBackward.compute()
105 printTensor(backwardResult.getResult(layers.backward.gradient),
106 "Backward fully-connected layer gradient result (first 5 rows):", 5)
107 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
108 "Backward fully-connected layer weightDerivative result (first 5 rows):", 5)
109 printTensor(backwardResult.getResult(layers.backward.biasDerivatives),
110 "Backward fully-connected layer biasDerivative result (first 5 rows):", 5)