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
41 datasetFileName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
43 if __name__ ==
"__main__":
47 tensorData = HomogenTensor(inDims, TensorIface.doAllocate, 1.0)
50 locallyconnected2dLayerForward = layers.locallyconnected2d.forward.Batch()
51 locallyconnected2dLayerForward.input.setInput(layers.forward.data, tensorData)
54 forwardResult = locallyconnected2dLayerForward.compute()
56 printTensor(forwardResult.getResult(layers.forward.value),
"Forward 2D locally connected layer result (first 5 rows):", 5, 15)
57 printTensor(forwardResult.getLayerData(layers.locallyconnected2d.auxWeights),
"2D locally connected layer weights (first 5 rows):", 5, 15)
59 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
62 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
65 locallyconnected2dLayerBackward = layers.locallyconnected2d.backward.Batch()
66 locallyconnected2dLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
67 locallyconnected2dLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
70 backwardResult = locallyconnected2dLayerBackward.compute()
72 printTensor(backwardResult.getResult(layers.backward.gradient),
73 "2D locally connected layer backpropagation gradient result (first 5 rows):", 5, 15)
74 printTensor(backwardResult.getResult(layers.backward.weightDerivatives),
75 "2D locally connected layer backpropagation weightDerivative result (first 5 rows):", 5, 15)
76 printTensor(backwardResult.getResult(layers.backward.biasDerivatives),
77 "2D locally connected layer backpropagation biasDerivative result (first 5 rows):", 5, 15)