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 lcnLayerForward = layers.lcn.forward.Batch()
51 lcnLayerForward.input.setInput(layers.forward.data, tensorData)
54 forwardResult = lcnLayerForward.compute()
56 printTensor(forwardResult.getResult(layers.forward.value),
"Forward local contrast normalization layer result:")
57 printTensor(forwardResult.getLayerData(layers.lcn.auxCenteredData),
"Centered data tensor:")
58 printTensor(forwardResult.getLayerData(layers.lcn.auxSigma),
"Sigma tensor:")
59 printTensor(forwardResult.getLayerData(layers.lcn.auxC),
"C tensor:")
60 printTensor(forwardResult.getLayerData(layers.lcn.auxInvMax),
"Inverted max(sigma, C):")
63 tensorDataBack = HomogenTensor(inDims, TensorIface.doAllocate, 0.01)
66 lcnLayerBackward = layers.lcn.backward.Batch()
67 lcnLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
68 lcnLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
71 backwardResult = lcnLayerBackward.compute()
73 printTensor(backwardResult.getResult(layers.backward.gradient),
74 "Local contrast normalization layer backpropagation gradient result:")