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
65 datasetFileName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
67 if __name__ ==
"__main__":
71 tensorData = HomogenTensor(inDims, TensorIface.doAllocate, 1.0)
74 lcnLayerForward = layers.lcn.forward.Batch()
75 lcnLayerForward.input.setInput(layers.forward.data, tensorData)
78 forwardResult = lcnLayerForward.compute()
80 printTensor(forwardResult.getResult(layers.forward.value),
"Forward local contrast normalization layer result:")
81 printTensor(forwardResult.getLayerData(layers.lcn.auxCenteredData),
"Centered data tensor:")
82 printTensor(forwardResult.getLayerData(layers.lcn.auxSigma),
"Sigma tensor:")
83 printTensor(forwardResult.getLayerData(layers.lcn.auxC),
"C tensor:")
84 printTensor(forwardResult.getLayerData(layers.lcn.auxInvMax),
"Inverted max(sigma, C):")
87 tensorDataBack = HomogenTensor(inDims, TensorIface.doAllocate, 0.01)
90 lcnLayerBackward = layers.lcn.backward.Batch()
91 lcnLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
92 lcnLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
95 backwardResult = lcnLayerBackward.compute()
97 printTensor(backwardResult.getResult(layers.backward.gradient),
98 "Local contrast normalization layer backpropagation gradient result:")