30 from daal.algorithms.neural_networks
import layers
31 from daal.data_management
import HomogenTensor, TensorIface
33 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
34 if utils_folder
not in sys.path:
35 sys.path.insert(0, utils_folder)
36 from utils
import printTensor
39 datasetFileName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
41 if __name__ ==
"__main__":
45 tensorData = HomogenTensor(inDims, TensorIface.doAllocate, 1.0)
48 lcnLayerForward = layers.lcn.forward.Batch()
49 lcnLayerForward.input.setInput(layers.forward.data, tensorData)
52 forwardResult = lcnLayerForward.compute()
54 printTensor(forwardResult.getResult(layers.forward.value),
"Forward local contrast normalization layer result:")
55 printTensor(forwardResult.getLayerData(layers.lcn.auxCenteredData),
"Centered data tensor:")
56 printTensor(forwardResult.getLayerData(layers.lcn.auxSigma),
"Sigma tensor:")
57 printTensor(forwardResult.getLayerData(layers.lcn.auxC),
"C tensor:")
58 printTensor(forwardResult.getLayerData(layers.lcn.auxInvMax),
"Inverted max(sigma, C):")
61 tensorDataBack = HomogenTensor(inDims, TensorIface.doAllocate, 0.01)
64 lcnLayerBackward = layers.lcn.backward.Batch()
65 lcnLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
66 lcnLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
69 backwardResult = lcnLayerBackward.compute()
71 printTensor(backwardResult.getResult(layers.backward.gradient),
72 "Local contrast normalization layer backpropagation gradient result:")