34 from daal.algorithms.neural_networks
import layers
35 from daal.data_management
import HomogenTensor
37 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
38 if utils_folder
not in sys.path:
39 sys.path.insert(0, utils_folder)
40 from utils
import printTensor3d
44 dataArray = np.array([[[1, 2, 3, 4],
52 if __name__ ==
"__main__":
54 dataTensor = HomogenTensor(dataArray)
56 printTensor3d(dataTensor,
"Forward maximum pooling layer input:")
59 forwardLayer = layers.maximum_pooling3d.forward.Batch(nDim)
60 forwardLayer.input.setInput(layers.forward.data, dataTensor)
63 forwardResult = forwardLayer.compute()
65 printTensor3d(forwardResult.getResult(layers.forward.value),
"Forward maximum pooling layer result:")
66 printTensor3d(forwardResult.getLayerData(layers.maximum_pooling3d.auxSelectedIndices),
67 "Forward maximum pooling layer selected indices:")
70 backwardLayer = layers.maximum_pooling3d.backward.Batch(nDim)
71 backwardLayer.input.setInput(layers.backward.inputGradient, forwardResult.getResult(layers.forward.value))
72 backwardLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
75 backwardResult = backwardLayer.compute()
78 printTensor3d(backwardResult.getResult(layers.backward.gradient),
"Backward maximum pooling layer result:")