32 from daal.algorithms.neural_networks
import layers
33 from daal.data_management
import HomogenTensor
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 printTensor3d
42 dataArray = np.array([[[1, 2, 3, 4],
50 if __name__ ==
"__main__":
52 dataTensor = HomogenTensor(dataArray)
54 printTensor3d(dataTensor,
"Forward maximum pooling layer input:")
57 forwardLayer = layers.maximum_pooling3d.forward.Batch(nDim)
58 forwardLayer.input.setInput(layers.forward.data, dataTensor)
61 forwardResult = forwardLayer.compute()
63 printTensor3d(forwardResult.getResult(layers.forward.value),
"Forward maximum pooling layer result:")
64 printTensor3d(forwardResult.getLayerData(layers.maximum_pooling3d.auxSelectedIndices),
65 "Forward maximum pooling layer selected indices:")
68 backwardLayer = layers.maximum_pooling3d.backward.Batch(nDim)
69 backwardLayer.input.setInput(layers.backward.inputGradient, forwardResult.getResult(layers.forward.value))
70 backwardLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
73 backwardResult = backwardLayer.compute()
76 printTensor3d(backwardResult.getResult(layers.backward.gradient),
"Backward maximum pooling layer result:")