32 from daal.algorithms.neural_networks
import layers
33 from daal.algorithms.neural_networks.layers
import spatial_maximum_pooling2d
34 from daal.data_management
import HomogenTensor
36 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
37 if utils_folder
not in sys.path:
38 sys.path.insert(0, utils_folder)
39 from utils
import printTensor
43 dataArray = np.array([[[[1, 2, 3, 4],
52 [-13, -14, -15, -16]],
53 [[-17, -18, -19, -20],
54 [-21, -22, -23, -24]]]],
57 if __name__ ==
"__main__":
58 data = HomogenTensor(dataArray)
61 printTensor(data,
"Forward two-dimensional spatial pyramid maximum pooling layer input (first 10 rows):", 10)
64 forwardLayer = spatial_maximum_pooling2d.forward.Batch(2, nDim)
65 forwardLayer.input.setInput(layers.forward.data, data)
68 forwardLayer.compute()
71 forwardResult = forwardLayer.getResult()
73 printTensor(forwardResult.getResult(layers.forward.value),
"Forward two-dimensional spatial pyramid maximum pooling layer result (first 5 rows):", 5)
74 printTensor(forwardResult.getLayerData(layers.spatial_maximum_pooling2d.auxSelectedIndices),
75 "Forward two-dimensional spatial pyramid maximum pooling layer selected indices (first 10 rows):", 10)
78 backwardLayer = layers.spatial_maximum_pooling2d.backward.Batch(2, nDim)
79 backwardLayer.input.setInput(layers.backward.inputGradient, forwardResult.getResult(layers.forward.value))
80 backwardLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
83 backwardLayer.compute()
86 backwardResult = backwardLayer.getResult()
88 printTensor(backwardResult.getResult(layers.backward.gradient),
89 "Backward two-dimensional spatial pyramid maximum pooling layer result (first 10 rows):", 10)