58 from daal.algorithms.neural_networks
import layers
59 from daal.algorithms.neural_networks.layers
import spatial_maximum_pooling2d
60 from daal.data_management
import HomogenTensor
62 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
63 if utils_folder
not in sys.path:
64 sys.path.insert(0, utils_folder)
65 from utils
import printTensor
69 dataArray = np.array([[[[1, 2, 3, 4],
78 [-13, -14, -15, -16]],
79 [[-17, -18, -19, -20],
80 [-21, -22, -23, -24]]]],
83 if __name__ ==
"__main__":
84 data = HomogenTensor(dataArray)
87 printTensor(data,
"Forward two-dimensional spatial pyramid maximum pooling layer input (first 10 rows):", 10)
90 forwardLayer = spatial_maximum_pooling2d.forward.Batch(2, nDim)
91 forwardLayer.input.setInput(layers.forward.data, data)
94 forwardLayer.compute()
97 forwardResult = forwardLayer.getResult()
99 printTensor(forwardResult.getResult(layers.forward.value),
"Forward two-dimensional spatial pyramid maximum pooling layer result (first 5 rows):", 5)
100 printTensor(forwardResult.getLayerData(layers.spatial_maximum_pooling2d.auxSelectedIndices),
101 "Forward two-dimensional spatial pyramid maximum pooling layer selected indices (first 10 rows):", 10)
104 backwardLayer = layers.spatial_maximum_pooling2d.backward.Batch(2, nDim)
105 backwardLayer.input.setInput(layers.backward.inputGradient, forwardResult.getResult(layers.forward.value))
106 backwardLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
109 backwardLayer.compute()
112 backwardResult = backwardLayer.getResult()
114 printTensor(backwardResult.getResult(layers.backward.gradient),
115 "Backward two-dimensional spatial pyramid maximum pooling layer result (first 10 rows):", 10)