34 from daal.algorithms.neural_networks
import layers
35 from daal.algorithms.neural_networks.layers
import spatial_stochastic_pooling2d
36 from daal.data_management
import HomogenTensor
38 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
39 if utils_folder
not in sys.path:
40 sys.path.insert(0, utils_folder)
41 from utils
import printTensor
45 dataArray = np.array([[[[1, 2, 3, 4],
54 [130, 140, 150, 160]],
55 [[170, 180, 190, 200],
56 [210, 220, 230, 240]]]],
59 if __name__ ==
"__main__":
60 data = HomogenTensor(dataArray)
62 printTensor(data,
"Forward two-dimensional spatial pyramid stochastic pooling layer input (first 10 rows):", 10)
65 forwardLayer = spatial_stochastic_pooling2d.forward.Batch(2, nDim)
66 forwardLayer.input.setInput(layers.forward.data, data)
69 forwardLayer.compute()
72 forwardResult = forwardLayer.getResult()
74 printTensor(forwardResult.getResult(layers.forward.value),
"Forward two-dimensional spatial pyramid stochastic pooling layer result (first 5 rows):", 5)
75 printTensor(forwardResult.getLayerData(layers.spatial_stochastic_pooling2d.auxSelectedIndices),
76 "Forward two-dimensional spatial pyramid stochastic pooling layer selected indices (first 10 rows):", 10)
79 backwardLayer = layers.spatial_stochastic_pooling2d.backward.Batch(2, nDim)
80 backwardLayer.input.setInput(layers.backward.inputGradient, forwardResult.getResult(layers.forward.value))
81 backwardLayer.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
84 backwardLayer.compute()
87 backwardResult = backwardLayer.getResult()
89 printTensor(backwardResult.getResult(layers.backward.gradient),
90 "Backward two-dimensional spatial pyramid stochastic pooling layer result (first 10 rows):", 10)