32 from daal.algorithms.neural_networks
import layers
33 from daal.algorithms.neural_networks.layers
import smoothrelu
34 from daal.data_management
import HomogenTensor, TensorIface
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, readTensorFromCSV
42 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
44 if __name__ ==
"__main__":
47 tensorData = readTensorFromCSV(datasetName)
50 smoothreluLayerForward = smoothrelu.forward.Batch()
53 smoothreluLayerForward.input.setInput(layers.forward.data, tensorData)
56 forwardResult = smoothreluLayerForward.compute()
59 printTensor(forwardResult.getResult(layers.forward.value),
"Forward smooth ReLU layer result (first 5 rows):", 5)
62 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
63 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
66 smoothreluLayerBackward = smoothrelu.backward.Batch()
69 smoothreluLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
70 smoothreluLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
73 backwardResult = smoothreluLayerBackward.compute()
76 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward smooth ReLU layer result (first 5 rows):", 5)