33 from daal.algorithms.neural_networks
import layers
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
43 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
45 if __name__ ==
"__main__":
48 tensorData = readTensorFromCSV(datasetName)
51 absLayerForward = layers.abs.forward.Batch()
54 absLayerForward.input.setInput(layers.forward.data, tensorData)
57 forwardResult = absLayerForward.compute()
60 printTensor(forwardResult.getResult(layers.forward.value),
"Forward abs layer result (first 5 rows):", 5)
63 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
64 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
67 absLayerBackward = layers.abs.backward.Batch()
70 absLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
71 absLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
74 backwardResult = absLayerBackward.compute()
77 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward abs layer result (first 5 rows):", 5)