57 from daal.algorithms.neural_networks
import layers
58 from daal.data_management
import HomogenTensor, TensorIface
60 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
61 if utils_folder
not in sys.path:
62 sys.path.insert(0, utils_folder)
63 from utils
import printTensor, readTensorFromCSV
67 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
69 if __name__ ==
"__main__":
72 tensorData = readTensorFromCSV(datasetName)
75 absLayerForward = layers.abs.forward.Batch()
78 absLayerForward.input.setInput(layers.forward.data, tensorData)
81 forwardResult = absLayerForward.compute()
84 printTensor(forwardResult.getResult(layers.forward.value),
"Forward abs layer result (first 5 rows):", 5)
87 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
88 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
91 absLayerBackward = layers.abs.backward.Batch()
94 absLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
95 absLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
98 backwardResult = absLayerBackward.compute()
101 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward abs layer result (first 5 rows):", 5)