32 from daal.algorithms.neural_networks
import layers
33 from daal.data_management
import HomogenTensor, TensorIface
35 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
36 if utils_folder
not in sys.path:
37 sys.path.insert(0, utils_folder)
38 from utils
import printTensor, readTensorFromCSV
41 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
43 if __name__ ==
"__main__":
46 tensorData = readTensorFromCSV(datasetName)
49 logisticLayerForward = layers.logistic.forward.Batch()
52 logisticLayerForward.input.setInput(layers.forward.data, tensorData)
55 forwardResult = logisticLayerForward.compute()
58 printTensor(forwardResult.getResult(layers.forward.value),
"Forward logistic layer result (first 5 rows):", 5)
61 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
62 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
65 logisticLayerBackward = layers.logistic.backward.Batch()
68 logisticLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
69 logisticLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
72 backwardResult = logisticLayerBackward.compute()
75 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward logistic layer result (first 5 rows):", 5)