30 from daal.algorithms.neural_networks
import layers
31 from daal.algorithms.neural_networks.layers
import tanh
32 from daal.data_management
import HomogenTensor, TensorIface
34 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
35 if utils_folder
not in sys.path:
36 sys.path.insert(0, utils_folder)
37 from utils
import printTensor, readTensorFromCSV
40 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
42 if __name__ ==
"__main__":
45 tensorData = readTensorFromCSV(datasetName)
48 tanhLayerForward = tanh.forward.Batch()
51 tanhLayerForward.input.setInput(layers.forward.data, tensorData)
54 forwardResult = tanhLayerForward.compute()
57 printTensor(forwardResult.getResult(layers.forward.value),
"Forward tanh layer result (first 5 rows):", 5)
60 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
61 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
64 tanhLayerBackward = tanh.backward.Batch()
67 tanhLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
68 tanhLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
71 backwardResult = tanhLayerBackward.compute()
74 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward tanh layer result (first 5 rows):", 5)