30 from daal.algorithms.neural_networks
import layers
31 from daal.data_management
import HomogenTensor, TensorIface
33 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
34 if utils_folder
not in sys.path:
35 sys.path.insert(0, utils_folder)
36 from utils
import printTensor, readTensorFromCSV
39 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
41 if __name__ ==
"__main__":
44 tensorData = readTensorFromCSV(datasetName)
47 dropoutLayerForward = layers.dropout.forward.Batch()
50 dropoutLayerForward.input.setInput(layers.forward.data, tensorData)
53 forwardResult = dropoutLayerForward.compute()
55 printTensor(forwardResult.getResult(layers.forward.value),
"Forward dropout layer result (first 5 rows):", 5)
56 printTensor(forwardResult.getLayerData(layers.dropout.auxRetainMask),
"Dropout layer retain mask (first 5 rows):", 5)
59 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
60 tensorDataBack = HomogenTensor(gDims, TensorIface.doAllocate, 0.01)
63 dropoutLayerBackward = layers.dropout.backward.Batch()
66 dropoutLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
67 dropoutLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
70 backwardResult = dropoutLayerBackward.compute()
73 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward dropout layer result (first 5 rows):", 5)