32 from daal.algorithms.neural_networks
import layers
33 from daal.algorithms.neural_networks.layers
import reshape
34 from daal.data_management
import HomogenTensor, Tensor
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
42 datasetName = os.path.join(
"..",
"data",
"batch",
"layer.csv")
44 if __name__ ==
"__main__":
47 tensorData = readTensorFromCSV(datasetName)
49 reshapeDimensions = [-1, 5]
52 reshapeLayerForward = reshape.forward.Batch(reshapeDimensions)
55 reshapeLayerForward.input.setInput(layers.forward.data, tensorData)
57 printTensor(tensorData,
"Forward reshape layer input (first 5 rows):", 5)
60 forwardResult = reshapeLayerForward.compute()
63 printTensor(forwardResult.getResult(layers.forward.value),
"Forward reshape layer result (first 5 rows):", 5)
66 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
67 tensorDataBack = HomogenTensor(gDims, Tensor.doAllocate, 0.01)
70 reshapeLayerBackward = reshape.backward.Batch()
73 reshapeLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
74 reshapeLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
77 backwardResult = reshapeLayerBackward.compute()
80 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward reshape layer result (first 5 rows):", 5)