30 from daal.algorithms.neural_networks
import layers
31 from daal.algorithms.neural_networks.layers
import reshape
32 from daal.data_management
import HomogenTensor, Tensor
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)
47 reshapeDimensions = [-1, 5]
50 reshapeLayerForward = reshape.forward.Batch(reshapeDimensions)
53 reshapeLayerForward.input.setInput(layers.forward.data, tensorData)
55 printTensor(tensorData,
"Forward reshape layer input (first 5 rows):", 5)
58 forwardResult = reshapeLayerForward.compute()
61 printTensor(forwardResult.getResult(layers.forward.value),
"Forward reshape layer result (first 5 rows):", 5)
64 gDims = forwardResult.getResult(layers.forward.value).getDimensions()
65 tensorDataBack = HomogenTensor(gDims, Tensor.doAllocate, 0.01)
68 reshapeLayerBackward = reshape.backward.Batch()
71 reshapeLayerBackward.input.setInput(layers.backward.inputGradient, tensorDataBack)
72 reshapeLayerBackward.input.setInputLayerData(layers.backward.inputFromForward, forwardResult.getResultLayerData(layers.forward.resultForBackward))
75 backwardResult = reshapeLayerBackward.compute()
78 printTensor(backwardResult.getResult(layers.backward.gradient),
"Backward reshape layer result (first 5 rows):", 5)