def create_layer_parameters(inputShape, inputPadding, inputPaddingScheme, outputShape, outputPadding, outputPaddingScheme): """Helper function to return ell.LayerParameters given input and output shapes/padding/paddingScheme""" inputPaddingParameters = ell.PaddingParameters(inputPaddingScheme, inputPadding) outputPaddingParameters = ell.PaddingParameters(outputPaddingScheme, outputPadding) return ell.LayerParameters(inputShape, inputPaddingParameters, outputShape, outputPaddingParameters)
def get_predictor(self, layer): ell_layers = [] # remove output_padding from because CNTK doesn't have output padding. layer.layer.ell_outputPaddingParameters = ell.PaddingParameters( ell.PaddingScheme.zeros, 0) layer.layer.ell_outputShape = cntk_utilities.get_adjusted_shape( layer.layer.output.shape, layer.layer.ell_outputPaddingParameters) layer.process(ell_layers) # Create an ELL neural network predictor from the relevant CNTK layers return ell.FloatNeuralNetworkPredictor(ell_layers)
def get_input_padding_parameters(self): """Returns the ell.PaddingParameters for a layer's input.""" padding = 0 if ('autoPadding' in self.attributes): if (self.attributes['autoPadding'][0] == True): padding = int((self.attributes['poolingWindowShape'][0] - 1) / 2) else: padding = self.attributes['upperPad'][0] else: padding = self.attributes['upperPad'][0] return ell.PaddingParameters(self.padding_scheme, padding)
def get_input_padding_parameters(self): """Returns the ell.PaddingParameters for a layer's input.""" paddingScheme = ell.PaddingScheme.zeros padding = 0 receptiveField = self.weights_parameter.shape[2] if ('autoPadding' in self.attributes): if (self.attributes['autoPadding'][1] == True): padding = int((receptiveField - 1) / 2) else: padding = self.attributes['upperPad'][0] else: padding = self.attributes['upperPad'][0] return ell.PaddingParameters(paddingScheme, padding)
def get_input_padding_parameters(self): """Returns the default ell.PaddingParameters for a layer's input. Derived classes may override this. """ return ell.PaddingParameters(ell.PaddingScheme.zeros, 0)