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)