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NeuralNetworks`TensorT[{64, 32, 32}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{32, 32, 32}, NeuralNetworks`RealT]]], "DecMod3_3" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Deconvolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{32, 16, 2, 2}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 16, "KernelSize" -> {2, 2}, "Stride" -> {2, 2}, "PaddingSize" -> {{0, 0}, {0, 0}}, "Dimensionality" -> 2, "Interleaving" -> False, "ChannelGroups" -> 1, "$Dilation" -> {1, 1}, "$InputChannels" -> 32, "$InputSize" -> {32, 32}, "$OutputSize" -> {64, 64}, "$WeightsOutputChannels" -> 16], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 32, 32}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 16, "$SpatialDimensions" -> {64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {16, 64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{16, 16, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 16, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 16, "$InputSize" -> {64, 64}, "$OutputSize" -> {64, 64}, "$WeightsInputChannels" -> 16], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 16, "$SpatialDimensions" -> {64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {16, 64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 32, 32}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "Concat2_3" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{32, 64, 64}, NeuralNetworks`RealT]]], "ConvMod2_3" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{16, 32, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 16, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 32, "$InputSize" -> {64, 64}, "$OutputSize" -> {64, 64}, "$WeightsInputChannels" -> 32], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 16, "$SpatialDimensions" -> {64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {16, 64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "DecMod2_3" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Deconvolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{16, 8, 2, 2}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {2, 2}, "Stride" -> {2, 2}, "PaddingSize" -> {{0, 0}, {0, 0}}, "Dimensionality" -> 2, "Interleaving" -> False, "ChannelGroups" -> 1, "$Dilation" -> {1, 1}, "$InputChannels" -> 16, "$InputSize" -> {64, 64}, "$OutputSize" -> {128, 128}, "$WeightsOutputChannels" -> 8], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 8, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 8, "$InputSize" -> {128, 128}, "$OutputSize" -> {128, 128}, "$WeightsInputChannels" -> 8], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "Concat1_3" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]]], "ConvMod1_3" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 16, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 16, "$InputSize" -> {128, 128}, "$OutputSize" -> {128, 128}, "$WeightsInputChannels" -> 16], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "DecMod1_3" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Deconvolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 4, 2, 2}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 4, "KernelSize" -> {2, 2}, "Stride" -> {2, 2}, "PaddingSize" -> {{0, 0}, {0, 0}}, "Dimensionality" -> 2, "Interleaving" -> False, "ChannelGroups" -> 1, "$Dilation" -> {1, 1}, "$InputChannels" -> 8, "$InputSize" -> {128, 128}, "$OutputSize" -> {256, 256}, "$WeightsOutputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 4, "$SpatialDimensions" -> {256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{4, 4, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 4, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 4, "$InputSize" -> {256, 256}, "$OutputSize" -> {256, 256}, "$WeightsInputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 4, "$SpatialDimensions" -> {256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, 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-> Association["Scaling" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 16, "$SpatialDimensions" -> {64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {16, 64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{16, 16, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 16, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 16, "$InputSize" -> {64, 64}, "$OutputSize" -> {64, 64}, "$WeightsInputChannels" -> 16], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 16, "$SpatialDimensions" -> {64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {16, 64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 32, 32}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "Concat2_1" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{32, 64, 64}, NeuralNetworks`RealT]]], "ConvMod2_1" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{16, 32, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 16, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 32, "$InputSize" -> {64, 64}, "$OutputSize" -> {64, 64}, "$WeightsInputChannels" -> 32], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{16}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 16, "$SpatialDimensions" -> {64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {16, 64, 64}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{32, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]]], "DecMod2_1" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Deconvolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{16, 8, 2, 2}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {2, 2}, "Stride" -> {2, 2}, "PaddingSize" -> {{0, 0}, {0, 0}}, "Dimensionality" -> 2, "Interleaving" -> False, "ChannelGroups" -> 1, "$Dilation" -> {1, 1}, "$InputChannels" -> 16, "$InputSize" -> {64, 64}, "$OutputSize" -> {128, 128}, "$WeightsOutputChannels" -> 8], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 8, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 8, "$InputSize" -> {128, 128}, "$OutputSize" -> {128, 128}, "$WeightsInputChannels" -> 8], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "Concat1_1" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]]], "ConvMod1_1" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 16, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 16, "$InputSize" -> {128, 128}, "$OutputSize" -> {128, 128}, "$WeightsInputChannels" -> 16], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "DecMod1_1" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Deconvolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 4, 2, 2}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 4, "KernelSize" -> {2, 2}, "Stride" -> {2, 2}, "PaddingSize" -> {{0, 0}, {0, 0}}, "Dimensionality" -> 2, "Interleaving" -> False, "ChannelGroups" -> 1, "$Dilation" -> {1, 1}, "$InputChannels" -> 8, "$InputSize" -> {128, 128}, "$OutputSize" -> {256, 256}, "$WeightsOutputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 4, "$SpatialDimensions" -> {256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{4, 4, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 4, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 4, "$InputSize" -> {256, 256}, "$OutputSize" -> {256, 256}, "$WeightsInputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 4, "$SpatialDimensions" -> {256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "map1" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{1, 4, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{1}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 1, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 4, "$InputSize" -> {256, 256}, "$OutputSize" -> {256, 256}, "$WeightsInputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[LogisticSigmoid], "$Dimensions" -> {1, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "2", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]], "Concat5_2" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{128, 8, 8}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{128, 8, 8}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{256, 8, 8}, NeuralNetworks`RealT]]], "ConvMod5_2" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{128, 256, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{128}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 128, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 256, "$InputSize" -> {8, 8}, "$OutputSize" -> {8, 8}, "$WeightsInputChannels" -> 256], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{256, 8, 8}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{128, 8, 8}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{128}, NeuralNetworks`RealT], "Biases" -> 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NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "Concat1_4" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]]], "ConvMod1_4" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ 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NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", 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"Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "map4" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{1, 4, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{1}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 1, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 4, "$InputSize" -> {256, 256}, "$OutputSize" -> {256, 256}, "$WeightsInputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[LogisticSigmoid], "$Dimensions" -> {1, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "2", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]]], "Inputs" -> Association[ "Input" -> Association[ "Form" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Type" -> "Image", "ImageSize" -> {256, 256}, "ColorSpace" -> "Grayscale", "ColorChannels" -> 1, "Interleaving" -> False, "MeanImage" -> None, "VarianceImage" -> None, "$Version" -> "12.1.0"]], "Outputs" -> Association[ "Output1" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output2" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output3" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output4" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]], "Edges" -> { NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath[ "Nodes", "Concat1_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_5", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_6", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod0_6", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_6", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_6", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_6", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_6", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat5_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_6", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod5_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat5_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod5_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod5_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod5_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod4_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat4_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod4_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod4_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod4_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod3_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat3_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod3_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod3_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod3_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output3"] -> NeuralNetworks`NetPath[ "Nodes", "map3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod5_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat5_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod5_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod5_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod5_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod4_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat4_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod4_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod4_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod4_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod3_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat3_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod3_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod3_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod3_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_1", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output1"] -> NeuralNetworks`NetPath[ "Nodes", "map1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod5_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat5_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod5_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod5_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod5_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod4_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat4_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod4_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod4_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod4_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod3_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat3_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod3_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod3_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod3_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output2"] -> NeuralNetworks`NetPath[ "Nodes", "map2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod5_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat5_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod5_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod5_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat4_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod5_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod4_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat4_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod4_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod4_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat3_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod4_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod3_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat3_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod3_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod3_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod3_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_4", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output4"] -> NeuralNetworks`NetPath[ "Nodes", "map4", "Outputs", "Output"]}], 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NeuralNetworks`NetPath["Nodes", "ConvMod3_2"], NeuralNetworks`NetPath["Nodes", "Concat3_3"], NeuralNetworks`NetPath["Nodes", "ConvMod3_3"], NeuralNetworks`NetPath["Nodes", "Concat3_4"], NeuralNetworks`NetPath["Nodes", "ConvMod3_4"], NeuralNetworks`NetPath["Nodes", "Concat4_1"], NeuralNetworks`NetPath["Nodes", "ConvMod4_1"], NeuralNetworks`NetPath["Nodes", "Concat4_2"], NeuralNetworks`NetPath["Nodes", "ConvMod4_2"], NeuralNetworks`NetPath["Nodes", "Concat4_3"], NeuralNetworks`NetPath["Nodes", "ConvMod4_3"], NeuralNetworks`NetPath["Nodes", "Concat4_4"], NeuralNetworks`NetPath["Nodes", "ConvMod4_4"], NeuralNetworks`NetPath["Nodes", "Concat5_1"], NeuralNetworks`NetPath["Nodes", "ConvMod5_1"], NeuralNetworks`NetPath["Nodes", "Concat5_2"], NeuralNetworks`NetPath["Nodes", "ConvMod5_2"], NeuralNetworks`NetPath["Nodes", "Concat5_3"], NeuralNetworks`NetPath["Nodes", "ConvMod5_3"], NeuralNetworks`NetPath["Nodes", "Concat5_4"], NeuralNetworks`NetPath["Nodes", "ConvMod5_4"], 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{NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 64, 64}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "Concat1_6" -> Association[ "Type" -> "Catenate", "Arrays" -> Association[], "Parameters" -> Association["Level" -> 1], "Inputs" -> Association[ "1" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT], "2" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]]], "ConvMod1_6" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 16, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 8, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 16, "$InputSize" -> {128, 128}, "$OutputSize" -> {128, 128}, "$WeightsInputChannels" -> 16], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{8}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 8, "$SpatialDimensions" -> {128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {8, 128, 128}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{16, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]]], "DecMod1_6" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Deconvolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{8, 4, 2, 2}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 4, "KernelSize" -> {2, 2}, "Stride" -> {2, 2}, "PaddingSize" -> {{0, 0}, {0, 0}}, "Dimensionality" -> 2, "Interleaving" -> False, "ChannelGroups" -> 1, "$Dilation" -> {1, 1}, "$InputChannels" -> 8, "$InputSize" -> {128, 128}, "$OutputSize" -> {256, 256}, "$WeightsOutputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]], "Parameters" -> Association[ "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 4, "$SpatialDimensions" -> {256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "4" -> Association["Type" -> "Chain", "Nodes" -> Association["1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{4, 4, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 4, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 4, "$InputSize" -> {256, 256}, "$OutputSize" -> {256, 256}, "$WeightsInputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "BatchNormalization", "Arrays" -> Association["Scaling" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingMean" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT], "MovingVariance" -> NeuralNetworks`TensorT[{4}, NeuralNetworks`RealT]], "Parameters" -> Association["Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> False, "$Channels" -> 4, "$SpatialDimensions" -> {256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "3" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[Ramp], "$Dimensions" -> {4, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> {NeuralNetworks`NetPath[ "Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "3", "Outputs", "Output"]}, "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "4", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{8, 128, 128}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]]], "map6" -> Association[ "Type" -> "Chain", "Nodes" -> Association[ "1" -> Association[ "Type" -> "Convolution", "Arrays" -> Association["Weights" -> NeuralNetworks`TensorT[{1, 4, 3, 3}, NeuralNetworks`RealT], "Biases" -> NeuralNetworks`Nullable[ NeuralNetworks`TensorT[{1}, NeuralNetworks`RealT]]], "Parameters" -> Association[ "OutputChannels" -> 1, "KernelSize" -> {3, 3}, "Stride" -> {1, 1}, "PaddingSize" -> {{1, 1}, {1, 1}}, "Dilation" -> {1, 1}, "ChannelGroups" -> 1, "Dimensionality" -> 2, "Interleaving" -> False, "$InputChannels" -> 4, "$InputSize" -> {256, 256}, "$OutputSize" -> {256, 256}, "$WeightsInputChannels" -> 4], "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]], "2" -> Association["Type" -> "Elementwise", "Arrays" -> Association[], "Parameters" -> Association["Function" -> NeuralNetworks`ValidatedParameter[LogisticSigmoid], "$Dimensions" -> {1, 256, 256}], "Inputs" -> Association["Input" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association["Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]]], "Edges" -> { NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "2", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{4, 256, 256}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]]]], "Inputs" -> Association[ "Input" -> Association[ "Form" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Type" -> "Image", "ImageSize" -> {256, 256}, "ColorSpace" -> "Grayscale", "ColorChannels" -> 1, "Interleaving" -> False, "MeanImage" -> None, "VarianceImage" -> None, "$Version" -> "12.1.3"]], "Outputs" -> Association[ "Output1" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output2" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output3" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output4" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output5" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output6" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT], "Output7" -> NeuralNetworks`TensorT[{1, 256, 256}, NeuralNetworks`RealT]], "Edges" -> { NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Inputs", "Input"] -> NeuralNetworks`NetPath["Inputs", "Input"], NeuralNetworks`NetPath[ "Nodes", "Concat1_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_5", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_6", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_7", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_1", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_2", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_3", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_4", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_5", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_6", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_7", "Inputs", "1"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "EncMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_5", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_6", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat2_7", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod0_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_1", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map1", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_1", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output1"] -> NeuralNetworks`NetPath[ "Nodes", "map1", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_2", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map2", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_2", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output2"] -> NeuralNetworks`NetPath[ "Nodes", "map2", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_5", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_5", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_5", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_5", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_5", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map5", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_5", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output5"] -> NeuralNetworks`NetPath[ "Nodes", "map5", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_4", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map4", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_4", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output4"] -> NeuralNetworks`NetPath[ "Nodes", "map4", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_7", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_7", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_7", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_7", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_7", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_7", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_7", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_7", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_7", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_7", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "map7", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod1_7", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output7"] -> NeuralNetworks`NetPath[ "Nodes", "map7", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod2_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat2_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod2_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod2_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "Concat1_3", "Inputs", "2"] -> NeuralNetworks`NetPath[ "Nodes", "DecMod2_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "ConvMod1_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "Concat1_3", "Outputs", "Output"], NeuralNetworks`NetPath[ "Nodes", "DecMod1_3", "Inputs", "Input"] -> NeuralNetworks`NetPath[ "Nodes", "ConvMod1_3", "Outputs", "Output"], 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