var $root = flatbuffers.get('armnn'); $root.armnnSerializer = $root.armnnSerializer || {}; $root.armnnSerializer.ActivationFunction = { Sigmoid: 0, TanH: 1, Linear: 2, ReLu: 3, BoundedReLu: 4, SoftReLu: 5, LeakyReLu: 6, Abs: 7, Sqrt: 8, Square: 9, Elu: 10, HardSwish: 11 }; $root.armnnSerializer.ArgMinMaxFunction = { Min: 0, Max: 1 }; $root.armnnSerializer.DataType = { Float16: 0, Float32: 1, QuantisedAsymm8: 2, Signed32: 3, Boolean: 4, QuantisedSymm16: 5, QAsymmU8: 6, QSymmS16: 7, QAsymmS8: 8, QSymmS8: 9 }; $root.armnnSerializer.DataLayout = { NHWC: 0, NCHW: 1 }; $root.armnnSerializer.ResizeMethod = { NearestNeighbor: 0, Bilinear: 1 }; $root.armnnSerializer.TensorInfo = class TensorInfo { static decode(reader, position) { const $ = new $root.armnnSerializer.TensorInfo(); $.dimensions = reader.typedArray(position, 4, Uint32Array); $.dataType = reader.int8_(position, 6, 0); $.quantizationScale = reader.float32_(position, 8, 1); $.quantizationOffset = reader.int32_(position, 10, 0); $.quantizationScales = reader.typedArray(position, 12, Float32Array); $.quantizationDim = reader.uint32_(position, 14, 0); $.dimensionality = reader.uint32_(position, 16, 1); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.TensorInfo(); $.dimensions = reader.typedArray(json.dimensions, Uint32Array); $.dataType = $root.armnnSerializer.DataType[json.dataType]; $.quantizationScale = reader.value(json.quantizationScale, 1); $.quantizationOffset = reader.value(json.quantizationOffset, 0); $.quantizationScales = reader.typedArray(json.quantizationScales, Float32Array); $.quantizationDim = reader.value(json.quantizationDim, 0); $.dimensionality = reader.value(json.dimensionality, 1); return $; } }; $root.armnnSerializer.Connection = class Connection { static decode(reader, position) { const $ = new $root.armnnSerializer.Connection(); $.sourceLayerIndex = reader.uint32(position + 0); $.outputSlotIndex = reader.uint32(position + 4); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.Connection(); $.sourceLayerIndex = json.sourceLayerIndex; $.outputSlotIndex = json.outputSlotIndex; return $; } }; $root.armnnSerializer.ByteData = class ByteData { static decode(reader, position) { const $ = new $root.armnnSerializer.ByteData(); $.data = reader.typedArray(position, 4, Int8Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ByteData(); $.data = reader.typedArray(json.data, Int8Array); return $; } }; $root.armnnSerializer.ShortData = class ShortData { static decode(reader, position) { const $ = new $root.armnnSerializer.ShortData(); $.data = reader.typedArray(position, 4, Int16Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ShortData(); $.data = reader.typedArray(json.data, Int16Array); return $; } }; $root.armnnSerializer.IntData = class IntData { static decode(reader, position) { const $ = new $root.armnnSerializer.IntData(); $.data = reader.typedArray(position, 4, Int32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.IntData(); $.data = reader.typedArray(json.data, Int32Array); return $; } }; $root.armnnSerializer.LongData = class LongData { static decode(reader, position) { const $ = new $root.armnnSerializer.LongData(); $.data = reader.int64s_(position, 4); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LongData(); $.data = reader.array(json.data); return $; } }; $root.armnnSerializer.ConstTensorData = class { static decode(reader, position, type) { switch (type) { case 1: return $root.armnnSerializer.ByteData.decode(reader, position); case 2: return $root.armnnSerializer.ShortData.decode(reader, position); case 3: return $root.armnnSerializer.IntData.decode(reader, position); case 4: return $root.armnnSerializer.LongData.decode(reader, position); } return undefined; } static decodeText(reader, json, type) { switch (type) { case 'ByteData': return $root.armnnSerializer.ByteData.decodeText(reader, json); case 'ShortData': return $root.armnnSerializer.ShortData.decodeText(reader, json); case 'IntData': return $root.armnnSerializer.IntData.decodeText(reader, json); case 'LongData': return $root.armnnSerializer.LongData.decodeText(reader, json); } return undefined; } }; $root.armnnSerializer.ConstTensor = class ConstTensor { static decode(reader, position) { const $ = new $root.armnnSerializer.ConstTensor(); $.info = reader.table(position, 4, $root.armnnSerializer.TensorInfo.decode); $.data = reader.union(position, 6, $root.armnnSerializer.ConstTensorData.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ConstTensor(); $.info = reader.object(json.info, $root.armnnSerializer.TensorInfo.decodeText); $.data = $root.armnnSerializer.ConstTensorData.decodeText(reader, json.data, json.data_type); return $; } }; $root.armnnSerializer.InputSlot = class InputSlot { static decode(reader, position) { const $ = new $root.armnnSerializer.InputSlot(); $.index = reader.uint32_(position, 4, 0); $.connection = reader.struct(position, 6, $root.armnnSerializer.Connection.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.InputSlot(); $.index = reader.value(json.index, 0); $.connection = reader.object(json.connection, $root.armnnSerializer.Connection.decodeText); return $; } }; $root.armnnSerializer.OutputSlot = class OutputSlot { static decode(reader, position) { const $ = new $root.armnnSerializer.OutputSlot(); $.index = reader.uint32_(position, 4, 0); $.tensorInfo = reader.table(position, 6, $root.armnnSerializer.TensorInfo.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.OutputSlot(); $.index = reader.value(json.index, 0); $.tensorInfo = reader.object(json.tensorInfo, $root.armnnSerializer.TensorInfo.decodeText); return $; } }; $root.armnnSerializer.LayerType = { Addition: 0, Input: 1, Multiplication: 2, Output: 3, Pooling2d: 4, Reshape: 5, Softmax: 6, Convolution2d: 7, DepthwiseConvolution2d: 8, Activation: 9, Permute: 10, FullyConnected: 11, Constant: 12, SpaceToBatchNd: 13, BatchToSpaceNd: 14, Division: 15, Minimum: 16, Equal: 17, Maximum: 18, Normalization: 19, Pad: 20, Rsqrt: 21, Floor: 22, BatchNormalization: 23, Greater: 24, ResizeBilinear: 25, Subtraction: 26, StridedSlice: 27, Gather: 28, Mean: 29, Merger: 30, L2Normalization: 31, Splitter: 32, DetectionPostProcess: 33, Lstm: 34, Quantize: 35, Dequantize: 36, Merge: 37, Switch: 38, Concat: 39, SpaceToDepth: 40, Prelu: 41, TransposeConvolution2d: 42, Resize: 43, Stack: 44, QuantizedLstm: 45, Abs: 46, ArgMinMax: 47, Slice: 48, DepthToSpace: 49, InstanceNormalization: 50, LogSoftmax: 51, Comparison: 52, StandIn: 53, ElementwiseUnary: 54, Transpose: 55, QLstm: 56, Fill: 57, Rank: 58 }; $root.armnnSerializer.LayerBase = class LayerBase { static decode(reader, position) { const $ = new $root.armnnSerializer.LayerBase(); $.index = reader.uint32_(position, 4, 0); $.layerName = reader.string_(position, 6, null); $.layerType = reader.uint32_(position, 8, 0); $.inputSlots = reader.tableArray(position, 10, $root.armnnSerializer.InputSlot.decode); $.outputSlots = reader.tableArray(position, 12, $root.armnnSerializer.OutputSlot.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LayerBase(); $.index = reader.value(json.index, 0); $.layerName = reader.value(json.layerName, null); $.layerType = $root.armnnSerializer.LayerType[json.layerType]; $.inputSlots = reader.objectArray(json.inputSlots, $root.armnnSerializer.InputSlot.decodeText); $.outputSlots = reader.objectArray(json.outputSlots, $root.armnnSerializer.OutputSlot.decodeText); return $; } }; $root.armnnSerializer.BindableLayerBase = class BindableLayerBase { static decode(reader, position) { const $ = new $root.armnnSerializer.BindableLayerBase(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.layerBindingId = reader.int32_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.BindableLayerBase(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.layerBindingId = reader.value(json.layerBindingId, 0); return $; } }; $root.armnnSerializer.AbsLayer = class AbsLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.AbsLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.AbsLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.ActivationLayer = class ActivationLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ActivationLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ActivationDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ActivationLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ActivationDescriptor.decodeText); return $; } }; $root.armnnSerializer.ActivationDescriptor = class ActivationDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ActivationDescriptor(); $.activationFunction = reader.int8_(position, 4, 0); $.a = reader.float32_(position, 6, 0); $.b = reader.float32_(position, 8, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ActivationDescriptor(); $.activationFunction = $root.armnnSerializer.ActivationFunction[json.activationFunction]; $.a = reader.value(json.a, 0); $.b = reader.value(json.b, 0); return $; } }; $root.armnnSerializer.AdditionLayer = class AdditionLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.AdditionLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.AdditionLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.ArgMinMaxLayer = class ArgMinMaxLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ArgMinMaxLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ArgMinMaxDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ArgMinMaxLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ArgMinMaxDescriptor.decodeText); return $; } }; $root.armnnSerializer.ArgMinMaxDescriptor = class ArgMinMaxDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ArgMinMaxDescriptor(); $.argMinMaxFunction = reader.int8_(position, 4, 0); $.axis = reader.int32_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ArgMinMaxDescriptor(); $.argMinMaxFunction = $root.armnnSerializer.ArgMinMaxFunction[json.argMinMaxFunction]; $.axis = reader.value(json.axis, 0); return $; } }; $root.armnnSerializer.ComparisonOperation = { Equal: 0, Greater: 1, GreaterOrEqual: 2, Less: 3, LessOrEqual: 4, NotEqual: 5 }; $root.armnnSerializer.ComparisonDescriptor = class ComparisonDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ComparisonDescriptor(); $.operation = reader.int8_(position, 4, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ComparisonDescriptor(); $.operation = $root.armnnSerializer.ComparisonOperation[json.operation]; return $; } }; $root.armnnSerializer.ComparisonLayer = class ComparisonLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ComparisonLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ComparisonDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ComparisonLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ComparisonDescriptor.decodeText); return $; } }; $root.armnnSerializer.ConstantLayer = class ConstantLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ConstantLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.input = reader.table(position, 6, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ConstantLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.input = reader.object(json.input, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.Convolution2dLayer = class Convolution2dLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.Convolution2dLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.Convolution2dDescriptor.decode); $.weights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.biases = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.Convolution2dLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.Convolution2dDescriptor.decodeText); $.weights = reader.object(json.weights, $root.armnnSerializer.ConstTensor.decodeText); $.biases = reader.object(json.biases, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.Convolution2dDescriptor = class Convolution2dDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.Convolution2dDescriptor(); $.padLeft = reader.uint32_(position, 4, 0); $.padRight = reader.uint32_(position, 6, 0); $.padTop = reader.uint32_(position, 8, 0); $.padBottom = reader.uint32_(position, 10, 0); $.strideX = reader.uint32_(position, 12, 0); $.strideY = reader.uint32_(position, 14, 0); $.dilationX = reader.uint32_(position, 16, 1); $.dilationY = reader.uint32_(position, 18, 1); $.biasEnabled = reader.bool_(position, 20, false); $.dataLayout = reader.int8_(position, 22, 1); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.Convolution2dDescriptor(); $.padLeft = reader.value(json.padLeft, 0); $.padRight = reader.value(json.padRight, 0); $.padTop = reader.value(json.padTop, 0); $.padBottom = reader.value(json.padBottom, 0); $.strideX = reader.value(json.strideX, 0); $.strideY = reader.value(json.strideY, 0); $.dilationX = reader.value(json.dilationX, 1); $.dilationY = reader.value(json.dilationY, 1); $.biasEnabled = reader.value(json.biasEnabled, false); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.DepthToSpaceLayer = class DepthToSpaceLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.DepthToSpaceLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.DepthToSpaceDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DepthToSpaceLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.DepthToSpaceDescriptor.decodeText); return $; } }; $root.armnnSerializer.DepthToSpaceDescriptor = class DepthToSpaceDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.DepthToSpaceDescriptor(); $.blockSize = reader.uint32_(position, 4, 0); $.dataLayout = reader.int8_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DepthToSpaceDescriptor(); $.blockSize = reader.value(json.blockSize, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.DivisionLayer = class DivisionLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.DivisionLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DivisionLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.UnaryOperation = { Abs: 0, Rsqrt: 1, Sqrt: 2, Exp: 3, Neg: 4 }; $root.armnnSerializer.ElementwiseUnaryDescriptor = class ElementwiseUnaryDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ElementwiseUnaryDescriptor(); $.operation = reader.int8_(position, 4, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ElementwiseUnaryDescriptor(); $.operation = $root.armnnSerializer.UnaryOperation[json.operation]; return $; } }; $root.armnnSerializer.ElementwiseUnaryLayer = class ElementwiseUnaryLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ElementwiseUnaryLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ElementwiseUnaryDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ElementwiseUnaryLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ElementwiseUnaryDescriptor.decodeText); return $; } }; $root.armnnSerializer.EqualLayer = class EqualLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.EqualLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.EqualLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.FillLayer = class FillLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.FillLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.FillDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.FillLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.FillDescriptor.decodeText); return $; } }; $root.armnnSerializer.FillDescriptor = class FillDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.FillDescriptor(); $.value = reader.float32_(position, 4, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.FillDescriptor(); $.value = reader.value(json.value, 0); return $; } }; $root.armnnSerializer.FloorLayer = class FloorLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.FloorLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.FloorLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.FullyConnectedLayer = class FullyConnectedLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.FullyConnectedLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.FullyConnectedDescriptor.decode); $.weights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.biases = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.FullyConnectedLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.FullyConnectedDescriptor.decodeText); $.weights = reader.object(json.weights, $root.armnnSerializer.ConstTensor.decodeText); $.biases = reader.object(json.biases, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.FullyConnectedDescriptor = class FullyConnectedDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.FullyConnectedDescriptor(); $.biasEnabled = reader.bool_(position, 4, false); $.transposeWeightsMatrix = reader.bool_(position, 6, false); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.FullyConnectedDescriptor(); $.biasEnabled = reader.value(json.biasEnabled, false); $.transposeWeightsMatrix = reader.value(json.transposeWeightsMatrix, false); return $; } }; $root.armnnSerializer.GatherLayer = class GatherLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.GatherLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.GatherDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.GatherLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.GatherDescriptor.decodeText); return $; } }; $root.armnnSerializer.GatherDescriptor = class GatherDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.GatherDescriptor(); $.axis = reader.int32_(position, 4, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.GatherDescriptor(); $.axis = reader.value(json.axis, 0); return $; } }; $root.armnnSerializer.GreaterLayer = class GreaterLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.GreaterLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.GreaterLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.InputLayer = class InputLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.InputLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.BindableLayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.InputLayer(); $.base = reader.object(json.base, $root.armnnSerializer.BindableLayerBase.decodeText); return $; } }; $root.armnnSerializer.InstanceNormalizationLayer = class InstanceNormalizationLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.InstanceNormalizationLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.InstanceNormalizationDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.InstanceNormalizationLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.InstanceNormalizationDescriptor.decodeText); return $; } }; $root.armnnSerializer.InstanceNormalizationDescriptor = class InstanceNormalizationDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.InstanceNormalizationDescriptor(); $.gamma = reader.float32_(position, 4, 0); $.beta = reader.float32_(position, 6, 0); $.eps = reader.float32_(position, 8, 0); $.dataLayout = reader.int8_(position, 10, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.InstanceNormalizationDescriptor(); $.gamma = reader.value(json.gamma, 0); $.beta = reader.value(json.beta, 0); $.eps = reader.value(json.eps, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.LogSoftmaxLayer = class LogSoftmaxLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.LogSoftmaxLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.LogSoftmaxDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LogSoftmaxLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.LogSoftmaxDescriptor.decodeText); return $; } }; $root.armnnSerializer.LogSoftmaxDescriptor = class LogSoftmaxDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.LogSoftmaxDescriptor(); $.beta = reader.float32_(position, 4, 1); $.axis = reader.int32_(position, 6, -1); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LogSoftmaxDescriptor(); $.beta = reader.value(json.beta, 1); $.axis = reader.value(json.axis, -1); return $; } }; $root.armnnSerializer.L2NormalizationLayer = class L2NormalizationLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.L2NormalizationLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.L2NormalizationDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.L2NormalizationLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.L2NormalizationDescriptor.decodeText); return $; } }; $root.armnnSerializer.L2NormalizationDescriptor = class L2NormalizationDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.L2NormalizationDescriptor(); $.dataLayout = reader.int8_(position, 4, 1); $.eps = reader.float32_(position, 6, 1e-12); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.L2NormalizationDescriptor(); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; $.eps = reader.value(json.eps, 1e-12); return $; } }; $root.armnnSerializer.MinimumLayer = class MinimumLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.MinimumLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MinimumLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.MaximumLayer = class MaximumLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.MaximumLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MaximumLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.MultiplicationLayer = class MultiplicationLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.MultiplicationLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MultiplicationLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.Pooling2dLayer = class Pooling2dLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.Pooling2dLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.Pooling2dDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.Pooling2dLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.Pooling2dDescriptor.decodeText); return $; } }; $root.armnnSerializer.PoolingAlgorithm = { Max: 0, Average: 1, L2: 2 }; $root.armnnSerializer.OutputShapeRounding = { Floor: 0, Ceiling: 1 }; $root.armnnSerializer.PaddingMethod = { IgnoreValue: 0, Exclude: 1 }; $root.armnnSerializer.Pooling2dDescriptor = class Pooling2dDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.Pooling2dDescriptor(); $.poolType = reader.int8_(position, 4, 0); $.padLeft = reader.uint32_(position, 6, 0); $.padRight = reader.uint32_(position, 8, 0); $.padTop = reader.uint32_(position, 10, 0); $.padBottom = reader.uint32_(position, 12, 0); $.poolWidth = reader.uint32_(position, 14, 0); $.poolHeight = reader.uint32_(position, 16, 0); $.strideX = reader.uint32_(position, 18, 0); $.strideY = reader.uint32_(position, 20, 0); $.outputShapeRounding = reader.int8_(position, 22, 0); $.paddingMethod = reader.int8_(position, 24, 0); $.dataLayout = reader.int8_(position, 26, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.Pooling2dDescriptor(); $.poolType = $root.armnnSerializer.PoolingAlgorithm[json.poolType]; $.padLeft = reader.value(json.padLeft, 0); $.padRight = reader.value(json.padRight, 0); $.padTop = reader.value(json.padTop, 0); $.padBottom = reader.value(json.padBottom, 0); $.poolWidth = reader.value(json.poolWidth, 0); $.poolHeight = reader.value(json.poolHeight, 0); $.strideX = reader.value(json.strideX, 0); $.strideY = reader.value(json.strideY, 0); $.outputShapeRounding = $root.armnnSerializer.OutputShapeRounding[json.outputShapeRounding]; $.paddingMethod = $root.armnnSerializer.PaddingMethod[json.paddingMethod]; $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.QuantizeLayer = class QuantizeLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.QuantizeLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.QuantizeLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.SoftmaxLayer = class SoftmaxLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SoftmaxLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.SoftmaxDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SoftmaxLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.SoftmaxDescriptor.decodeText); return $; } }; $root.armnnSerializer.SoftmaxDescriptor = class SoftmaxDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.SoftmaxDescriptor(); $.beta = reader.float32_(position, 4, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SoftmaxDescriptor(); $.beta = reader.value(json.beta, 0); return $; } }; $root.armnnSerializer.DepthwiseConvolution2dLayer = class DepthwiseConvolution2dLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.DepthwiseConvolution2dLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.DepthwiseConvolution2dDescriptor.decode); $.weights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.biases = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DepthwiseConvolution2dLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.DepthwiseConvolution2dDescriptor.decodeText); $.weights = reader.object(json.weights, $root.armnnSerializer.ConstTensor.decodeText); $.biases = reader.object(json.biases, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.DepthwiseConvolution2dDescriptor = class DepthwiseConvolution2dDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.DepthwiseConvolution2dDescriptor(); $.padLeft = reader.uint32_(position, 4, 0); $.padRight = reader.uint32_(position, 6, 0); $.padTop = reader.uint32_(position, 8, 0); $.padBottom = reader.uint32_(position, 10, 0); $.strideX = reader.uint32_(position, 12, 0); $.strideY = reader.uint32_(position, 14, 0); $.dilationX = reader.uint32_(position, 16, 1); $.dilationY = reader.uint32_(position, 18, 1); $.biasEnabled = reader.bool_(position, 20, false); $.dataLayout = reader.int8_(position, 22, 1); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DepthwiseConvolution2dDescriptor(); $.padLeft = reader.value(json.padLeft, 0); $.padRight = reader.value(json.padRight, 0); $.padTop = reader.value(json.padTop, 0); $.padBottom = reader.value(json.padBottom, 0); $.strideX = reader.value(json.strideX, 0); $.strideY = reader.value(json.strideY, 0); $.dilationX = reader.value(json.dilationX, 1); $.dilationY = reader.value(json.dilationY, 1); $.biasEnabled = reader.value(json.biasEnabled, false); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.OutputLayer = class OutputLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.OutputLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.BindableLayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.OutputLayer(); $.base = reader.object(json.base, $root.armnnSerializer.BindableLayerBase.decodeText); return $; } }; $root.armnnSerializer.ReshapeLayer = class ReshapeLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ReshapeLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ReshapeDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ReshapeLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ReshapeDescriptor.decodeText); return $; } }; $root.armnnSerializer.ReshapeDescriptor = class ReshapeDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ReshapeDescriptor(); $.targetShape = reader.typedArray(position, 4, Uint32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ReshapeDescriptor(); $.targetShape = reader.typedArray(json.targetShape, Uint32Array); return $; } }; $root.armnnSerializer.PermuteLayer = class PermuteLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.PermuteLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.PermuteDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.PermuteLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.PermuteDescriptor.decodeText); return $; } }; $root.armnnSerializer.PermuteDescriptor = class PermuteDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.PermuteDescriptor(); $.dimMappings = reader.typedArray(position, 4, Uint32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.PermuteDescriptor(); $.dimMappings = reader.typedArray(json.dimMappings, Uint32Array); return $; } }; $root.armnnSerializer.SpaceToBatchNdLayer = class SpaceToBatchNdLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SpaceToBatchNdLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.SpaceToBatchNdDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SpaceToBatchNdLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.SpaceToBatchNdDescriptor.decodeText); return $; } }; $root.armnnSerializer.SpaceToBatchNdDescriptor = class SpaceToBatchNdDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.SpaceToBatchNdDescriptor(); $.blockShape = reader.typedArray(position, 4, Uint32Array); $.padList = reader.typedArray(position, 6, Uint32Array); $.dataLayout = reader.int8_(position, 8, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SpaceToBatchNdDescriptor(); $.blockShape = reader.typedArray(json.blockShape, Uint32Array); $.padList = reader.typedArray(json.padList, Uint32Array); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.SpaceToDepthLayer = class SpaceToDepthLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SpaceToDepthLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.SpaceToDepthDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SpaceToDepthLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.SpaceToDepthDescriptor.decodeText); return $; } }; $root.armnnSerializer.SpaceToDepthDescriptor = class SpaceToDepthDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.SpaceToDepthDescriptor(); $.blockSize = reader.uint32_(position, 4, 0); $.dataLayout = reader.int8_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SpaceToDepthDescriptor(); $.blockSize = reader.value(json.blockSize, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.SubtractionLayer = class SubtractionLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SubtractionLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SubtractionLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.BatchToSpaceNdLayer = class BatchToSpaceNdLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.BatchToSpaceNdLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.BatchToSpaceNdDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.BatchToSpaceNdLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.BatchToSpaceNdDescriptor.decodeText); return $; } }; $root.armnnSerializer.BatchToSpaceNdDescriptor = class BatchToSpaceNdDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.BatchToSpaceNdDescriptor(); $.blockShape = reader.typedArray(position, 4, Uint32Array); $.crops = reader.typedArray(position, 6, Uint32Array); $.dataLayout = reader.int8_(position, 8, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.BatchToSpaceNdDescriptor(); $.blockShape = reader.typedArray(json.blockShape, Uint32Array); $.crops = reader.typedArray(json.crops, Uint32Array); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.NormalizationAlgorithmChannel = { Across: 0, Within: 1 }; $root.armnnSerializer.NormalizationAlgorithmMethod = { LocalBrightness: 0, LocalContrast: 1 }; $root.armnnSerializer.NormalizationLayer = class NormalizationLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.NormalizationLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.NormalizationDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.NormalizationLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.NormalizationDescriptor.decodeText); return $; } }; $root.armnnSerializer.NormalizationDescriptor = class NormalizationDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.NormalizationDescriptor(); $.normChannelType = reader.int8_(position, 4, 0); $.normMethodType = reader.int8_(position, 6, 0); $.normSize = reader.uint32_(position, 8, 0); $.alpha = reader.float32_(position, 10, 0); $.beta = reader.float32_(position, 12, 0); $.k = reader.float32_(position, 14, 0); $.dataLayout = reader.int8_(position, 16, 1); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.NormalizationDescriptor(); $.normChannelType = $root.armnnSerializer.NormalizationAlgorithmChannel[json.normChannelType]; $.normMethodType = $root.armnnSerializer.NormalizationAlgorithmMethod[json.normMethodType]; $.normSize = reader.value(json.normSize, 0); $.alpha = reader.value(json.alpha, 0); $.beta = reader.value(json.beta, 0); $.k = reader.value(json.k, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.MeanLayer = class MeanLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.MeanLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.MeanDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MeanLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.MeanDescriptor.decodeText); return $; } }; $root.armnnSerializer.MeanDescriptor = class MeanDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.MeanDescriptor(); $.axis = reader.typedArray(position, 4, Uint32Array); $.keepDims = reader.bool_(position, 6, false); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MeanDescriptor(); $.axis = reader.typedArray(json.axis, Uint32Array); $.keepDims = reader.value(json.keepDims, false); return $; } }; $root.armnnSerializer.PadLayer = class PadLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.PadLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.PadDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.PadLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.PadDescriptor.decodeText); return $; } }; $root.armnnSerializer.PadDescriptor = class PadDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.PadDescriptor(); $.padList = reader.typedArray(position, 4, Uint32Array); $.padValue = reader.float32_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.PadDescriptor(); $.padList = reader.typedArray(json.padList, Uint32Array); $.padValue = reader.value(json.padValue, 0); return $; } }; $root.armnnSerializer.RsqrtLayer = class RsqrtLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.RsqrtLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.RsqrtLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.BatchNormalizationLayer = class BatchNormalizationLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.BatchNormalizationLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.BatchNormalizationDescriptor.decode); $.mean = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.variance = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); $.beta = reader.table(position, 12, $root.armnnSerializer.ConstTensor.decode); $.gamma = reader.table(position, 14, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.BatchNormalizationLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.BatchNormalizationDescriptor.decodeText); $.mean = reader.object(json.mean, $root.armnnSerializer.ConstTensor.decodeText); $.variance = reader.object(json.variance, $root.armnnSerializer.ConstTensor.decodeText); $.beta = reader.object(json.beta, $root.armnnSerializer.ConstTensor.decodeText); $.gamma = reader.object(json.gamma, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.BatchNormalizationDescriptor = class BatchNormalizationDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.BatchNormalizationDescriptor(); $.eps = reader.float32_(position, 4, 0); $.dataLayout = reader.int8_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.BatchNormalizationDescriptor(); $.eps = reader.value(json.eps, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.ResizeBilinearLayer = class ResizeBilinearLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ResizeBilinearLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ResizeBilinearDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ResizeBilinearLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ResizeBilinearDescriptor.decodeText); return $; } }; $root.armnnSerializer.ResizeBilinearDescriptor = class ResizeBilinearDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ResizeBilinearDescriptor(); $.targetWidth = reader.uint32_(position, 4, 0); $.targetHeight = reader.uint32_(position, 6, 0); $.dataLayout = reader.int8_(position, 8, 0); $.alignCorners = reader.bool_(position, 10, false); $.halfPixelCenters = reader.bool_(position, 12, false); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ResizeBilinearDescriptor(); $.targetWidth = reader.value(json.targetWidth, 0); $.targetHeight = reader.value(json.targetHeight, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; $.alignCorners = reader.value(json.alignCorners, false); $.halfPixelCenters = reader.value(json.halfPixelCenters, false); return $; } }; $root.armnnSerializer.SliceLayer = class SliceLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SliceLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.SliceDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SliceLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.SliceDescriptor.decodeText); return $; } }; $root.armnnSerializer.SliceDescriptor = class SliceDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.SliceDescriptor(); $.begin = reader.typedArray(position, 4, Uint32Array); $.size = reader.typedArray(position, 6, Uint32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SliceDescriptor(); $.begin = reader.typedArray(json.begin, Uint32Array); $.size = reader.typedArray(json.size, Uint32Array); return $; } }; $root.armnnSerializer.StridedSliceLayer = class StridedSliceLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.StridedSliceLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.StridedSliceDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.StridedSliceLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.StridedSliceDescriptor.decodeText); return $; } }; $root.armnnSerializer.StridedSliceDescriptor = class StridedSliceDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.StridedSliceDescriptor(); $.begin = reader.typedArray(position, 4, Int32Array); $.end = reader.typedArray(position, 6, Int32Array); $.stride = reader.typedArray(position, 8, Int32Array); $.beginMask = reader.int32_(position, 10, 0); $.endMask = reader.int32_(position, 12, 0); $.shrinkAxisMask = reader.int32_(position, 14, 0); $.ellipsisMask = reader.int32_(position, 16, 0); $.newAxisMask = reader.int32_(position, 18, 0); $.dataLayout = reader.int8_(position, 20, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.StridedSliceDescriptor(); $.begin = reader.typedArray(json.begin, Int32Array); $.end = reader.typedArray(json.end, Int32Array); $.stride = reader.typedArray(json.stride, Int32Array); $.beginMask = reader.value(json.beginMask, 0); $.endMask = reader.value(json.endMask, 0); $.shrinkAxisMask = reader.value(json.shrinkAxisMask, 0); $.ellipsisMask = reader.value(json.ellipsisMask, 0); $.newAxisMask = reader.value(json.newAxisMask, 0); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.ConcatLayer = class ConcatLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ConcatLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.OriginsDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ConcatLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.OriginsDescriptor.decodeText); return $; } }; $root.armnnSerializer.MergerLayer = class MergerLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.MergerLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.OriginsDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MergerLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.OriginsDescriptor.decodeText); return $; } }; $root.armnnSerializer.UintVector = class UintVector { static decode(reader, position) { const $ = new $root.armnnSerializer.UintVector(); $.data = reader.typedArray(position, 4, Uint32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.UintVector(); $.data = reader.typedArray(json.data, Uint32Array); return $; } }; $root.armnnSerializer.OriginsDescriptor = class OriginsDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.OriginsDescriptor(); $.concatAxis = reader.uint32_(position, 4, 0); $.numViews = reader.uint32_(position, 6, 0); $.numDimensions = reader.uint32_(position, 8, 0); $.viewOrigins = reader.tableArray(position, 10, $root.armnnSerializer.UintVector.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.OriginsDescriptor(); $.concatAxis = reader.value(json.concatAxis, 0); $.numViews = reader.value(json.numViews, 0); $.numDimensions = reader.value(json.numDimensions, 0); $.viewOrigins = reader.objectArray(json.viewOrigins, $root.armnnSerializer.UintVector.decodeText); return $; } }; $root.armnnSerializer.ViewsDescriptor = class ViewsDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ViewsDescriptor(); $.origins = reader.table(position, 4, $root.armnnSerializer.OriginsDescriptor.decode); $.viewSizes = reader.tableArray(position, 6, $root.armnnSerializer.UintVector.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ViewsDescriptor(); $.origins = reader.object(json.origins, $root.armnnSerializer.OriginsDescriptor.decodeText); $.viewSizes = reader.objectArray(json.viewSizes, $root.armnnSerializer.UintVector.decodeText); return $; } }; $root.armnnSerializer.SplitterLayer = class SplitterLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SplitterLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ViewsDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SplitterLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ViewsDescriptor.decodeText); return $; } }; $root.armnnSerializer.DetectionPostProcessLayer = class DetectionPostProcessLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.DetectionPostProcessLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.DetectionPostProcessDescriptor.decode); $.anchors = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DetectionPostProcessLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.DetectionPostProcessDescriptor.decodeText); $.anchors = reader.object(json.anchors, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.DetectionPostProcessDescriptor = class DetectionPostProcessDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.DetectionPostProcessDescriptor(); $.maxDetections = reader.uint32_(position, 4, 0); $.maxClassesPerDetection = reader.uint32_(position, 6, 0); $.detectionsPerClass = reader.uint32_(position, 8, 0); $.nmsScoreThreshold = reader.float32_(position, 10, 0); $.nmsIouThreshold = reader.float32_(position, 12, 0); $.numClasses = reader.uint32_(position, 14, 0); $.useRegularNms = reader.bool_(position, 16, false); $.scaleX = reader.float32_(position, 18, 0); $.scaleY = reader.float32_(position, 20, 0); $.scaleW = reader.float32_(position, 22, 0); $.scaleH = reader.float32_(position, 24, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DetectionPostProcessDescriptor(); $.maxDetections = reader.value(json.maxDetections, 0); $.maxClassesPerDetection = reader.value(json.maxClassesPerDetection, 0); $.detectionsPerClass = reader.value(json.detectionsPerClass, 0); $.nmsScoreThreshold = reader.value(json.nmsScoreThreshold, 0); $.nmsIouThreshold = reader.value(json.nmsIouThreshold, 0); $.numClasses = reader.value(json.numClasses, 0); $.useRegularNms = reader.value(json.useRegularNms, false); $.scaleX = reader.value(json.scaleX, 0); $.scaleY = reader.value(json.scaleY, 0); $.scaleW = reader.value(json.scaleW, 0); $.scaleH = reader.value(json.scaleH, 0); return $; } }; $root.armnnSerializer.LstmInputParams = class LstmInputParams { static decode(reader, position) { const $ = new $root.armnnSerializer.LstmInputParams(); $.inputToForgetWeights = reader.table(position, 4, $root.armnnSerializer.ConstTensor.decode); $.inputToCellWeights = reader.table(position, 6, $root.armnnSerializer.ConstTensor.decode); $.inputToOutputWeights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.recurrentToForgetWeights = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); $.recurrentToCellWeights = reader.table(position, 12, $root.armnnSerializer.ConstTensor.decode); $.recurrentToOutputWeights = reader.table(position, 14, $root.armnnSerializer.ConstTensor.decode); $.forgetGateBias = reader.table(position, 16, $root.armnnSerializer.ConstTensor.decode); $.cellBias = reader.table(position, 18, $root.armnnSerializer.ConstTensor.decode); $.outputGateBias = reader.table(position, 20, $root.armnnSerializer.ConstTensor.decode); $.inputToInputWeights = reader.table(position, 22, $root.armnnSerializer.ConstTensor.decode); $.recurrentToInputWeights = reader.table(position, 24, $root.armnnSerializer.ConstTensor.decode); $.cellToInputWeights = reader.table(position, 26, $root.armnnSerializer.ConstTensor.decode); $.inputGateBias = reader.table(position, 28, $root.armnnSerializer.ConstTensor.decode); $.projectionWeights = reader.table(position, 30, $root.armnnSerializer.ConstTensor.decode); $.projectionBias = reader.table(position, 32, $root.armnnSerializer.ConstTensor.decode); $.cellToForgetWeights = reader.table(position, 34, $root.armnnSerializer.ConstTensor.decode); $.cellToOutputWeights = reader.table(position, 36, $root.armnnSerializer.ConstTensor.decode); $.inputLayerNormWeights = reader.table(position, 38, $root.armnnSerializer.ConstTensor.decode); $.forgetLayerNormWeights = reader.table(position, 40, $root.armnnSerializer.ConstTensor.decode); $.cellLayerNormWeights = reader.table(position, 42, $root.armnnSerializer.ConstTensor.decode); $.outputLayerNormWeights = reader.table(position, 44, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LstmInputParams(); $.inputToForgetWeights = reader.object(json.inputToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToCellWeights = reader.object(json.inputToCellWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToOutputWeights = reader.object(json.inputToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToForgetWeights = reader.object(json.recurrentToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToCellWeights = reader.object(json.recurrentToCellWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToOutputWeights = reader.object(json.recurrentToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.forgetGateBias = reader.object(json.forgetGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.cellBias = reader.object(json.cellBias, $root.armnnSerializer.ConstTensor.decodeText); $.outputGateBias = reader.object(json.outputGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.inputToInputWeights = reader.object(json.inputToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToInputWeights = reader.object(json.recurrentToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.cellToInputWeights = reader.object(json.cellToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputGateBias = reader.object(json.inputGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.projectionWeights = reader.object(json.projectionWeights, $root.armnnSerializer.ConstTensor.decodeText); $.projectionBias = reader.object(json.projectionBias, $root.armnnSerializer.ConstTensor.decodeText); $.cellToForgetWeights = reader.object(json.cellToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.cellToOutputWeights = reader.object(json.cellToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputLayerNormWeights = reader.object(json.inputLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); $.forgetLayerNormWeights = reader.object(json.forgetLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); $.cellLayerNormWeights = reader.object(json.cellLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); $.outputLayerNormWeights = reader.object(json.outputLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.LstmDescriptor = class LstmDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.LstmDescriptor(); $.activationFunc = reader.uint32_(position, 4, 0); $.clippingThresCell = reader.float32_(position, 6, 0); $.clippingThresProj = reader.float32_(position, 8, 0); $.cifgEnabled = reader.bool_(position, 10, true); $.peepholeEnabled = reader.bool_(position, 12, false); $.projectionEnabled = reader.bool_(position, 14, false); $.layerNormEnabled = reader.bool_(position, 16, false); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LstmDescriptor(); $.activationFunc = reader.value(json.activationFunc, 0); $.clippingThresCell = reader.value(json.clippingThresCell, 0); $.clippingThresProj = reader.value(json.clippingThresProj, 0); $.cifgEnabled = reader.value(json.cifgEnabled, true); $.peepholeEnabled = reader.value(json.peepholeEnabled, false); $.projectionEnabled = reader.value(json.projectionEnabled, false); $.layerNormEnabled = reader.value(json.layerNormEnabled, false); return $; } }; $root.armnnSerializer.LstmLayer = class LstmLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.LstmLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.LstmDescriptor.decode); $.inputParams = reader.table(position, 8, $root.armnnSerializer.LstmInputParams.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.LstmLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.LstmDescriptor.decodeText); $.inputParams = reader.object(json.inputParams, $root.armnnSerializer.LstmInputParams.decodeText); return $; } }; $root.armnnSerializer.QLstmInputParams = class QLstmInputParams { static decode(reader, position) { const $ = new $root.armnnSerializer.QLstmInputParams(); $.inputToForgetWeights = reader.table(position, 4, $root.armnnSerializer.ConstTensor.decode); $.inputToCellWeights = reader.table(position, 6, $root.armnnSerializer.ConstTensor.decode); $.inputToOutputWeights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.recurrentToForgetWeights = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); $.recurrentToCellWeights = reader.table(position, 12, $root.armnnSerializer.ConstTensor.decode); $.recurrentToOutputWeights = reader.table(position, 14, $root.armnnSerializer.ConstTensor.decode); $.forgetGateBias = reader.table(position, 16, $root.armnnSerializer.ConstTensor.decode); $.cellBias = reader.table(position, 18, $root.armnnSerializer.ConstTensor.decode); $.outputGateBias = reader.table(position, 20, $root.armnnSerializer.ConstTensor.decode); $.inputToInputWeights = reader.table(position, 22, $root.armnnSerializer.ConstTensor.decode); $.recurrentToInputWeights = reader.table(position, 24, $root.armnnSerializer.ConstTensor.decode); $.inputGateBias = reader.table(position, 26, $root.armnnSerializer.ConstTensor.decode); $.projectionWeights = reader.table(position, 28, $root.armnnSerializer.ConstTensor.decode); $.projectionBias = reader.table(position, 30, $root.armnnSerializer.ConstTensor.decode); $.cellToInputWeights = reader.table(position, 32, $root.armnnSerializer.ConstTensor.decode); $.cellToForgetWeights = reader.table(position, 34, $root.armnnSerializer.ConstTensor.decode); $.cellToOutputWeights = reader.table(position, 36, $root.armnnSerializer.ConstTensor.decode); $.inputLayerNormWeights = reader.table(position, 38, $root.armnnSerializer.ConstTensor.decode); $.forgetLayerNormWeights = reader.table(position, 40, $root.armnnSerializer.ConstTensor.decode); $.cellLayerNormWeights = reader.table(position, 42, $root.armnnSerializer.ConstTensor.decode); $.outputLayerNormWeights = reader.table(position, 44, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.QLstmInputParams(); $.inputToForgetWeights = reader.object(json.inputToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToCellWeights = reader.object(json.inputToCellWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToOutputWeights = reader.object(json.inputToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToForgetWeights = reader.object(json.recurrentToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToCellWeights = reader.object(json.recurrentToCellWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToOutputWeights = reader.object(json.recurrentToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.forgetGateBias = reader.object(json.forgetGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.cellBias = reader.object(json.cellBias, $root.armnnSerializer.ConstTensor.decodeText); $.outputGateBias = reader.object(json.outputGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.inputToInputWeights = reader.object(json.inputToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToInputWeights = reader.object(json.recurrentToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputGateBias = reader.object(json.inputGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.projectionWeights = reader.object(json.projectionWeights, $root.armnnSerializer.ConstTensor.decodeText); $.projectionBias = reader.object(json.projectionBias, $root.armnnSerializer.ConstTensor.decodeText); $.cellToInputWeights = reader.object(json.cellToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.cellToForgetWeights = reader.object(json.cellToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.cellToOutputWeights = reader.object(json.cellToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputLayerNormWeights = reader.object(json.inputLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); $.forgetLayerNormWeights = reader.object(json.forgetLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); $.cellLayerNormWeights = reader.object(json.cellLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); $.outputLayerNormWeights = reader.object(json.outputLayerNormWeights, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.QLstmDescriptor = class QLstmDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.QLstmDescriptor(); $.cifgEnabled = reader.bool_(position, 4, true); $.peepholeEnabled = reader.bool_(position, 6, false); $.projectionEnabled = reader.bool_(position, 8, false); $.layerNormEnabled = reader.bool_(position, 10, false); $.cellClip = reader.float32_(position, 12, 0); $.projectionClip = reader.float32_(position, 14, 0); $.inputIntermediateScale = reader.float32_(position, 16, 0); $.forgetIntermediateScale = reader.float32_(position, 18, 0); $.cellIntermediateScale = reader.float32_(position, 20, 0); $.outputIntermediateScale = reader.float32_(position, 22, 0); $.hiddenStateZeroPoint = reader.int32_(position, 24, 0); $.hiddenStateScale = reader.float32_(position, 26, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.QLstmDescriptor(); $.cifgEnabled = reader.value(json.cifgEnabled, true); $.peepholeEnabled = reader.value(json.peepholeEnabled, false); $.projectionEnabled = reader.value(json.projectionEnabled, false); $.layerNormEnabled = reader.value(json.layerNormEnabled, false); $.cellClip = reader.value(json.cellClip, 0); $.projectionClip = reader.value(json.projectionClip, 0); $.inputIntermediateScale = reader.value(json.inputIntermediateScale, 0); $.forgetIntermediateScale = reader.value(json.forgetIntermediateScale, 0); $.cellIntermediateScale = reader.value(json.cellIntermediateScale, 0); $.outputIntermediateScale = reader.value(json.outputIntermediateScale, 0); $.hiddenStateZeroPoint = reader.value(json.hiddenStateZeroPoint, 0); $.hiddenStateScale = reader.value(json.hiddenStateScale, 0); return $; } }; $root.armnnSerializer.QLstmLayer = class QLstmLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.QLstmLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.QLstmDescriptor.decode); $.inputParams = reader.table(position, 8, $root.armnnSerializer.QLstmInputParams.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.QLstmLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.QLstmDescriptor.decodeText); $.inputParams = reader.object(json.inputParams, $root.armnnSerializer.QLstmInputParams.decodeText); return $; } }; $root.armnnSerializer.QuantizedLstmInputParams = class QuantizedLstmInputParams { static decode(reader, position) { const $ = new $root.armnnSerializer.QuantizedLstmInputParams(); $.inputToInputWeights = reader.table(position, 4, $root.armnnSerializer.ConstTensor.decode); $.inputToForgetWeights = reader.table(position, 6, $root.armnnSerializer.ConstTensor.decode); $.inputToCellWeights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.inputToOutputWeights = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); $.recurrentToInputWeights = reader.table(position, 12, $root.armnnSerializer.ConstTensor.decode); $.recurrentToForgetWeights = reader.table(position, 14, $root.armnnSerializer.ConstTensor.decode); $.recurrentToCellWeights = reader.table(position, 16, $root.armnnSerializer.ConstTensor.decode); $.recurrentToOutputWeights = reader.table(position, 18, $root.armnnSerializer.ConstTensor.decode); $.inputGateBias = reader.table(position, 20, $root.armnnSerializer.ConstTensor.decode); $.forgetGateBias = reader.table(position, 22, $root.armnnSerializer.ConstTensor.decode); $.cellBias = reader.table(position, 24, $root.armnnSerializer.ConstTensor.decode); $.outputGateBias = reader.table(position, 26, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.QuantizedLstmInputParams(); $.inputToInputWeights = reader.object(json.inputToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToForgetWeights = reader.object(json.inputToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToCellWeights = reader.object(json.inputToCellWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputToOutputWeights = reader.object(json.inputToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToInputWeights = reader.object(json.recurrentToInputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToForgetWeights = reader.object(json.recurrentToForgetWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToCellWeights = reader.object(json.recurrentToCellWeights, $root.armnnSerializer.ConstTensor.decodeText); $.recurrentToOutputWeights = reader.object(json.recurrentToOutputWeights, $root.armnnSerializer.ConstTensor.decodeText); $.inputGateBias = reader.object(json.inputGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.forgetGateBias = reader.object(json.forgetGateBias, $root.armnnSerializer.ConstTensor.decodeText); $.cellBias = reader.object(json.cellBias, $root.armnnSerializer.ConstTensor.decodeText); $.outputGateBias = reader.object(json.outputGateBias, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.QuantizedLstmLayer = class QuantizedLstmLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.QuantizedLstmLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.inputParams = reader.table(position, 6, $root.armnnSerializer.QuantizedLstmInputParams.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.QuantizedLstmLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.inputParams = reader.object(json.inputParams, $root.armnnSerializer.QuantizedLstmInputParams.decodeText); return $; } }; $root.armnnSerializer.DequantizeLayer = class DequantizeLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.DequantizeLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.DequantizeLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.MergeLayer = class MergeLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.MergeLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.MergeLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.SwitchLayer = class SwitchLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.SwitchLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SwitchLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.PreluLayer = class PreluLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.PreluLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.PreluLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.TransposeConvolution2dLayer = class TransposeConvolution2dLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.TransposeConvolution2dLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.TransposeConvolution2dDescriptor.decode); $.weights = reader.table(position, 8, $root.armnnSerializer.ConstTensor.decode); $.biases = reader.table(position, 10, $root.armnnSerializer.ConstTensor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.TransposeConvolution2dLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.TransposeConvolution2dDescriptor.decodeText); $.weights = reader.object(json.weights, $root.armnnSerializer.ConstTensor.decodeText); $.biases = reader.object(json.biases, $root.armnnSerializer.ConstTensor.decodeText); return $; } }; $root.armnnSerializer.TransposeConvolution2dDescriptor = class TransposeConvolution2dDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.TransposeConvolution2dDescriptor(); $.padLeft = reader.uint32_(position, 4, 0); $.padRight = reader.uint32_(position, 6, 0); $.padTop = reader.uint32_(position, 8, 0); $.padBottom = reader.uint32_(position, 10, 0); $.strideX = reader.uint32_(position, 12, 0); $.strideY = reader.uint32_(position, 14, 0); $.biasEnabled = reader.bool_(position, 16, false); $.dataLayout = reader.int8_(position, 18, 1); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.TransposeConvolution2dDescriptor(); $.padLeft = reader.value(json.padLeft, 0); $.padRight = reader.value(json.padRight, 0); $.padTop = reader.value(json.padTop, 0); $.padBottom = reader.value(json.padBottom, 0); $.strideX = reader.value(json.strideX, 0); $.strideY = reader.value(json.strideY, 0); $.biasEnabled = reader.value(json.biasEnabled, false); $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; return $; } }; $root.armnnSerializer.TransposeLayer = class TransposeLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.TransposeLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.TransposeDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.TransposeLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.TransposeDescriptor.decodeText); return $; } }; $root.armnnSerializer.TransposeDescriptor = class TransposeDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.TransposeDescriptor(); $.dimMappings = reader.typedArray(position, 4, Uint32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.TransposeDescriptor(); $.dimMappings = reader.typedArray(json.dimMappings, Uint32Array); return $; } }; $root.armnnSerializer.ResizeLayer = class ResizeLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.ResizeLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.ResizeDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ResizeLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.ResizeDescriptor.decodeText); return $; } }; $root.armnnSerializer.ResizeDescriptor = class ResizeDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.ResizeDescriptor(); $.targetHeight = reader.uint32_(position, 4, 0); $.targetWidth = reader.uint32_(position, 6, 0); $.method = reader.int8_(position, 8, 0); $.dataLayout = reader.int8_(position, 10, 0); $.alignCorners = reader.bool_(position, 12, false); $.halfPixelCenters = reader.bool_(position, 14, false); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.ResizeDescriptor(); $.targetHeight = reader.value(json.targetHeight, 0); $.targetWidth = reader.value(json.targetWidth, 0); $.method = $root.armnnSerializer.ResizeMethod[json.method]; $.dataLayout = $root.armnnSerializer.DataLayout[json.dataLayout]; $.alignCorners = reader.value(json.alignCorners, false); $.halfPixelCenters = reader.value(json.halfPixelCenters, false); return $; } }; $root.armnnSerializer.StackLayer = class StackLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.StackLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.StackDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.StackLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.StackDescriptor.decodeText); return $; } }; $root.armnnSerializer.StackDescriptor = class StackDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.StackDescriptor(); $.axis = reader.uint32_(position, 4, 0); $.numInputs = reader.uint32_(position, 6, 0); $.inputShape = reader.typedArray(position, 8, Uint32Array); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.StackDescriptor(); $.axis = reader.value(json.axis, 0); $.numInputs = reader.value(json.numInputs, 0); $.inputShape = reader.typedArray(json.inputShape, Uint32Array); return $; } }; $root.armnnSerializer.StandInDescriptor = class StandInDescriptor { static decode(reader, position) { const $ = new $root.armnnSerializer.StandInDescriptor(); $.numInputs = reader.uint32_(position, 4, 0); $.numOutputs = reader.uint32_(position, 6, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.StandInDescriptor(); $.numInputs = reader.value(json.numInputs, 0); $.numOutputs = reader.value(json.numOutputs, 0); return $; } }; $root.armnnSerializer.StandInLayer = class StandInLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.StandInLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); $.descriptor = reader.table(position, 6, $root.armnnSerializer.StandInDescriptor.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.StandInLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); $.descriptor = reader.object(json.descriptor, $root.armnnSerializer.StandInDescriptor.decodeText); return $; } }; $root.armnnSerializer.RankLayer = class RankLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.RankLayer(); $.base = reader.table(position, 4, $root.armnnSerializer.LayerBase.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.RankLayer(); $.base = reader.object(json.base, $root.armnnSerializer.LayerBase.decodeText); return $; } }; $root.armnnSerializer.Layer = class { static decode(reader, position, type) { switch (type) { case 1: return $root.armnnSerializer.ActivationLayer.decode(reader, position); case 2: return $root.armnnSerializer.AdditionLayer.decode(reader, position); case 3: return $root.armnnSerializer.BatchToSpaceNdLayer.decode(reader, position); case 4: return $root.armnnSerializer.BatchNormalizationLayer.decode(reader, position); case 5: return $root.armnnSerializer.ConstantLayer.decode(reader, position); case 6: return $root.armnnSerializer.Convolution2dLayer.decode(reader, position); case 7: return $root.armnnSerializer.DepthwiseConvolution2dLayer.decode(reader, position); case 8: return $root.armnnSerializer.FullyConnectedLayer.decode(reader, position); case 9: return $root.armnnSerializer.InputLayer.decode(reader, position); case 10: return $root.armnnSerializer.MultiplicationLayer.decode(reader, position); case 11: return $root.armnnSerializer.OutputLayer.decode(reader, position); case 12: return $root.armnnSerializer.PermuteLayer.decode(reader, position); case 13: return $root.armnnSerializer.Pooling2dLayer.decode(reader, position); case 14: return $root.armnnSerializer.ReshapeLayer.decode(reader, position); case 15: return $root.armnnSerializer.SoftmaxLayer.decode(reader, position); case 16: return $root.armnnSerializer.SpaceToBatchNdLayer.decode(reader, position); case 17: return $root.armnnSerializer.DivisionLayer.decode(reader, position); case 18: return $root.armnnSerializer.MinimumLayer.decode(reader, position); case 19: return $root.armnnSerializer.EqualLayer.decode(reader, position); case 20: return $root.armnnSerializer.MaximumLayer.decode(reader, position); case 21: return $root.armnnSerializer.NormalizationLayer.decode(reader, position); case 22: return $root.armnnSerializer.PadLayer.decode(reader, position); case 23: return $root.armnnSerializer.RsqrtLayer.decode(reader, position); case 24: return $root.armnnSerializer.FloorLayer.decode(reader, position); case 25: return $root.armnnSerializer.GreaterLayer.decode(reader, position); case 26: return $root.armnnSerializer.ResizeBilinearLayer.decode(reader, position); case 27: return $root.armnnSerializer.SubtractionLayer.decode(reader, position); case 28: return $root.armnnSerializer.StridedSliceLayer.decode(reader, position); case 29: return $root.armnnSerializer.GatherLayer.decode(reader, position); case 30: return $root.armnnSerializer.MeanLayer.decode(reader, position); case 31: return $root.armnnSerializer.MergerLayer.decode(reader, position); case 32: return $root.armnnSerializer.L2NormalizationLayer.decode(reader, position); case 33: return $root.armnnSerializer.SplitterLayer.decode(reader, position); case 34: return $root.armnnSerializer.DetectionPostProcessLayer.decode(reader, position); case 35: return $root.armnnSerializer.LstmLayer.decode(reader, position); case 36: return $root.armnnSerializer.QuantizedLstmLayer.decode(reader, position); case 37: return $root.armnnSerializer.QuantizeLayer.decode(reader, position); case 38: return $root.armnnSerializer.DequantizeLayer.decode(reader, position); case 39: return $root.armnnSerializer.MergeLayer.decode(reader, position); case 40: return $root.armnnSerializer.SwitchLayer.decode(reader, position); case 41: return $root.armnnSerializer.ConcatLayer.decode(reader, position); case 42: return $root.armnnSerializer.SpaceToDepthLayer.decode(reader, position); case 43: return $root.armnnSerializer.PreluLayer.decode(reader, position); case 44: return $root.armnnSerializer.TransposeConvolution2dLayer.decode(reader, position); case 45: return $root.armnnSerializer.ResizeLayer.decode(reader, position); case 46: return $root.armnnSerializer.StackLayer.decode(reader, position); case 47: return $root.armnnSerializer.AbsLayer.decode(reader, position); case 48: return $root.armnnSerializer.ArgMinMaxLayer.decode(reader, position); case 49: return $root.armnnSerializer.SliceLayer.decode(reader, position); case 50: return $root.armnnSerializer.DepthToSpaceLayer.decode(reader, position); case 51: return $root.armnnSerializer.InstanceNormalizationLayer.decode(reader, position); case 52: return $root.armnnSerializer.LogSoftmaxLayer.decode(reader, position); case 53: return $root.armnnSerializer.ComparisonLayer.decode(reader, position); case 54: return $root.armnnSerializer.StandInLayer.decode(reader, position); case 55: return $root.armnnSerializer.ElementwiseUnaryLayer.decode(reader, position); case 56: return $root.armnnSerializer.TransposeLayer.decode(reader, position); case 57: return $root.armnnSerializer.QLstmLayer.decode(reader, position); case 58: return $root.armnnSerializer.FillLayer.decode(reader, position); case 59: return $root.armnnSerializer.RankLayer.decode(reader, position); } return undefined; } static decodeText(reader, json, type) { switch (type) { case 'ActivationLayer': return $root.armnnSerializer.ActivationLayer.decodeText(reader, json); case 'AdditionLayer': return $root.armnnSerializer.AdditionLayer.decodeText(reader, json); case 'BatchToSpaceNdLayer': return $root.armnnSerializer.BatchToSpaceNdLayer.decodeText(reader, json); case 'BatchNormalizationLayer': return $root.armnnSerializer.BatchNormalizationLayer.decodeText(reader, json); case 'ConstantLayer': return $root.armnnSerializer.ConstantLayer.decodeText(reader, json); case 'Convolution2dLayer': return $root.armnnSerializer.Convolution2dLayer.decodeText(reader, json); case 'DepthwiseConvolution2dLayer': return $root.armnnSerializer.DepthwiseConvolution2dLayer.decodeText(reader, json); case 'FullyConnectedLayer': return $root.armnnSerializer.FullyConnectedLayer.decodeText(reader, json); case 'InputLayer': return $root.armnnSerializer.InputLayer.decodeText(reader, json); case 'MultiplicationLayer': return $root.armnnSerializer.MultiplicationLayer.decodeText(reader, json); case 'OutputLayer': return $root.armnnSerializer.OutputLayer.decodeText(reader, json); case 'PermuteLayer': return $root.armnnSerializer.PermuteLayer.decodeText(reader, json); case 'Pooling2dLayer': return $root.armnnSerializer.Pooling2dLayer.decodeText(reader, json); case 'ReshapeLayer': return $root.armnnSerializer.ReshapeLayer.decodeText(reader, json); case 'SoftmaxLayer': return $root.armnnSerializer.SoftmaxLayer.decodeText(reader, json); case 'SpaceToBatchNdLayer': return $root.armnnSerializer.SpaceToBatchNdLayer.decodeText(reader, json); case 'DivisionLayer': return $root.armnnSerializer.DivisionLayer.decodeText(reader, json); case 'MinimumLayer': return $root.armnnSerializer.MinimumLayer.decodeText(reader, json); case 'EqualLayer': return $root.armnnSerializer.EqualLayer.decodeText(reader, json); case 'MaximumLayer': return $root.armnnSerializer.MaximumLayer.decodeText(reader, json); case 'NormalizationLayer': return $root.armnnSerializer.NormalizationLayer.decodeText(reader, json); case 'PadLayer': return $root.armnnSerializer.PadLayer.decodeText(reader, json); case 'RsqrtLayer': return $root.armnnSerializer.RsqrtLayer.decodeText(reader, json); case 'FloorLayer': return $root.armnnSerializer.FloorLayer.decodeText(reader, json); case 'GreaterLayer': return $root.armnnSerializer.GreaterLayer.decodeText(reader, json); case 'ResizeBilinearLayer': return $root.armnnSerializer.ResizeBilinearLayer.decodeText(reader, json); case 'SubtractionLayer': return $root.armnnSerializer.SubtractionLayer.decodeText(reader, json); case 'StridedSliceLayer': return $root.armnnSerializer.StridedSliceLayer.decodeText(reader, json); case 'GatherLayer': return $root.armnnSerializer.GatherLayer.decodeText(reader, json); case 'MeanLayer': return $root.armnnSerializer.MeanLayer.decodeText(reader, json); case 'MergerLayer': return $root.armnnSerializer.MergerLayer.decodeText(reader, json); case 'L2NormalizationLayer': return $root.armnnSerializer.L2NormalizationLayer.decodeText(reader, json); case 'SplitterLayer': return $root.armnnSerializer.SplitterLayer.decodeText(reader, json); case 'DetectionPostProcessLayer': return $root.armnnSerializer.DetectionPostProcessLayer.decodeText(reader, json); case 'LstmLayer': return $root.armnnSerializer.LstmLayer.decodeText(reader, json); case 'QuantizedLstmLayer': return $root.armnnSerializer.QuantizedLstmLayer.decodeText(reader, json); case 'QuantizeLayer': return $root.armnnSerializer.QuantizeLayer.decodeText(reader, json); case 'DequantizeLayer': return $root.armnnSerializer.DequantizeLayer.decodeText(reader, json); case 'MergeLayer': return $root.armnnSerializer.MergeLayer.decodeText(reader, json); case 'SwitchLayer': return $root.armnnSerializer.SwitchLayer.decodeText(reader, json); case 'ConcatLayer': return $root.armnnSerializer.ConcatLayer.decodeText(reader, json); case 'SpaceToDepthLayer': return $root.armnnSerializer.SpaceToDepthLayer.decodeText(reader, json); case 'PreluLayer': return $root.armnnSerializer.PreluLayer.decodeText(reader, json); case 'TransposeConvolution2dLayer': return $root.armnnSerializer.TransposeConvolution2dLayer.decodeText(reader, json); case 'ResizeLayer': return $root.armnnSerializer.ResizeLayer.decodeText(reader, json); case 'StackLayer': return $root.armnnSerializer.StackLayer.decodeText(reader, json); case 'AbsLayer': return $root.armnnSerializer.AbsLayer.decodeText(reader, json); case 'ArgMinMaxLayer': return $root.armnnSerializer.ArgMinMaxLayer.decodeText(reader, json); case 'SliceLayer': return $root.armnnSerializer.SliceLayer.decodeText(reader, json); case 'DepthToSpaceLayer': return $root.armnnSerializer.DepthToSpaceLayer.decodeText(reader, json); case 'InstanceNormalizationLayer': return $root.armnnSerializer.InstanceNormalizationLayer.decodeText(reader, json); case 'LogSoftmaxLayer': return $root.armnnSerializer.LogSoftmaxLayer.decodeText(reader, json); case 'ComparisonLayer': return $root.armnnSerializer.ComparisonLayer.decodeText(reader, json); case 'StandInLayer': return $root.armnnSerializer.StandInLayer.decodeText(reader, json); case 'ElementwiseUnaryLayer': return $root.armnnSerializer.ElementwiseUnaryLayer.decodeText(reader, json); case 'TransposeLayer': return $root.armnnSerializer.TransposeLayer.decodeText(reader, json); case 'QLstmLayer': return $root.armnnSerializer.QLstmLayer.decodeText(reader, json); case 'FillLayer': return $root.armnnSerializer.FillLayer.decodeText(reader, json); case 'RankLayer': return $root.armnnSerializer.RankLayer.decodeText(reader, json); } return undefined; } }; $root.armnnSerializer.AnyLayer = class AnyLayer { static decode(reader, position) { const $ = new $root.armnnSerializer.AnyLayer(); $.layer = reader.union(position, 4, $root.armnnSerializer.Layer.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.AnyLayer(); $.layer = $root.armnnSerializer.Layer.decodeText(reader, json.layer, json.layer_type); return $; } }; $root.armnnSerializer.FeatureCompatibilityVersions = class FeatureCompatibilityVersions { static decode(reader, position) { const $ = new $root.armnnSerializer.FeatureCompatibilityVersions(); $.bindingIdsScheme = reader.uint32_(position, 4, 0); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.FeatureCompatibilityVersions(); $.bindingIdsScheme = reader.value(json.bindingIdsScheme, 0); return $; } }; $root.armnnSerializer.SerializedGraph = class SerializedGraph { static identifier(reader) { return reader.identifier === 'ARMN'; } static create(reader) { return $root.armnnSerializer.SerializedGraph.decode(reader, reader.root); } static createText(reader) { return $root.armnnSerializer.SerializedGraph.decodeText(reader, reader.root); } static decode(reader, position) { const $ = new $root.armnnSerializer.SerializedGraph(); $.layers = reader.tableArray(position, 4, $root.armnnSerializer.AnyLayer.decode); $.inputIds = reader.typedArray(position, 6, Int32Array); $.outputIds = reader.typedArray(position, 8, Int32Array); $.featureVersions = reader.table(position, 10, $root.armnnSerializer.FeatureCompatibilityVersions.decode); return $; } static decodeText(reader, json) { const $ = new $root.armnnSerializer.SerializedGraph(); $.layers = reader.objectArray(json.layers, $root.armnnSerializer.AnyLayer.decodeText); $.inputIds = reader.typedArray(json.inputIds, Int32Array); $.outputIds = reader.typedArray(json.outputIds, Int32Array); $.featureVersions = reader.object(json.featureVersions, $root.armnnSerializer.FeatureCompatibilityVersions.decodeText); return $; } };