export const torch = {}; torch.jit = torch.jit || {}; torch.jit.mobile = torch.jit.mobile || {}; torch.jit.mobile.serialization = torch.jit.mobile.serialization || {}; torch.jit.mobile.serialization.Int = class Int { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Int(); $.int_val = reader.int64(position + 0); return $; } }; torch.jit.mobile.serialization.Bool = class Bool { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Bool(); $.bool_val = reader.bool(position + 0); return $; } }; torch.jit.mobile.serialization.Double = class Double { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Double(); $.double_val = reader.float64(position + 0); return $; } }; torch.jit.mobile.serialization.PerTensorAffineSchema = class PerTensorAffineSchema { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.PerTensorAffineSchema(); $.q_scale = reader.float64(position + 0); $.q_zero_point = reader.int32(position + 4); return $; } }; torch.jit.mobile.serialization.QuantizedSchema = class QuantizedSchema { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.QuantizedSchema(); $.qscheme = reader.int8_(position, 4, 0); $.scale = reader.float64_(position, 6, 0); $.zero_point = reader.int32_(position, 8, 0); $.scales = reader.table(position, 10, torch.jit.mobile.serialization.TensorMetadata); $.zero_points = reader.table(position, 12, torch.jit.mobile.serialization.TensorMetadata); $.axis = reader.int32_(position, 14, 0); return $; } }; torch.jit.mobile.serialization.TensorMetadata = class TensorMetadata { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.TensorMetadata(); $.storage_location_index = reader.uint32_(position, 4, 0); $.scalar_type = reader.int8_(position, 6, 0); $.storage_offset = reader.int32_(position, 8, 0); $.sizes = reader.array(position, 10, Int32Array); $.strides = reader.array(position, 12, Int32Array); $.requires_grad = reader.bool_(position, 14, false); $.quantized_schema = reader.table(position, 16, torch.jit.mobile.serialization.QuantizedSchema); return $; } }; torch.jit.mobile.serialization.String = class String { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.String(); $.data = reader.string_(position, 4, null); return $; } }; torch.jit.mobile.serialization.Device = class Device { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Device(); $.str = reader.string_(position, 4, null); return $; } }; torch.jit.mobile.serialization.List = class List { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.List(); $.items = reader.array(position, 4, Uint32Array); $.annotation_str = reader.string_(position, 6, null); return $; } }; torch.jit.mobile.serialization.IntList = class IntList { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.IntList(); $.items = reader.int64s_(position, 4); return $; } }; torch.jit.mobile.serialization.DoubleList = class DoubleList { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.DoubleList(); $.items = reader.array(position, 4, Float64Array); return $; } }; torch.jit.mobile.serialization.BoolList = class BoolList { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.BoolList(); $.items = reader.bools_(position, 4); return $; } }; torch.jit.mobile.serialization.Tuple = class Tuple { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Tuple(); $.items = reader.array(position, 4, Uint32Array); return $; } }; torch.jit.mobile.serialization.Dict = class Dict { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Dict(); $.keys = reader.array(position, 4, Uint32Array); $.values = reader.array(position, 6, Uint32Array); $.annotation_str = reader.string_(position, 8, null); return $; } }; torch.jit.mobile.serialization.TypeType = { UNSET: 0, CLASS_WITH_FIELD: 1, CUSTOM_CLASS: 2, CLASS_WITH_SETSTATE: 3, NON_OBJ: 4 }; torch.jit.mobile.serialization.ObjectType = class ObjectType { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.ObjectType(); $.type_name = reader.string_(position, 4, null); $.type = reader.uint8_(position, 6, 0); $.attr_names = reader.strings_(position, 8); return $; } }; torch.jit.mobile.serialization.Object = class Object { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Object(); $.type_index = reader.uint32_(position, 4, 0); $.state = reader.uint32_(position, 6, 0); $.attrs = reader.array(position, 8, Uint32Array); $.setstate_func = reader.uint32_(position, 10, 0); return $; } }; torch.jit.mobile.serialization.ComplexDouble = class ComplexDouble { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.ComplexDouble(); $.real = reader.float64(position + 0); $.imag = reader.float64(position + 4); return $; } }; torch.jit.mobile.serialization.EnumValue = class EnumValue { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.EnumValue(); $.type_name = reader.string_(position, 4, null); $.value = reader.uint32_(position, 6, 0); return $; } }; torch.jit.mobile.serialization.Instruction = class Instruction { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Instruction(); $.op = reader.int8(position + 0); $.n = reader.uint16(position + 2); $.x = reader.int32(position + 4); return $; } }; torch.jit.mobile.serialization.Operator = class Operator { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Operator(); $.name = reader.string_(position, 4, null); $.overload_name = reader.string_(position, 6, null); $.num_args_serialized = reader.int32_(position, 8, -1); return $; } }; torch.jit.mobile.serialization.Arg = class Arg { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Arg(); $.name = reader.string_(position, 4, null); $.type = reader.string_(position, 6, null); $.default_value = reader.uint32_(position, 8, 0); return $; } }; torch.jit.mobile.serialization.Schema = class Schema { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Schema(); $.arguments = reader.tables(position, 4, torch.jit.mobile.serialization.Arg); $.returns = reader.tables(position, 6, torch.jit.mobile.serialization.Arg); return $; } }; torch.jit.mobile.serialization.DebugInfo = class DebugInfo { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.DebugInfo(); $.debug_handle = reader.int64s_(position, 4); return $; } }; torch.jit.mobile.serialization.Function = class Function { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Function(); $.qn = reader.string_(position, 4, null); $.instructions = reader.structs(position, 6, torch.jit.mobile.serialization.Instruction); $.operators = reader.tables(position, 8, torch.jit.mobile.serialization.Operator); $.constants = reader.array(position, 10, Uint32Array); $.type_annotations = reader.strings_(position, 12); $.register_size = reader.int32_(position, 14, 0); $.schema = reader.table(position, 16, torch.jit.mobile.serialization.Schema); $.debug_info = reader.table(position, 18, torch.jit.mobile.serialization.DebugInfo); $.class_type = reader.uint32_(position, 20, 0); return $; } }; torch.jit.mobile.serialization.StorageData = class StorageData { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.StorageData(); $.data = reader.array(position, 4, Uint8Array); return $; } }; torch.jit.mobile.serialization.IValueUnion = class { static decode(reader, position, type) { switch (type) { case 1: return torch.jit.mobile.serialization.Int.decode(reader, position); case 2: return torch.jit.mobile.serialization.Bool.decode(reader, position); case 3: return torch.jit.mobile.serialization.Double.decode(reader, position); case 4: return torch.jit.mobile.serialization.ComplexDouble.decode(reader, position); case 5: return torch.jit.mobile.serialization.TensorMetadata.decode(reader, position); case 6: return torch.jit.mobile.serialization.String.decode(reader, position); case 7: return torch.jit.mobile.serialization.List.decode(reader, position); case 8: return torch.jit.mobile.serialization.Tuple.decode(reader, position); case 9: return torch.jit.mobile.serialization.Dict.decode(reader, position); case 10: return torch.jit.mobile.serialization.Object.decode(reader, position); case 11: return torch.jit.mobile.serialization.IntList.decode(reader, position); case 12: return torch.jit.mobile.serialization.DoubleList.decode(reader, position); case 13: return torch.jit.mobile.serialization.BoolList.decode(reader, position); case 14: return torch.jit.mobile.serialization.Device.decode(reader, position); case 15: return torch.jit.mobile.serialization.EnumValue.decode(reader, position); case 16: return torch.jit.mobile.serialization.Function.decode(reader, position); default: return undefined; } } }; torch.jit.mobile.serialization.IValue = class IValue { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.IValue(); $.val = reader.union(position, 4, torch.jit.mobile.serialization.IValueUnion); return $; } }; torch.jit.mobile.serialization.ExtraFile = class ExtraFile { static decode(reader, position) { const $ = new torch.jit.mobile.serialization.ExtraFile(); $.name = reader.string_(position, 4, null); $.content = reader.string_(position, 6, null); return $; } }; torch.jit.mobile.serialization.Module = class Module { static identifier(reader) { return reader.identifier === 'PTMF'; } static create(reader) { return torch.jit.mobile.serialization.Module.decode(reader, reader.root); } static decode(reader, position) { const $ = new torch.jit.mobile.serialization.Module(); $.bytecode_version = reader.uint32_(position, 4, 0); $.extra_files = reader.tables(position, 6, torch.jit.mobile.serialization.ExtraFile); $.methods = reader.array(position, 8, Uint32Array); $.state_obj = reader.uint32_(position, 10, 0); $.ivalues = reader.tables(position, 12, torch.jit.mobile.serialization.IValue); $.storage_data_size = reader.int32_(position, 14, 0); $.storage_data = reader.tables(position, 16, torch.jit.mobile.serialization.StorageData); $.object_types = reader.tables(position, 18, torch.jit.mobile.serialization.ObjectType); $.jit_sources = reader.tables(position, 20, torch.jit.mobile.serialization.ExtraFile); $.jit_constants = reader.array(position, 22, Uint32Array); $.operator_version = reader.uint32_(position, 24, 0); $.mobile_ivalue_size = reader.uint32_(position, 26, 0); return $; } };