// Make string scalar in ONNX from native C# number public static OnnxCSharpToProtoWrapper.TensorProto MakeString(string name, string value) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)OnnxCSharpToProtoWrapper.TensorProto.Types.DataType.String; tensor.StringData.Add(StringToByteString(value)); return(tensor); }
// Make int32 and smaller integer types scalar in ONNX from native C# number public static OnnxCSharpToProtoWrapper.TensorProto MakeDouble(string name, double value) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)OnnxCSharpToProtoWrapper.TensorProto.Types.DataType.Double; tensor.DoubleData.Add(value); return(tensor); }
// Make float scalar in ONNX from native C# number public static OnnxCSharpToProtoWrapper.TensorProto MakeFloat(string name, float value) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)OnnxCSharpToProtoWrapper.TensorProto.Types.DataType.Float; tensor.FloatData.Add(value); return(tensor); }
// Make ulong and uint integer types scalar in ONNX from native C# number public static OnnxCSharpToProtoWrapper.TensorProto MakeUInt(string name, bool isUint64, ulong value) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)ConvertToTensorProtoType(isUint64 ? typeof(ulong) : typeof(uint)); tensor.Uint64Data.Add(value); return(tensor); }
// Make int32 and smaller integer types scalar in ONNX from native C# number public static OnnxCSharpToProtoWrapper.TensorProto MakeInt32(string name, Type type, int value) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)ConvertToTensorProtoType(type); tensor.Int32Data.Add(value); return(tensor); }
// Make long scalar in ONNX from native C# number public static OnnxCSharpToProtoWrapper.TensorProto MakeInt64(string name, long value) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)OnnxCSharpToProtoWrapper.TensorProto.Types.DataType.Int64; tensor.Int64Data.Add(value); return(tensor); }
// Make string vector (i.e., 1-D tensor) with dims=null. Otherwise, dims is used as the shape of the produced tensor. public static OnnxCSharpToProtoWrapper.TensorProto MakeStrings(string name, IEnumerable <string> values, IEnumerable <long> dims = null) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)OnnxCSharpToProtoWrapper.TensorProto.Types.DataType.String; tensor.StringData.AddRange(StringToByteString(values)); if (dims != null) { tensor.Dims.AddRange(dims); } else { tensor.Dims.Add(values.Count()); } return(tensor); }
// Make ulong and uint integer vector (i.e., 1-D tensor) with dims=null. Otherwise, dims is used as the shape of the produced tensor. public static OnnxCSharpToProtoWrapper.TensorProto MakeUInts(string name, bool isUint64, IEnumerable <ulong> values, IEnumerable <long> dims = null) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)ConvertToTensorProtoType(isUint64 ? typeof(ulong) : typeof(uint)); tensor.Uint64Data.AddRange(values); if (dims != null) { tensor.Dims.AddRange(dims); } else { tensor.Dims.Add(values.Count()); } return(tensor); }
// Make int32 and smaller integer types vector (i.e., 1-D tensor) with dims=null. Otherwise, dims is used as the shape of the produced tensor. public static OnnxCSharpToProtoWrapper.TensorProto MakeInt32s(string name, Type type, IEnumerable <int> values, IEnumerable <long> dims = null) { var tensor = new OnnxCSharpToProtoWrapper.TensorProto(); tensor.Name = name; tensor.DataType = (int)ConvertToTensorProtoType(type); tensor.Int32Data.AddRange(values); if (dims != null) { tensor.Dims.AddRange(dims); } else { tensor.Dims.Add(values.Count()); } return(tensor); }