// 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);
}
