JitScalarType¶
- class torch.onnx.JitScalarType(value)¶
Scalar types defined in torch.
Use
JitScalarType
to convert from torch and JIT scalar types to ONNX scalar types.Examples
>>> JitScalarType.from_value(torch.ones(1, 2)).onnx_type() TensorProtoDataType.FLOAT
>>> JitScalarType.from_value(torch_c_value_with_type_float).onnx_type() TensorProtoDataType.FLOAT
>>> JitScalarType.from_dtype(torch.get_default_dtype).onnx_type() TensorProtoDataType.FLOAT
- classmethod from_dtype(dtype)[source][source]¶
Convert a torch dtype to JitScalarType.
- Note: DO NOT USE this API when dtype comes from a torch._C.Value.type() calls.
A “RuntimeError: INTERNAL ASSERT FAILED at “../aten/src/ATen/core/jit_type_base.h” can be raised in several scenarios where shape info is not present. Instead use from_value API which is safer.
- Parameters
dtype (torch.dtype | None) – A torch.dtype to create a JitScalarType from
- Returns
JitScalarType
- Raises
OnnxExporterError – if dtype is not a valid torch.dtype or if it is None.
- Return type
- classmethod from_onnx_type(onnx_type)[source][source]¶
Convert a ONNX data type to JitScalarType.
- Parameters
onnx_type (int | _C_onnx.TensorProtoDataType | None) – A torch._C._onnx.TensorProtoDataType to create a JitScalarType from
- Returns
JitScalarType
- Raises
OnnxExporterError – if dtype is not a valid torch.dtype or if it is None.
- Return type
- classmethod from_value(value, default=None)[source][source]¶
Create a JitScalarType from an value’s scalar type.
- Parameters
value (None | torch._C.Value | torch.Tensor) – An object to fetch scalar type from.
default – The JitScalarType to return if a valid scalar cannot be fetched from value
- Returns
JitScalarType.
- Raises
OnnxExporterError – if value does not have a valid scalar type and default is None.
SymbolicValueError – when value.type()’s info are empty and default is None
- Return type
- onnx_compatible()[source][source]¶
Return whether this JitScalarType is compatible with ONNX.
- Return type
- onnx_type()[source][source]¶
Convert a JitScalarType to an ONNX data type.
- Return type
TensorProtoDataType
- scalar_name()[source][source]¶
Convert a JitScalarType to a JIT scalar type name.
- Return type
Literal[‘Byte’, ‘Char’, ‘Double’, ‘Float’, ‘Half’, ‘Int’, ‘Long’, ‘Short’, ‘Bool’, ‘ComplexHalf’, ‘ComplexFloat’, ‘ComplexDouble’, ‘QInt8’, ‘QUInt8’, ‘QInt32’, ‘BFloat16’, ‘Float8E5M2’, ‘Float8E4M3FN’, ‘Float8E5M2FNUZ’, ‘Float8E4M3FNUZ’, ‘Undefined’]
- torch_name()[source][source]¶
Convert a JitScalarType to a torch type name.
- Return type
Literal[‘bool’, ‘uint8_t’, ‘int8_t’, ‘double’, ‘float’, ‘half’, ‘int’, ‘int64_t’, ‘int16_t’, ‘complex32’, ‘complex64’, ‘complex128’, ‘qint8’, ‘quint8’, ‘qint32’, ‘bfloat16’, ‘float8_e5m2’, ‘float8_e4m3fn’, ‘float8_e5m2fnuz’, ‘float8_e4m3fnuz’]