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py39 does not like | E TypeError: unsupported operand type(s) for |: 'type' and 'EnumMeta' #3611

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py39 does not like | E TypeError: unsupported operand type(s) for |: 'type' and 'EnumMeta' #3611

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67e8c68
py39 does not like |
lanluo-nvidia Jun 19, 2025
09f0593
test
lanluo-nvidia Jun 20, 2025
53a8bba
fix lint
lanluo-nvidia Jun 20, 2025
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10 changes: 5 additions & 5 deletions py/torch_tensorrt/_compile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
import logging
import platform
from enum import Enum
from typing import Any, Callable, List, Optional, Sequence, Set
from typing import Any, Callable, List, Optional, Sequence, Set, Union

import torch
import torch.fx
Expand Down Expand Up @@ -170,7 +170,7 @@ def compile(
inputs: Optional[Sequence[Input | torch.Tensor | InputTensorSpec]] = None,
arg_inputs: Optional[Sequence[Sequence[Any]]] = None,
kwarg_inputs: Optional[dict[Any, Any]] = None,
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
**kwargs: Any,
) -> (
torch.nn.Module | torch.jit.ScriptModule | torch.fx.GraphModule | Callable[..., Any]
Expand Down Expand Up @@ -213,7 +213,7 @@ def compile(
"""

input_list = inputs if inputs is not None else []
enabled_precisions_set: Set[dtype | torch.dtype] = (
enabled_precisions_set: Set[Union[torch.dtype, dtype]] = (
enabled_precisions
if enabled_precisions is not None
else _defaults.ENABLED_PRECISIONS
Expand Down Expand Up @@ -308,7 +308,7 @@ def cross_compile_for_windows(
inputs: Optional[Sequence[Input | torch.Tensor]] = None,
arg_inputs: Optional[Sequence[Sequence[Any]]] = None,
kwarg_inputs: Optional[dict[Any, Any]] = None,
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
**kwargs: Any,
) -> None:
"""Compile a PyTorch module using TensorRT in Linux for Inference in Windows
Expand Down Expand Up @@ -424,7 +424,7 @@ def convert_method_to_trt_engine(
arg_inputs: Optional[Sequence[Sequence[Any]]] = None,
kwarg_inputs: Optional[dict[Any, Any]] = None,
ir: str = "default",
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
**kwargs: Any,
) -> bytes:
"""Convert a TorchScript module method to a serialized TensorRT engine
Expand Down
6 changes: 3 additions & 3 deletions py/torch_tensorrt/dynamo/_compiler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -993,9 +993,9 @@ def convert_exported_program_to_serialized_trt_engine(
*,
arg_inputs: Optional[Sequence[Sequence[Any]]] = None,
kwarg_inputs: Optional[dict[Any, Any]] = None,
enabled_precisions: (
Set[torch.dtype | dtype] | Tuple[torch.dtype | dtype]
) = _defaults.ENABLED_PRECISIONS,
enabled_precisions: Union[
Set[Union[torch.dtype, dtype]], Tuple[Union[torch.dtype, dtype]]
] = _defaults.ENABLED_PRECISIONS,
assume_dynamic_shape_support: bool = _defaults.ASSUME_DYNAMIC_SHAPE_SUPPORT,
workspace_size: int = _defaults.WORKSPACE_SIZE,
min_block_size: int = _defaults.MIN_BLOCK_SIZE,
Expand Down
2 changes: 1 addition & 1 deletion py/torch_tensorrt/dynamo/runtime/_MutableTorchTensorRTModule.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,7 +69,7 @@ def __init__(
strict: bool = True,
allow_complex_guards_as_runtime_asserts: bool = False,
weight_streaming_budget: Optional[int] = None,
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
**kwargs: Any,
) -> None:
"""
Expand Down
7 changes: 3 additions & 4 deletions py/torch_tensorrt/ts/_compile_spec.py
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Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
from __future__ import annotations

from copy import deepcopy
from typing import Any, Dict, List, Optional, Set
from typing import Any, Dict, List, Optional, Set, Union

import tensorrt as trt
import torch
import torch_tensorrt._C.ts as _ts_C
from torch_tensorrt import _C
Expand All @@ -13,8 +14,6 @@
from torch_tensorrt.ts._Input import TorchScriptInput
from torch_tensorrt.ts.logging import Level, log

import tensorrt as trt


def _internal_input_to_torch_class_input(i: _C.Input) -> torch.classes.tensorrt._Input:
clone = torch.classes.tensorrt._Input()
Expand Down Expand Up @@ -310,7 +309,7 @@ def TensorRTCompileSpec(
device: Optional[torch.device | Device] = None,
disable_tf32: bool = False,
sparse_weights: bool = False,
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
refit: bool = False,
debug: bool = False,
capability: EngineCapability = EngineCapability.STANDARD,
Expand Down
6 changes: 3 additions & 3 deletions py/torch_tensorrt/ts/_compiler.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
from __future__ import annotations

import warnings
from typing import Any, List, Optional, Sequence, Set, Tuple
from typing import Any, List, Optional, Sequence, Set, Tuple, Union

import torch
import torch_tensorrt._C.ts as _C
Expand All @@ -18,7 +18,7 @@ def compile(
device: Device = Device._current_device(),
disable_tf32: bool = False,
sparse_weights: bool = False,
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
refit: bool = False,
debug: bool = False,
capability: EngineCapability = EngineCapability.STANDARD,
Expand Down Expand Up @@ -172,7 +172,7 @@ def convert_method_to_trt_engine(
device: Device = Device._current_device(),
disable_tf32: bool = False,
sparse_weights: bool = False,
enabled_precisions: Optional[Set[torch.dtype | dtype]] = None,
enabled_precisions: Optional[Set[Union[torch.dtype, dtype]]] = None,
refit: bool = False,
debug: bool = False,
capability: EngineCapability = EngineCapability.STANDARD,
Expand Down
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