mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 12:54:11 +08:00
e532f62e0d
```
def joint_custom_pass(joint_gm: torch.fx.GraphModule, joint_inputs):
# apply your pass for joint graph here
return joint_gm
class M(torch.nn.Module):
def forward(self, x):
return x.sin()
x = torch.randn(10, requires_grad=False)
compiled_fn = torch.compile(M(), backend="aot_eager")
with torch._functorch.config.patch("joint_custom_pass", joint_custom_pass):
out = compiled_fn(x)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164981
Approved by: https://github.com/ezyang, https://github.com/anijain2305
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
# mypy: allow-untyped-defs
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from typing import Any, TYPE_CHECKING
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"""
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This was semi-automatically generated by running
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stubgen torch.utils._config_module.py
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And then manually extracting the methods of ConfigModule and converting them into top-level functions.
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This file should be imported into any file that uses install_config_module like so:
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if TYPE_CHECKING:
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from torch.utils._config_typing import * # noqa: F401, F403
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from torch.utils._config_module import install_config_module
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# adds patch, save_config, etc
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install_config_module(sys.modules[__name__])
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Note that the import should happen before the call to install_config_module(), otherwise runtime errors may occur.
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"""
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assert TYPE_CHECKING, "Do not use at runtime"
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def save_config() -> bytes: ...
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def save_config_portable(*, ignore_private_configs: bool = True) -> dict[str, Any]: ...
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def codegen_config() -> str: ...
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def get_hash() -> bytes: ...
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def to_dict() -> dict[str, Any]: ...
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def shallow_copy_dict() -> dict[str, Any]: ...
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def load_config(config: bytes | dict[str, Any]) -> None: ...
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def get_config_copy() -> dict[str, Any]: ...
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def get_serializable_config_copy() -> dict[str, Any]: ...
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def patch(arg1: str | dict[str, Any] | None = None, arg2: Any = None, **kwargs): ...
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