[Bug Skip]: test_activation_checkpointing_xpu.test_attr_compile_submodules_in_checkpoint_wrapper failed with untimeError( RuntimeError: PyTorch's device state was initialized in the forward pass of a Checkpoint, which is not allowed.

### 🐛 Describe the bug with skip template

#### Observed behavior
RuntimeError: PyTorch's device state was initialized in the forward pass of a Checkpoint, which is not allowed.

The failure is raised from torch/utils/checkpoint.py in _checkpoint_without_reentrant_generator_impl when running:

return checkpoint(self.block, x, use_reentrant=False)

--------
### Skip

Cases:
op_ut,third_party.torch-xpu-ops.test.xpu.dynamo.test_activation_checkpointing_xpu.RematerializeACNodesPassTests,test_attr_compile_submodules_in_checkpoint_wrapper

--------
### Error Information
From traceback:
```
Test call site: test/xpu/dynamo/test_activation_checkpointing_xpu.py:3260
Forward call site: test/xpu/dynamo/test_activation_checkpointing_xpu.py:3242
Runtime error raised at: torch/utils/checkpoint.py:2005
```

failed test case
```
@torch._dynamo.config.patch(skip_fwd_side_effects_in_bwd_under_checkpoint=True)
def test_attr_compile_submodules_in_checkpoint_wrapper(self):
"""Compiling submodules inside a checkpointed block should not hit the
recompile limit due to WeakKeyDictionary guards in the pack_hook."""
from torch.utils.checkpoint import checkpoint

class Block(nn.Module):
def __init__(self, dim):
super().__init__()
self.norm1 = nn.RMSNorm(dim)
self.linear1 = nn.Linear(dim, dim, bias=False)
self.norm2 = nn.RMSNorm(dim)
self.linear2 = nn.Linear(dim, dim, bias=False)
self.norm3 = nn.RMSNorm(dim)
self.linear3 = nn.Linear(dim, dim, bias=False)

def forward(self, x):
x = x + self.linear1(self.norm1(x))
x = x + self.linear2(self.norm2(x))
x = x + self.linear3(self.norm3(x))
return x

class CheckpointedBlock(nn.Module):
def __init__(self, block):
super().__init__()
self.block = block

def forward(self, x):
return checkpoint(self.block, x, use_reentrant=False)

dim = 32
block = Block(dim)

x_ref = torch.randn(4, dim, requires_grad=True)
ref = block(x_ref)
ref.sum().backward()

block_cp = Block(dim)
block_cp.load_state_dict(block.state_dict())
wrapped = CheckpointedBlock(block_cp)

for _, submod in wrapped.block.named_children():
submod.compile(backend="aot_eager")

with torch._dynamo.config.patch(recompile_limit=2):
x_test = x_ref.detach().clone().requires_grad_(True)
result = wrapped(x_test)
result.sum().backward()

self.assertEqual(ref, result)
self.assertEqual(x_ref.grad, x_test.grad)
```

checkpoint.py
```
if forward_context_suppressed_exc:
raise RuntimeError(
"torch.utils.checkpoint: the forward context provided by "
"context_fn suppressed an exception raised during the "
"checkpointed forward. This is not supported because checkpoint "
"cannot return a value for a failed forward."
)
new_frame.forward_completed = True

if getattr(device_module, "_initialized", False) and \
preserve_rng_state and not had_device_in_fwd: # type: ignore[possibly-undefined]
# Device was not initialized before running the forward, so we didn't
# stash the device state.
raise RuntimeError(
"PyTorch's device state was initialized in the forward pass "
"of a Checkpoint, which is not allowed. Please open an issue "
"if you need this feature."
)

return
```

#### Expected behavior
The checkpointed forward pass should not trigger device-state initialization during checkpoint execution, and the test should complete without raising the above RuntimeError.

Reproduction
From the repository root:

PYTORCH_TEST_WITH_SLOW=1 python test/xpu/dynamo/test_activation_checkpointing_xpu.py RematerializeACNodesPassTests.test_attr_compile_submodules_in_checkpoint_wrapper
(Optionally suppress repro hint output in failures with PYTORCH_PRINT_REPRO_ON_FAILURE=0.)

### XPU PR
https://github.com/intel/torch-xpu-ops/pull/4894

### Versions
Version context from report: pytorch main 2.15.0a0
pytorch main 2.15.0a0

Run the named test from test/xpu/dynamo/test_activation_checkpointing_xpu.py:3260 using the reproduction command. Read the checkpoint handling in torch/utils/checkpoint.py around line 2005 and compare the behavior with the linked XPU PR. Done means the checkpointed forward and backward complete without the device-state RuntimeError and the equality assertions pass.

Written by the indexing model from the issue text.