`AssertionError: Activation` when compile spconv structure like `BaseBEVBackbone`
Labels: triaged, oncall: pt2

### 🐛 Describe the bug

Error when use `torch._dynamo.optimize` to compile `BaseBEVBackbone` 

### Error logs
```
2023-03-02 03:48:24,834   INFO  **********************Start training cfgs/kitti_models/centerpoint(default)**********************
epochs:   0%|                                                                                                                                                                                                                                            | 0/80 [00:00<?, ?it/s[2023-03-02 03:48:26,471] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward                                                                                                                                               | 0/464 [00:00<?, ?it/s]
[2023-03-02 03:48:26,487] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-03-02 03:48:28,790] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-03-02 03:48:28,915] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing __init__
[2023-03-02 03:48:28,931] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing <graph break in forward>
[2023-03-02 03:48:28,938] torch._dynamo.output_graph: [WARNING] nn.Module hooks are not fully supported, they may be ignored
epochs:   0%|                                                                                                                                                                                                                                            | 0/80 [00:04<?, ?it/s]
Traceback (most recent call last):
  File "tools/train.py", line 247, in <module>
    main()
  File "tools/train.py", line 202, in main
    train_model(
  File "/home/users/chenrui17/baidu/hac-aiacc/AIAK-MODEL/pytorch/centerpoint-kitti/tools/train_utils/train_utils.py", line 182, in train_model
    accumulated_iter = train_one_epoch(
  File "/home/users/chenrui17/baidu/hac-aiacc/AIAK-MODEL/pytorch/centerpoint-kitti/tools/train_utils/train_utils.py", line 55, in train_one_epoch
    loss, tb_dict, disp_dict = model_func(model, batch, scaler)
  File "/home/users/chenrui17/baidu/hac-aiacc/AIAK-MODEL/pytorch/centerpoint-kitti/pcdet/models/__init__.py", line 63, in model_func
    ret_dict, tb_dict, disp_dict = model(batch_dict)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/users/chenrui17/baidu/hac-aiacc/AIAK-MODEL/pytorch/centerpoint-kitti/pcdet/models/detectors/centerpoint.py", line 12, in forward
    batch_dict = cur_module(batch_dict)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 215, in _fn
    return fn(*args, **kwargs)
  File "/home/users/chenrui17/baidu/hac-aiacc/AIAK-MODEL/pytorch/centerpoint-kitti/pcdet/models/backbones_3d/spconv_backbone.py", line 136, in forward
    input_sp_tensor = spconv.SparseConvTensor(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 343, in catch_errors
    return callback(frame, cache_size, hooks)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 404, in _convert_frame
    result = inner_convert(frame, cache_size, hooks)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 104, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 262, in _convert_frame_assert
    return _compile(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 164, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 324, in _compile
    out_code = transform_code_object(code, transform)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/bytecode_transformation.py", line 530, in transform_code_object
    transformations(instructions, code_options)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 311, in transform
    tracer.run()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1862, in run
    super().run()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 619, in run
    and self.step()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 583, in step
    getattr(self, inst.opname)(inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 349, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1014, in CALL_FUNCTION
    self.call_function(fn, args, {})
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 517, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/nn_module.py", line 263, in call_function
    return tx.inline_user_function_return(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 553, in inline_user_function_return
    result = InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1955, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2011, in inline_call_
    tracer.run()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 619, in run
    and self.step()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 583, in step
    getattr(self, inst.opname)(inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 349, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1051, in CALL_FUNCTION_EX
    self.call_function(fn, argsvars.items, kwargsvars.items)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 517, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 292, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 260, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 93, in call_function
    return tx.inline_user_function_return(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 553, in inline_user_function_return
    result = InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1955, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2011, in inline_call_
    tracer.run()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 619, in run
    and self.step()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 583, in step
    getattr(self, inst.opname)(inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 349, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1014, in CALL_FUNCTION
    self.call_function(fn, args, {})
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 517, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/nn_module.py", line 263, in call_function
    return tx.inline_user_function_return(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 553, in inline_user_function_return
    result = InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1955, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2011, in inline_call_
    tracer.run()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 619, in run
    and self.step()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 583, in step
    getattr(self, inst.opname)(inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 349, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1051, in CALL_FUNCTION_EX
    self.call_function(fn, argsvars.items, kwargsvars.items)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 517, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 292, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 260, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 93, in call_function
    return tx.inline_user_function_return(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 553, in inline_user_function_return
    result = InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1955, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2011, in inline_call_
    tracer.run()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 619, in run
    and self.step()
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 583, in step
    getattr(self, inst.opname)(inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 349, in wrapper
    return inner_fn(self, inst)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1063, in CALL_FUNCTION_KW
    self.call_function(fn, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 517, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 292, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 260, in call_function
    return super().call_function(tx, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 93, in call_function
    return tx.inline_user_function_return(
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 553, in inline_user_function_return
    result = InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1955, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1983, in inline_call_
    sub_locals, closure_cells = func.bind_args(parent, args, kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 160, in bind_args
    [
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 161, in <listcomp>
    wrap(val=arg, source=source)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/_dynamo/variables/functions.py", line 60, in wrap_bound_arg
    assert isinstance(val, VariableTracker), typestr(val)
AssertionError: Activation

from user code:
   File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/opt/conda/envs/centerpoint-kitti/lib/python3.8/site-packages/spconv/pytorch/conv.py", line 741, in forward
    return self._conv_forward(self.training, input, self.weight, self.bias, add_input,

Set torch._dynamo.config.verbose=True for more information


You can suppress this exception and fall back to eager by setting:
    torch._dynamo.config.suppress_errors = True

```

### Minified repro

use `TORCHDYNAMO_REPRO_AFTER` debug but no change

### Versions
```
PyTorch version: 2.0.0.dev20230228+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.25.0
Libc version: glibc-2.31

Python version: 3.8.16 | packaged by conda-forge | (default, Feb  1 2023, 16:01:55)  [GCC 11.3.0] (64-bit runtime)
Python platform: Linux-4.14.0_1-0-0-44-x86_64-with-glibc2.10
Is CUDA available: True
CUDA runtime version: 11.7.64
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.4.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Byte Order:                      Little Endian
Address sizes:                   46 bits physical, 48 bits virtual
CPU(s):                          160
On-line CPU(s) list:             0-159
Thread(s) per core:              2
Core(s) per socket:              20
Socket(s):                       4
NUMA node(s):                    4
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           85
Model name:                      Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
Stepping:                        7
Frequency boost:                 enabled
CPU MHz:                         3200.092
CPU max MHz:                     2501.0000
CPU min MHz:                     1000.0000
BogoMIPS:                        5000.00
Virtualization:                  VT-x
L1d cache:                       2.5 MiB
L1i cache:                       2.5 MiB
L2 cache:                        80 MiB
L3 cache:                        110 MiB
NUMA node0 CPU(s):               0-19,80-99
NUMA node1 CPU(s):               20-39,100-119
NUMA node2 CPU(s):               40-59,120-139
NUMA node3 CPU(s):               60-79,140-159
Vulnerability Itlb multihit:     KVM: Vulnerable
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1:        Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
Vulnerability Spectre v2:        Vulnerable, IBPB: disabled, STIBP: disabled
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; TSX disabled
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku avx512_vnni md_clear flush_l1d arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] pytorch-triton==2.0.0+b8b470bc59
[pip3] torch==2.0.0.dev20230228+cu117
[pip3] torchaudio==2.0.0.dev20230228+cu117
[pip3] torchvision==0.15.0.dev20230227+cu117
[conda] numpy                     1.23.5                   pypi_0    pypi
[conda] pytorch-triton            2.0.0+b8b470bc59          pypi_0    pypi
[conda] torch                     2.0.0.dev20230228+cu117          pypi_0    pypi
[conda] torchaudio                2.0.0.dev20230228+cu117          pypi_0    pypi
[conda] torchvision               0.15.0.dev20230227+cu117          pypi_0    pypi
```
cc @ezyang @soumith @msaroufim @wconstab @ngimel @bdhirsh