Could not run 'aten::native_batch_norm' with arguments from the 'SparseCUDA' backend.  using batch_norm
Labels: module: sparse, triaged

### 🐛 Describe the bug

Getting error when training below model with sparse data using batch_norm

**Pytorch** version 1.12.1+cu113 .. 

looking at stack trace happens at BatchNorm step .Is there any workaround also to this if its a limitation currently ?

Model
```python
ModelCNN(
  (batch_norm1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (dropout1): Dropout(p=0.1, inplace=False)
  (dense1): Linear(in_features=1024, out_features=2048, bias=True)
  (batch_norm_c1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (dropout_c1): Dropout(p=0.1, inplace=False)
  (conv1): Conv1d(256, 512, kernel_size=(5,), stride=(1,), padding=(2,), bias=False)
  (ave_po_c1): AdaptiveAvgPool1d(output_size=4)
  (batch_norm_c2): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (dropout_c2): Dropout(p=0.1, inplace=False)
  (conv2): Conv1d(512, 512, kernel_size=(3,), stride=(1,), padding=(1,))
  (batch_norm_c2_1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (dropout_c2_1): Dropout(p=0.3, inplace=False)
  (conv2_1): Conv1d(512, 512, kernel_size=(3,), stride=(1,), padding=(1,)) 
  ....

```


Trace

```python
in forward(self, x)
    143         def forward(self, x):
    144 
--> 145             x = self.batch_norm1(x)
    146             x = self.dropout1(x)
    147             x = F.celu(self.dense1(x), alpha=0.06)

[/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py](https://localhost:8080/#) in _call_impl(self, *input, **kwargs)
   1128         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1129                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1130             return forward_call(*input, **kwargs)
   1131         # Do not call functions when jit is used
   1132         full_backward_hooks, non_full_backward_hooks = [], []

[/usr/local/lib/python3.7/dist-packages/torch/nn/modules/batchnorm.py](https://localhost:8080/#) in forward(self, input)
    177             bn_training,
    178             exponential_average_factor,
--> 179             self.eps,
    180         )
    181 

[/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py](https://localhost:8080/#) in batch_norm(input, running_mean, running_var, weight, bias, training, momentum, eps)
   2437 
   2438     return torch.batch_norm(
-> 2439         input, weight, bias, running_mean, running_var, training, momentum, eps, torch.backends.cudnn.enabled
   2440     )
   2441 

NotImplementedError: Could not run 'aten::native_batch_norm' with arguments from the 'SparseCUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::native_batch_norm' is only available for these backends: [Dense, FPGA, VmapMode, UNKNOWN_TENSOR_TYPE_ID, QuantizedXPU, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseCPU, SparseCUDA, SparseHIP, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, SparseXPU, UNKNOWN_TENSOR_TYPE_ID, SparseVE, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, NestedTensorCUDA, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID, UNKNOWN_TENSOR_TYPE_ID].

CPU: registered at aten/src/ATen/RegisterCPU.cpp:37386 [kernel]
CUDA: registered at aten/src/ATen/RegisterCUDA.cpp:51977 [kernel]
MkldnnCPU: registered at aten/src/ATen/RegisterMkldnnCPU.cpp:690 [kernel]
BackendSelect: fallthrough registered at ../aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:133 [backend fallback]
Named: registered at ../aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at ../aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at ../aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at ../aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradCPU: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradCUDA: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradXLA: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradMPS: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradIPU: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradXPU: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradHPU: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradLazy: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradPrivateUse1: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradPrivateUse2: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
AutogradPrivateUse3: registered at ../torch/csrc/autograd/generated/VariableType_1.cpp:12167 [autograd kernel]
Tracer: registered at ../torch/csrc/autograd/generated/TraceType_1.cpp:12753 [kernel]
AutocastCPU: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:481 [backend fallback]
Autocast: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:324 [backend fallback]
Batched: registered at ../aten/src/ATen/BatchingRegistrations.cpp:1064 [backend fallback]
VmapMode: fallthrough registered at ../aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]
Functionalize: registered at ../aten/src/ATen/FunctionalizeFallbackKernel.cpp:89 [backend fallback]
PythonTLSSnapshot: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:137 [backend fallback]

```

### Versions

**Pytorch** version 1.12.1+cu113 .. 

cc @nikitaved @pearu @cpuhrsch @amjames @bhosmer