If i ran compile example using pytorch 2.1.0, got an error

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Describe the bug I ran the below command for torch.compile test in pytorch 2.1.0. but got an error. This worked fine in pytorch 2.0.1.

Reproduction

What command or script did you run?

python tools/train.py configs/rtmdet/rtmdet_s_8xb32-300e_coco.py  --cfg-options compile=True

Reference: https://github.com/open-mmlab/mmdetection/blob/main/docs/en/notes/faq.md

Did you make any modifications on the code or config? Did you understand what you have modified? Answer: NO
What dataset did you use? Answer: COCO2017

Environment

sys.platform: linux
Python: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]
CUDA available: True
numpy_random_seed: 2147483648
GPU 0: Tesla V100-SXM3-32GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.1, V12.1.105
GCC: x86_64-linux-gnu-gcc (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0
PyTorch: 2.1.0+cu121
PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX512
  - CUDA Runtime 12.1
  - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
  - CuDNN 8.9.2
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.16.0+cu121
OpenCV: 4.8.1
MMEngine: 0.9.1
MMDetection: 3.2.0+fe3f809

Error traceback If applicable, paste the error trackback here.

11/10 05:59:48 - mmengine - INFO - load backbone. in model from: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-tiny_imagenet_600e.pth
Loads checkpoint by http backend from path: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-tiny_imagenet_600e.pth
11/10 05:59:53 - mmengine - INFO - Model has been "compiled". The first few iterations will be slow, please be patient.
11/10 05:59:53 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io
11/10 05:59:53 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future.
11/10 05:59:53 - mmengine - INFO - Checkpoints will be saved to /new_mmdet/work_dirs/rtmdet_tiny_8xb32-300e_coco.
Traceback (most recent call last):
  File "/new_mmdet/train.py", line 122, in <module>
    main()
  File "/new_mmdet/train.py", line 118, in main
    runner.train()
  File "/usr/local/lib/python3.10/dist-packages/mmengine/runner/runner.py", line 1777, in train
    model = self.train_loop.run()  # type: ignore
  File "/usr/local/lib/python3.10/dist-packages/mmengine/runner/loops.py", line 96, in run
    self.run_epoch()
  File "/usr/local/lib/python3.10/dist-packages/mmengine/runner/loops.py", line 112, in run_epoch
    self.run_iter(idx, data_batch)
  File "/usr/local/lib/python3.10/dist-packages/mmengine/runner/loops.py", line 128, in run_iter
    outputs = self.runner.model.train_step(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/eval_frame.py", line 328, in _fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/mmengine/model/base_model/base_model.py", line 112, in train_step
    with optim_wrapper.optim_context(self):
  File "/usr/local/lib/python3.10/dist-packages/mmengine/model/base_model/base_model.py", line 113, in <resume in train_step>
    data = self.data_preprocessor(data, True)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/mmdet/models/data_preprocessors/data_preprocessor.py", line 121, in forward
    batch_pad_shape = self._get_pad_shape(data)
  File "/usr/local/lib/python3.10/dist-packages/mmdet/models/data_preprocessors/data_preprocessor.py", line 122, in <resume in forward>
    data = super().forward(data=data, training=training)
  File "/usr/local/lib/python3.10/dist-packages/mmengine/model/base_model/data_preprocessor.py", line 246, in forward
    data = self.cast_data(data)  # type: ignore
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/eval_frame.py", line 490, in catch_errors
    return callback(frame, cache_entry, hooks, frame_state)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 641, in _convert_frame
    result = inner_convert(frame, cache_size, hooks, frame_state)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 133, in _fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 389, in _convert_frame_assert
    return _compile(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 569, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 189, in time_wrapper
    r = func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 491, in compile_inner
    out_code = transform_code_object(code, transform)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/bytecode_transformation.py", line 1028, in transform_code_object
    transformations(instructions, code_options)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 458, in transform
    tracer.run()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 2074, in run
    super().run()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 724, in run
    and self.step()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 688, in step
    getattr(self, inst.opname)(inst)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 392, in wrapper
    return inner_fn(self, inst)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 1115, in CALL_FUNCTION
    self.call_function(fn, args, {})
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 562, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/variables/functions.py", line 261, in call_function
    return super().call_function(tx, args, kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/variables/functions.py", line 90, in call_function
    return tx.inline_user_function_return(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 598, in inline_user_function_return
    result = InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 2179, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 2286, in inline_call_
    tracer.run()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 724, in run
    and self.step()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 688, in step
    getattr(self, inst.opname)(inst)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 279, in inner
    example_value=get_fake_value(scalar_to_tensor_proxy.node, self),
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 1376, in get_fake_value
    raise TorchRuntimeError(str(e)).with_traceback(e.__traceback__) from None
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 1337, in get_fake_value
    return wrap_fake_exception(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 916, in wrap_fake_exception
    return fn()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 1338, in <lambda>
    lambda: run_node(tx.output, node, args, kwargs, nnmodule)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 1410, in run_node
    raise RuntimeError(fn_str + str(e)).with_traceback(e.__traceback__) from e
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 1397, in run_node
    return node.target(*args, **kwargs)
torch._dynamo.exc.TorchRuntimeError: Failed running call_function <built-in method scalar_tensor of type object at 0x7f4786581d80>(*([FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640)), FakeTensor(..., device='cuda:0', size=(3, 640, 640))],), **{}):
scalar_tensor(): argument 's' (position 1) must be Number, not immutable_list

from user code:
   File "/usr/local/lib/python3.10/dist-packages/mmengine/model/base_model/data_preprocessor.py", line 269, in <resume in forward>
    batch_inputs = stack_batch(batch_inputs, self.pad_size_divisor,
  File "/usr/local/lib/python3.10/dist-packages/mmengine/model/utils.py", line 36, in stack_batch
    assert tensor_list, '`tensor_list` could not be an empty list'

Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information

You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True

Bug fix If you have already identified the reason, you can provide the information here. If you are willing to create a PR to fix it, please also leave a comment here and that would be much appreciated!

open-mmlab / mmdetection

If i ran compile example using pytorch 2.1.0, got an error #11154