Please read & provide the following

If you do not know the root cause of the problem, please post according to this template:

## Instructions To Reproduce the Issue:

Check https://stackoverflow.com/help/minimal-reproducible-example for how to ask good questions.
Simplify the steps to reproduce the issue using suggestions from the above link, and provide them below:

1. Full runnable code or full changes you made:
```
If making changes to the project itself, please use output of the following command:
git rev-parse HEAD; git diff

```
2. What exact command you run:
3. __Full logs__ or other relevant observations:
```
Config '/home/ubuntu/feature_extraction/py-bottom-up-attention/configs/VG-Detection/faster_rcnn_R_101_C4_attr_caffemaxpool.yaml' has no VERSION. Assuming it to be compatible with latest v2.
Traceback (most recent call last):
File "vistext_proposal.py", line 84, in
extract(output_fname, dataloader, desc)
File "/home/ubuntu/feature_extraction/detectron2_proposal_maxnms.py", line 164, in extract
detector = build_model()
File "/home/ubuntu/feature_extraction/detectron2_proposal_maxnms.py", line 140, in build_model
cfg.merge_from_file(os.path.join(
File "/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/detectron2/config/config.py", line 54, in merge_from_file
self.merge_from_other_cfg(loaded_cfg)
File "/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/fvcore/common/config.py", line 123, in merge_from_other_cfg
return super().merge_from_other_cfg(cfg_other)
File "/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/yacs/config.py", line 217, in merge_from_other_cfg
_merge_a_into_b(cfg_other, self, self, [])
File "/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/yacs/config.py", line 478, in _merge_a_into_b
_merge_a_into_b(v, b[k], root, key_list + [k])
File "/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/yacs/config.py", line 491, in _merge_a_into_b
raise KeyError("Non-existent config key: {}".format(full_key))
KeyError: 'Non-existent config key: MODEL.CAFFE_MAXPOOL'
```

## Expected behavior:

If there are no obvious crash in "full logs" provided above,
please tell us the expected behavior.

If you expect a model to converge / work better, we do not help with such issues, unless
a model fails to reproduce the results in detectron2 model zoo, or proves existence of bugs.

## Environment:

Paste the output of the following command:
```
2024-04-26 09:20:03 URL:https://raw.githubusercontent.com/facebookresearch/detectron2/main/detectron2/utils/collect_env.py [8920/8920] -> "collect_env.py" [1]
--------------------- ----------------------------------------------------------------------------------------------
sys.platform linux
Python 3.8.19 (default, Mar 20 2024, 19:58:24) [GCC 11.2.0]
numpy 1.24.3
detectron2 0.4 @/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/detectron2
Compiler GCC 11.4
CUDA compiler not available
DETECTRON2_ENV_MODULE
PyTorch 2.3.0 @/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/torch
PyTorch debug build False
GPU available False
Pillow 10.2.0
torchvision 0.18.0 @/home/ubuntu/miniconda3/envs/feature_extractor/lib/python3.8/site-packages/torchvision
fvcore 0.1.3.post20210317
cv2 4.9.0
--------------------- ----------------------------------------------------------------------------------------------
PyTorch built with:
- GCC 9.3
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, 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_NOCUPTI -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 -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.0, USE_CUDA=0, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,
```

If your issue looks like an installation issue / environment issue,
please first check common issues in https://detectron2.readthedocs.io/tutorials/install.html#common-installation-issues

Start by reproducing the KeyError in detectron2_proposal_maxnms.py at build_model(), using the referenced faster_rcnn_R_101_C4_attr_caffemaxpool.yaml configuration and the supplied environment details. Compare the configuration with the detectron2 0.4 model/config support and document whether the failure is an incompatibility or a project bug, with a confirmed expected behavior.

Written by the indexing model from the issue text.