Error while exporting Detectron2 model to Onnx model

I am trying to export my detectron2 model to onnx model but I am getting a KeyError: 'Non-existent config key: DATASETS.VAL'

Command I run:
```
python detectron2/tools/deploy/export_model.py --config-file output.yaml --output model.onnx --format onnx --sample-image /home/aakash/Aakash Workings/HB_Codes/detectron2_working/XYZ/val/images/0e3561a5-am_c1_20231004-094138.jpeg --export-method caffe2_tracing MODEL.DEVICE cuda MODEL.WEIGHTS /home/aakash/Aakash Workings/HB_Codes/detectron2_working/output/model_final.pth`
```

Error Traceback:
```
(detectron_env) aakash@Goyal:~/Aakash Workings/HB_Codes/detectron2_working$ python detectron2/tools/deploy/export_model.py --config-file output.yaml --output model
--format onnx --sample-image /home/aakash/Aakash Workings/HB_Codes/detectron2_working/d2_seal_control_ob_l/val/images/0e3561a5-am_c1_20231004-094138.jpeg --export-m
ethod caffe2_tracing MODEL.DEVICE cuda MODEL.WEIGHTS /home/aakash/Aakash Workings/HB_Codes/detectron2_working/output/model_final.pth
[02/08 22:51:33 detectron2]: Command line arguments: Namespace(format='onnx', export_method='tracing', config_file='output.yaml', sample_image='/home/aakash/Aakash', run_eval=False, output='model', opts=['Workings/HB_Codes/detectron2_working/d2_seal_control_ob_l/val/images/0e3561a5-am_c1_20231004-094138.jpeg', '--export-method', 'caffe2_tracing', 'MODEL.DEVICE', 'cuda', 'MODEL.WEIGHTS', '/home/aakash/Aakash', 'Workings/HB_Codes/detectron2_working/output/model_final.pth'])
[W init.cpp:855] Warning: Use _jit_set_fusion_strategy, bailout depth is deprecated. Setting to (STATIC, 1) (function operator())
Traceback (most recent call last):
File "/home/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron2/tools/deploy/export_model.py", line 210, in
cfg = setup_cfg(args)
File "/home/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron2/tools/deploy/export_model.py", line 34, in setup_cfg
cfg.merge_from_file(args.config_file)
File "/home/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron2/detectron2/config/config.py", line 69, in merge_from_file
self.merge_from_other_cfg(loaded_cfg)
File "/home/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron_env/lib/python3.10/site-packages/fvcore/common/config.py", line 132, in merge_from_other_cfg
return super().merge_from_other_cfg(cfg_other)
File "/home/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron_env/lib/python3.10/site-packages/yacs/config.py", line 217, in merge_from_other_cfg
_merge_a_into_b(cfg_other, self, self, [])
File "/home/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron_env/lib/python3.10/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/aakash/Aakash Workings/HB_Codes/detectron2_working/detectron_env/lib/python3.10/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: DATASETS.VAL'
```
config.yaml
```
CUDNN_BENCHMARK: false
DATALOADER:
ASPECT_RATIO_GROUPING: true
FILTER_EMPTY_ANNOTATIONS: true
NUM_WORKERS: 2
REPEAT_THRESHOLD: 0.0
SAMPLER_TRAIN: TrainingSampler
DATASETS:
PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
PROPOSAL_FILES_TEST: []
PROPOSAL_FILES_TRAIN: []
TEST: []
TRAIN:
- train
VAL:
- val
GLOBAL:
HACK: 1.0
INPUT:
CROP:
ENABLED: false
SIZE:
- 0.9
- 0.9
TYPE: relative_range
FORMAT: BGR
MASK_FORMAT: polygon
MAX_SIZE_TEST: 1333
MAX_SIZE_TRAIN: 1333
MIN_SIZE_TEST: 800
MIN_SIZE_TRAIN:
- 640
- 672
- 704
- 736
- 768
- 800
MIN_SIZE_TRAIN_SAMPLING: choice
RANDOM_FLIP: horizontal
MODEL:
ANCHOR_GENERATOR:
ANGLES:
- - -90
- 0
- 90
ASPECT_RATIOS:
- - 0.5
- 1.0
- 2.0
NAME: DefaultAnchorGenerator
OFFSET: 0.0
SIZES:
- - 32
- - 64
- - 128
- - 256
- - 512
BACKBONE:
FREEZE_AT: 2
NAME: build_resnet_fpn_backbone
DEVICE: cuda
FPN:
FUSE_TYPE: sum
IN_FEATURES:
- res2
- res3
- res4
- res5
NORM: ''
OUT_CHANNELS: 256
KEYPOINT_ON: false
LOAD_PROPOSALS: false
MASK_ON: false
META_ARCHITECTURE: GeneralizedRCNN
PANOPTIC_FPN:
COMBINE:
ENABLED: true
INSTANCES_CONFIDENCE_THRESH: 0.5
OVERLAP_THRESH: 0.5
STUFF_AREA_LIMIT: 4096
INSTANCE_LOSS_WEIGHT: 1.0
PIXEL_MEAN:
- 103.53
- 116.28
- 123.675
PIXEL_STD:
- 1.0
- 1.0
- 1.0
PROPOSAL_GENERATOR:
MIN_SIZE: 0
NAME: RPN
RESNETS:
DEFORM_MODULATED: false
DEFORM_NUM_GROUPS: 1
DEFORM_ON_PER_STAGE:
- false
- false
- false
- false
DEPTH: 101
NORM: FrozenBN
NUM_GROUPS: 1
OUT_FEATURES:
- res2
- res3
- res4
- res5
RES2_OUT_CHANNELS: 256
RES5_DILATION: 1
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: true
WIDTH_PER_GROUP: 64
RETINANET:
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_WEIGHTS: &id002
- 1.0
- 1.0
- 1.0
- 1.0
FOCAL_LOSS_ALPHA: 0.25
FOCAL_LOSS_GAMMA: 2.0
IN_FEATURES:
- p3
- p4
- p5
- p6
- p7
IOU_LABELS:
- 0
- -1
- 1
IOU_THRESHOLDS:
- 0.4
- 0.5
NMS_THRESH_TEST: 0.5
NORM: ''
NUM_CLASSES: 80
NUM_CONVS: 4
PRIOR_PROB: 0.01
SCORE_THRESH_TEST: 0.05
SMOOTH_L1_LOSS_BETA: 0.1
TOPK_CANDIDATES_TEST: 1000
ROI_BOX_CASCADE_HEAD:
BBOX_REG_WEIGHTS:
- &id001
- 10.0
- 10.0
- 5.0
- 5.0
- - 20.0
- 20.0
- 10.0
- 10.0
- - 30.0
- 30.0
- 15.0
- 15.0
IOUS:
- 0.5
- 0.6
- 0.7
ROI_BOX_HEAD:
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_LOSS_WEIGHT: 1.0
BBOX_REG_WEIGHTS: *id001
CLS_AGNOSTIC_BBOX_REG: false
CONV_DIM: 256
FC_DIM: 1024
FED_LOSS_FREQ_WEIGHT_POWER: 0.5
FED_LOSS_NUM_CLASSES: 50
NAME: FastRCNNConvFCHead
NORM: ''
NUM_CONV: 0
NUM_FC: 2
POOLER_RESOLUTION: 7
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
SMOOTH_L1_BETA: 0.0
TRAIN_ON_PRED_BOXES: false
USE_FED_LOSS: false
USE_SIGMOID_CE: false
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 128
IN_FEATURES:
- p2
- p3
- p4
- p5
IOU_LABELS:
- 0
- 1
IOU_THRESHOLDS:
- 0.5
NAME: StandardROIHeads
NMS_THRESH_TEST: 0.5
NUM_CLASSES: 7
POSITIVE_FRACTION: 0.25
PROPOSAL_APPEND_GT: true
SCORE_THRESH_TEST: 0.05
ROI_KEYPOINT_HEAD:
CONV_DIMS:
- 512
- 512
- 512
- 512
- 512
- 512
- 512
- 512
LOSS_WEIGHT: 1.0
MIN_KEYPOINTS_PER_IMAGE: 1
NAME: KRCNNConvDeconvUpsampleHead
NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
NUM_KEYPOINTS: 17
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
ROI_MASK_HEAD:
CLS_AGNOSTIC_MASK: false
CONV_DIM: 256
NAME: MaskRCNNConvUpsampleHead
NORM: ''
NUM_CONV: 4
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_TYPE: ROIAlignV2
RPN:
BATCH_SIZE_PER_IMAGE: 256
BBOX_REG_LOSS_TYPE: smooth_l1
BBOX_REG_LOSS_WEIGHT: 1.0
BBOX_REG_WEIGHTS: *id002
BOUNDARY_THRESH: -1
CONV_DIMS:
- -1
HEAD_NAME: StandardRPNHead
IN_FEATURES:
- p2
- p3
- p4
- p5
- p6
IOU_LABELS:
- 0
- -1
- 1
IOU_THRESHOLDS:
- 0.3
- 0.7
LOSS_WEIGHT: 1.0
NMS_THRESH: 0.7
POSITIVE_FRACTION: 0.5
POST_NMS_TOPK_TEST: 1000
POST_NMS_TOPK_TRAIN: 1000
PRE_NMS_TOPK_TEST: 1000
PRE_NMS_TOPK_TRAIN: 2000
SMOOTH_L1_BETA: 0.0
SEM_SEG_HEAD:
COMMON_STRIDE: 4
CONVS_DIM: 128
IGNORE_VALUE: 255
IN_FEATURES:
- p2
- p3
- p4
- p5
LOSS_WEIGHT: 1.0
NAME: SemSegFPNHead
NORM: GN
NUM_CLASSES: 54
WEIGHTS: https://dl.fbaipublicfiles.com/detectron2/COCO-Detection/faster_rcnn_R_101_FPN_3x/137851257/model_final_f6e8b1.pkl
OUTPUT_DIR: ./output
SEED: -1
SOLVER:
AMP:
ENABLED: false
BASE_LR: 0.00025
BASE_LR_END: 0.0
BIAS_LR_FACTOR: 1.0
CHECKPOINT_PERIOD: 50
CLIP_GRADIENTS:
CLIP_TYPE: value
CLIP_VALUE: 1.0
ENABLED: false
NORM_TYPE: 2.0
GAMMA: 0.1
IMS_PER_BATCH: 4
LR_SCHEDULER_NAME: WarmupMultiStepLR
MAX_ITER: 100
MOMENTUM: 0.9
NESTEROV: false
NUM_DECAYS: 3
REFERENCE_WORLD_SIZE: 0
RESCALE_INTERVAL: false
STEPS: []
WARMUP_FACTOR: 0.001
WARMUP_ITERS: 1000
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.0001
WEIGHT_DECAY_BIAS: null
WEIGHT_DECAY_NORM: 0.0
TEST:
AUG:
ENABLED: false
FLIP: true
MAX_SIZE: 4000
MIN_SIZES:
- 400
- 500
- 600
- 700
- 800
- 900
- 1000
- 1100
- 1200
DETECTIONS_PER_IMAGE: 100
EVAL_PERIOD: 0
EXPECTED_RESULTS: []
KEYPOINT_OKS_SIGMAS: []
PRECISE_BN:
ENABLED: false
NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0

```
In the config.yaml file, I can see that "val" is there still I am getting this issue. What am I doing wrong?

"Instructions To Reproduce the Issue and Full Logs":
config.yaml file is provided and It can be run using the above command.

Environment:
It is environemnt is setup using https://detectron2.readthedocs.io/en/latest/tutorials/install.html