DEBUG:rasterio._io:IO window xoff=8126.0 yoff=11385.0 width=512.0 height=512.0
DEBUG:rasterio.env:Exiting env context: <rasterio.env.Env object at 0x3121bfeb0>
DEBUG:rasterio.env:Cleared existing <rasterio._env.GDALEnv object at 0x3121bfb20> options
DEBUG:rasterio._env:Stopped GDALEnv <rasterio._env.GDALEnv object at 0x3121bfb20>.
DEBUG:rasterio.env:Exiting outermost env
DEBUG:rasterio.env:Exited env context: <rasterio.env.Env object at 0x3121bfeb0>
[DEBUG] Channel 0 shape: (512, 512)
[DEBUG] Channel 1 shape: (512, 512)
(225.0, 263.0, 0.0) [<class 'float'>, <class 'float'>, <class 'float'>]
(231.0, 266.0, 0.0) [<class 'float'>, <class 'float'>, <class 'float'>]
Error executing job with overrides: ['+config=configs/multilabel_circle_net.yaml']
Traceback (most recent call last):
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel.py", line 528, in <module>
    main()
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/main.py", line 94, in decorated_main
    _run_hydra(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
    _run_app(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 457, in _run_app
    run_and_report(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
    raise ex
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
    return func()
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
    lambda: hydra.run(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/hydra.py", line 132, in run
    _ = ret.return_value
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/core/utils.py", line 260, in return_value
    raise self._return_value
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/core/utils.py", line 186, in run_job
    ret.return_value = task_function(task_cfg)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel.py", line 524, in main
    CenternetPipeline(cfg).train()
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel.py", line 415, in train
    model = self.build_model(config, self.loaders)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel.py", line 206, in build_model
    model = nas.search(config.nas.num_iterations, loaders['train'], loaders['valid'])
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/nas.py", line 36, in search
    scores = [self.evaluate_model(model, train_loader, val_loader) for model in population]
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/nas.py", line 36, in <listcomp>
    scores = [self.evaluate_model(model, train_loader, val_loader) for model in population]
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/nas.py", line 112, in evaluate_model
    outputs = model(inputs)
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/centernet/models/centernet_unet.py", line 171, in forward
    decoded_features = self.decoder(feature_maps)
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/centernet/models/custom_encoder.py", line 59, in forward
    x = decoder_block(torch.cat([x, encoder_feature], dim=1))
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 16 but got size 32 for tensor number 1 in the list.
(sam3) samerkharboush@Samers-MBP SAR-MPS-OptunaNasFbnYoloTransformers %