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Usage error #3

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jxxtin opened this issue Aug 22, 2024 · 3 comments
Open

Usage error #3

jxxtin opened this issue Aug 22, 2024 · 3 comments

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@jxxtin
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jxxtin commented Aug 22, 2024

Hello,

I downloaded the pre-trained script using python setup/download_ckpts.py.

when I tried to run the sampling code with the following command:
python -m src.trainer --opts src/models/omages64_DiT/cfgs/pipeline_N2G2M.yaml --gpus 0 --mode 'test'

I got the following error

Could you please provide some guidance on how to resolve this?

/root/anaconda3/envs/omages/lib/python3.9/site-packages/huggingface_hub/file_download.py:1150: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
  warnings.warn(

  File "/root/projects/omages/src/trainer.py", line 87, in __init__
    self.load_callbacks()
  File "/root/projects/omages/src/trainer.py", line 152, in load_callbacks
    callback = cb_class(**cb_kwargs)
  File "/root/projects/omages/src/models/omages64_DiT/pl_N2G2M_pipeline.py", line 61, in __init__
    self.G2M_module = cfg2model(G2M_cfg, G2M_ckpt)
  File "/root/projects/omages/src/models/omages64_DiT/pl_N2G2M_pipeline.py", line 52, in cfg2model
    model.load_state_dict(torch.load(ckpt_path, map_location=model.device)['state_dict'])
  File "/root/anaconda3/envs/omages/lib/python3.9/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Model:
        Missing key(s) in state_dict: "unets.downs.0.1.block1.norm.gamma", "unets.downs.0.1.block2.norm.gamma", "unets.downs.0.2.0.block1.norm.gamma", "unets.downs.0.2.0.block2.norm.gamma", "unets.downs.0.2.1.block1.norm.gamma", "unets.downs.0.2.1.block2.norm.gamma", "unets.downs.0.2.2.block1.norm.gamma", "unets.downs.0.2.2.block2.norm.gamma", "unets.downs.1.1.block1.norm.gamma", "unets.downs.1.1.block2.norm.gamma", "unets.downs.1.2.0.block1.norm.gamma", "unets.downs.1.2.0.block2.norm.gamma", "unets.downs.1.2.1.block1.norm.gamma", "unets.downs.1.2.1.block2.norm.gamma", "unets.downs.1.2.2.block1.norm.gamma", "unets.downs.1.2.2.block2.norm.gamma", "unets.downs.2.1.block1.norm.gamma", "unets.downs.2.1.block2.norm.gamma", "unets.downs.2.2.0.block1.norm.gamma", "unets.downs.2.2.0.block2.norm.gamma", "unets.downs.2.2.1.block1.norm.gamma", "unets.downs.2.2.1.block2.norm.gamma", "unets.downs.2.2.2.block1.norm.gamma", "unets.downs.2.2.2.block2.norm.gamma", "unets.downs.3.1.block1.norm.gamma", "unets.downs.3.1.block2.norm.gamma", "unets.downs.3.2.0.block1.norm.gamma", "unets.downs.3.2.0.block2.norm.gamma", "unets.downs.3.2.1.block1.norm.gamma", "unets.downs.3.2.1.block2.norm.gamma", "unets.downs.3.2.2.block1.norm.gamma", "unets.downs.3.2.2.block2.norm.gamma", "unets.ups.0.0.block1.norm.gamma", "unets.ups.0.0.block2.norm.gamma", "unets.ups.0.1.0.block1.norm.gamma", "unets.ups.0.1.0.block2.norm.gamma", "unets.ups.0.1.1.block1.norm.gamma", "unets.ups.0.1.1.block2.norm.gamma", "unets.ups.0.1.2.block1.norm.gamma", "unets.ups.0.1.2.block2.norm.gamma", "unets.ups.1.0.block1.norm.gamma", "unets.ups.1.0.block2.norm.gamma", "unets.ups.1.1.0.block1.norm.gamma", "unets.ups.1.1.0.block2.norm.gamma", "unets.ups.1.1.1.block1.norm.gamma", "unets.ups.1.1.1.block2.norm.gamma", "unets.ups.1.1.2.block1.norm.gamma", "unets.ups.1.1.2.block2.norm.gamma", "unets.ups.2.0.block1.norm.gamma", "unets.ups.2.0.block2.norm.gamma", "unets.ups.2.1.0.block1.norm.gamma", "unets.ups.2.1.0.block2.norm.gamma", "unets.ups.2.1.1.block1.norm.gamma", "unets.ups.2.1.1.block2.norm.gamma", "unets.ups.2.1.2.block1.norm.gamma", "unets.ups.2.1.2.block2.norm.gamma", "unets.ups.3.0.block1.norm.gamma", "unets.ups.3.0.block2.norm.gamma", "unets.ups.3.1.0.block1.norm.gamma", "unets.ups.3.1.0.block2.norm.gamma", "unets.ups.3.1.1.block1.norm.gamma", "unets.ups.3.1.1.block2.norm.gamma", "unets.ups.3.1.2.block1.norm.gamma", "unets.ups.3.1.2.block2.norm.gamma", "unets.mid_block1.block1.norm.gamma", "unets.mid_block1.block2.norm.gamma", "unets.mid_block2.block1.norm.gamma", "unets.mid_block2.block2.norm.gamma", "unets.final_res_block.block1.norm.gamma", "unets.final_res_block.block2.norm.gamma", "imagen.unets.0.downs.0.1.block1.norm.gamma", "imagen.unets.0.downs.0.1.block2.norm.gamma", "imagen.unets.0.downs.0.2.0.block1.norm.gamma", "imagen.unets.0.downs.0.2.0.block2.norm.gamm
, "imagen.unets.0.downs.0.2.1.block1.norm.gamma", "imagen.unets.0.downs.0.2.1.block2.norm.gamma", "imagen.unets.0.downs.0.2.2.block1.norm.gamma", "imagen.unets.0.downs.0.2.2.block2.norm.gamma", "imagen.unets.0.downs.1.1.block1.norm.gamma", "imagen.unets.0.downs.1.1.block2.norm.gamma", "imagen.unets.0.downs.1.2.0.block1.norm.gamma", "imagen.unets.0.downs.1.2.0.block2.norm.gamma", "imagen.unets.0.downs.1.2.1.block1.norm.gamma", "imagen.unets.0.downs.1.2.1.block2.norm.gamma", "imagen.unets.0.downs.1.2.2.block1.norm.gamma", "imagen.unets.0.downs.1.2.2.block2.norm.gamma", "imagen.unets.0.downs.2.1.block1.norm.gamma", "imagen.unets.0.downs.2.1.block2.norm.gamma", "imagen.unets.0.downs.2.2.0.block1.norm.gamma", "imagen.unets.0.downs.2.2.0.block2.norm.gamma", "imagen.unets.0.downs.2.2.1.block1.norm.gamma", "imagen.unets.0.downs.2.2.1.block2.norm.gamma", "imagen.unets.0.downs.2.2.2.block1.norm.gamma", "imagen.unets.0.downs.2.2.2.block2.norm.gamma", "imagen.unets.0.downs.3.1.block1.norm.gamma", "imagen.unets.0.downs.3.1.block2.norm.gamma", "imagen.unets.0.downs.3.2.0.block1.norm.gamma", "imagen.unets.0.downs.3.2.0.block2.norm.gamma", "imagen.unets.0.downs.3.2.1.block1.norm.gamma", "imagen.unets.0.downs.3.2.1.block2.norm.gamma", "imagen.unets.0.downs.3.2.2.block1.norm.gamma", "imagen.unets.0.downs.3.2.2.block2.norm.gamma", "imagen.unets.0.ups.0.0.block1.norm.gamma", "imagen.unets.0.ups.0.0.block2.norm.gamma", "imagen.unets.0.ups.0.1.0.block1.norm.gamma", "imagen.unets.0.ups.0.1.0.block2.norm.gamma", "imagen.unets.0.ups.0.1.1.block1.norm.gamma", "imagen.unets.0.ups.0.1.1.block2.norm.gamma", "imagen.unets.0.ups.0.1.2.block1.norm.gamma", "imagen.unets.0.ups.0.1.2.block2.norm.gamma", "imagen.unets.0.ups.1.0.block1.norm.gamma", "imagen.unets.0.ups.1.0.block2.norm.gamma", "imagen.unets.0.ups.1.1.0.block1.norm.gamma", "imagen.unets.0.ups.1.1.0.block2.norm.gamma", "imagen.unets.0.ups.1.1.1.block1.norm.gamma", "imagen.unets.0.ups.1.1.1.block2.norm.gamma", "imagen.unets.0.ups.1.1.2.block1.norm.gamma", "imagen.unets.0.ups.1.1.2.block2.norm.gamma", "imagen.unets.0.ups.2.0.block1.norm.gamma", "imagen.unets.0.ups.2.0.block2.norm.gamma", "imagen.unets.0.ups.2.1.0.block1.norm.gamma", "imagen.unets.0.ups.2.1.0.block2.norm.gamma", "imagen.unets.0.ups.2.1.1.block1.norm.gamma", "imagen.unets.0.ups.2.1.1.block2.norm.gamma", "imagen.unets.0.ups.2.1.2.block1.norm.gamma", "imagen.unets.0.ups.2.1.2.block2.norm.gamma", "imagen.unets.0.ups.3.0.block1.norm.gamma", "imagen.unets.0.ups.3.0.block2.norm.gamma", "imagen.unets.0.ups.3.1.0.block1.norm.gamma", "imagen.unets.0.ups.3.1.0.block2.norm.gamma", "imagen.unets.0.ups.3.1.1.block1.norm.gamma", "imagen.unets.0.ups.3.1.1.block2.norm.gamma", "imagen.unets.0.ups.3.1.2.block1.norm.gamma", "imagen.unets.0.ups.3.1.2.block2.norm.gamma", "imagen.unets.0.mid_block1.block1.norm.gamma", "imagen.unets.0.mid_block1.block2.norm.gamma", "imagen.unets.0.mid_block2.block1.norm.gamma", "imagen.unets.0.mid_block2.block2.norm.gamma", "imagen.unets.0.final_res_block.block1.norm.gamma", "imagen.unets.0.final_res_block.block2.norm.gamma", "model.unets.0.downs.0.1.block1.norm.gamma", "model.unets.0.downs.0.1.block2.norm.gamma", "model.unets.0.downs.0.2.0.block1.norm.gamma", "model.unets.0.downs.0.2.0.block2.norm.gamma", "model.unets.0.downs.0.2.1.block1.norm.gamma", "model.unets.0.downs.0.2.1.block2.norm.gamma", "model.unets.0.downs.0.2.2.block1.norm.gamma", "model.unets.0.downs.0.2.2.block2.norm.gamma", "model.unets.0.downs.1.1.block1.norm.gamma", "model.unets.0.downs.1.1.block2.norm.gamma", "model.unets.0.downs.1.2.0.block1.norm.gamma", "model.unets.0.downs.1.2.0.block2.norm.gamma", "model.unets.0.downs.1.2.1.block1.norm.gamma", "model.unets.0.downs.1.2.1.block2.norm.gamma", "model.unets.0.downs.1.2.2.block1.norm.gamma", "model.unets.0.downs.1.2.2.block2.norm.gamma", "model.unets.0.downs.2.1.block1.norm.gamma", "model.unets.0.downs.2.1.block2.norm.gamma", "model.unets.0.downs.2.2.0.block1.norm.gamma", "model.unets.0.downs.2.2.0.block2.norm.gamma", "model.unets.0.downs.2.2.1.block1.norm.gamma", "model.unets.0.downs.2.2.1.block2.no
", "model.unets.0.downs.3.1.block2.norm.gamma", "model.unets.0.downs.3.2.0.block1.norm.gamma", "model.unets.0.downs.3.2.0.block2.norm.gamma", "model.unets.0.downs.3.2.1.block1.norm.gamma", "model.unets.0.downs.3.2.1.block2.norm.gamma", "model.unets.0.downs.3.2.2.block1.norm.gamma", "model.unets.0.downs.3.2.2.block2.norm.gamma", "model.unets.0.ups.0.0.block1.norm.gamma", "model.unets.0.ups.0.0.block2.norm.gamma", "model.unets.0.ups.0.1.0.block1.norm.gamma", "model.unets.0.ups.0.1.0.block2.norm.gamma", "model.unets.0.ups.0.1.1.block1.norm.gamma", "model.unets.0.ups.0.1.1.block2.norm.gamma", "model.unets.0.ups.0.1.2.block1.norm.gamma", "model.unets.0.ups.0.1.2.block2.norm.gamma", "model.unets.0.ups.1.0.block1.norm.gamma", "model.unets.0.ups.1.0.block2.norm.gamma", "model.unets.0.ups.1.1.0.block1.norm.gamma", "model.unets.0.ups.1.1.0.block2.norm.gamma", "model.unets.0.ups.1.1.1.block1.norm.gamma", "model.unets.0.ups.1.1.1.block2.norm.gamma", "model.unets.0.ups.1.1.2.block1.norm.gamma", "model.unets.0.ups.1.1.2.block2.norm.gamma", "model.unets.0.ups.2.0.block1.norm.gamma", "model.unets.0.ups.2.0.block2.norm.gamma", "model.unets.0.ups.2.1.0.block1.norm.gamma", "model.unets.0.ups.2.1.0.block2.norm.gamma", "model.unets.0.ups.2.1.1.block1.norm.gamma", "model.unets.0.ups.2.1.1.block2.norm.gamma", "model.unets.0.ups.2.1.2.block1.norm.gamma", "model.unets.0.ups.2.1.2.block2.norm.gamma", "model.unets.0.ups.3.0.block1.norm.gamma", "model.unets.0.ups.3.0.block2.norm.gamma", "model.unets.0.ups.3.1.0.block1.norm.gamma", "model.unets.0.ups.3.1.0.block2.norm.gamma", "model.unets.0.ups.3.1.1.block1.norm.gamma", "model.unets.0.ups.3.1.1.block2.norm.gamma", "model.unets.0.ups.3.1.2.block1.norm.gamma", "model.unets.0.ups.3.1.2.block2.norm.gamma", "model.unets.0.mid_block1.block1.norm.gamma", "model.unets.0.mid_block1.block2.norm.gamma", "model.unets.0.mid_block2.block1.norm.gamma", "model.unets.0.mid_block2.block2.norm.gamma", "model.unets.0.final_res_block.block1.norm.gamma", "model.unets.0.final_res_block.block2.norm.gamma".
        Unexpected key(s) in state_dict: "unets.downs.0.1.block1.groupnorm.weight", "unets.downs.0.1.block1.groupnorm.bias", "unets.downs.0.1.block2.groupnorm.weight", "unets.downs.0.1.block2.groupnorm.bias", "unets.downs.0.2.0.block1.groupnorm.weight", "unets.downs.0.2.0.block1.groupnorm.bias", "unets.downs.0.2.0.block2.groupnorm.weight", "unets.downs.0.2.0.block2.groupnorm.bias", "unets.downs.0.2.1.block1.groupnorm.weight", "unets.downs.0.2.1.block1.groupnorm.bias", "unets.downs.0.2.1.block2.groupnorm.weight", "unets.downs.0.2.1.block2.groupnorm.bias", "unets.downs.0.2.2.block1.groupnorm.weight", "unets.downs.0.2.2.block1.groupnorm.bias", "unets.downs.0.2.2.block2.groupnorm.weight", "unets.downs.0.2.2.block2.groupnorm.bias", "unets.downs.1.1.block1.groupnorm.weight", "unets.downs.1.1.block1.groupnorm.bias", "unets.downs.1.1.block2.groupnorm.weight", "unets.downs.1.1.block2.groupnorm.bias", "unets.downs.1.2.0.block1.groupnorm.weight", "unets.downs.1.2.0.block1.groupnorm.bias", "unets.downs.1.2.0.block2.groupnorm.weight", "unets.downs.1.2.0.block2.groupnorm.bias", "unets.downs.1.2.1.block1.groupnorm.weight", "unets.downs.1.2.1.block1.groupnorm.bias", "unets.downs.1.2.1.block2.groupnorm.weight", "unets.downs.1.2.1.block2.groupnorm.bias", "unets.downs.1.2.2.block1.groupnorm.weight", "unets.downs.1.2.2.block1.groupnorm.bias", "unets.downs.1.2.2.block2.groupnorm.weight", "unets.downs.1.2.2.block2.groupnorm.bias", "unets.downs.2.1.block1.groupnorm.weight", 
@QhelDIV
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QhelDIV commented Aug 22, 2024

Hi jxxtin,
I retested the script and did not encounter this problem.
I guess the cause of this may be that the ckpt you downloaded is corrupted.
The ckpt file for geo2mat_imagen should have 6.2G

@journey-zhuang
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I meet this problem too, and I download the ckpt again, the problem also exist. My solution is: "model.load_state_dict(torch.load(ckpt_path, map_location=model.device)['state_dict'], False)", I'm not sure if this is a side-effect solution, but it does ignore the problem.

@YuanXun2024
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It may have a side-effect. I met the same problem as @jxxtin when running 'python -m src.trainer --opts src/models/omages64_DiT/cfgs/pipeline_N2G2M.yaml --gpus 0 --mode 'test'' and solve it by "model.load_state_dict(torch.load(ckpt_path, map_location=model.device)['state_dict'], False)". However, after running for a while, the following error occurred.

Read blend: "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/assets/preset_glb.blend"
Recursive unused data blocks cleanup complete.
Time stamp: #1 loading preset blend
0.08713102340698242 0.08713102340698242
position (4096, 3)
occupancy (4096, 1)
color (4096, 3)
metal (4096, 1)
rough (4096, 1)
segmentation (4096, 1)
segcolor (4096, 3)
Time stamp: #2 meshing omage
0.001558542251586914 0.08868956565856934
Time stamp: #3 create mesh in blender
0.0073239803314208984 0.09601354598999023
Failed to visualize index 0
Exception occurred: <class 'TypeError'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 66, in call
for name, processed in process_iter:
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 54, in process_iter
processed = self.data_processor(input_data, input_name=name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data07/efs/efs-huanan-intern/y84399491/omages/src/models/omages64_DiT/pl_N2G2M_pipeline.py", line 84, in G2M_visual
imgs = visualize(data_dict, input_name=input_name, mode='G2M')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data07/efs/efs-huanan-intern/y84399491/omages/src/models/omages64_DiT/pl_N2G2M_pipeline.py", line 130, in visualize
vomg, _, _ = omgutil.preview_omg( gt_omg[0], return_rendered=True, geometry_only=False, omg_keys=omg_keys, combine_vomgs=True, decoder_kwargs=dict(render_mode='segcolor', preset_blend='xgutils/assets/preset_glb.blend'))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/omgutil.py", line 225, in preview_omg
obj, meshing_ret = objamage_decoderv2(omg, geometry_only=geometry_only, **decoder_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/omgutil.py", line 442, in objamage_decoderv2
bpy.ops.object.shade_smooth(use_auto_smooth=True)
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/bpy/4.3/scripts/modules/bpy/ops.py", line 109, in call
ret = _op_call(self.idname_py(), kw)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError('Converting py args to operator properties:: keyword "use_auto_smooth" unrecognized')

12%|################8 | 1/8 [02:19<16:18, 139.74s/it]Failed to visualize index 1
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

Failed to visualize index 2
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

Failed to visualize index 3
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

Failed to visualize index 4
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

Failed to visualize index 5
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

Failed to visualize index 6
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

Failed to visualize index 7
Exception occurred: <class 'StopIteration'>
File "/data07/efs/efs-huanan-intern/y84399491/omages/xgutils/plutil.py", line 431, in process
item = next(pipeline)
^^^^^^^^^^^^^^
StopIteration()

100%|########################################################################################################################################| 8/8 [02:19<00:00, 17.47s/it]
Traceback (most recent call last):
File "", line 198, in _run_module_as_main
File "", line 88, in _run_code
File "/data07/efs/efs-huanan-intern/y84399491/omages/src/trainer.py", line 386, in
func()
File "/data07/efs/efs-huanan-intern/y84399491/omages/src/trainer.py", line 279, in test
self.trainer.test(
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 754, in test
return call._call_and_handle_interrupt(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 43, in _call_and_handle_interrupt
return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/strategies/launchers/subprocess_script.py", line 105, in launch
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 794, in _test_impl
results = self._run(model, ckpt_path=ckpt_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 987, in _run
results = self._run_stage()
^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1026, in _run_stage
return self._evaluation_loop.run()
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/loops/utilities.py", line 182, in _decorator
return loop_run(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 114, in run
self.on_run_start()
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 244, in on_run_start
self._on_evaluation_start()
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 289, in _on_evaluation_start
call._call_callback_hooks(trainer, hook_name, *args, **kwargs)
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 208, in _call_callback_hooks
fn(trainer, trainer.lightning_module, *args, **kwargs)
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/callbacks/progress/rich_progress.py", line 376, in on_test_start
self._init_progress(trainer)
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/lightning/pytorch/callbacks/progress/rich_progress.py", line 342, in _init_progress
reconfigure(**self._console_kwargs)
File "/data06/y84399491/miniconda3/envs/dlt/lib/python3.11/site-packages/rich/init.py", line 42, in reconfigure
_console.dict = new_console.dict
^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'dict'

Could you please look into it @QhelDIV? Thank you.

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