i have tried to both Python 3.8.15 and python 3.6.9
src/eval_segmentation.py:57: UserWarning:
The version_base parameter is not specified.
Please specify a compatability version level, or None.
Will assume defaults for version 1.1
@hydra.main(config_path="configs", config_name="eval_config.yml")
/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/plugins/config_source.py:126: UserWarning: Support for .yml files is deprecated. Use .yaml extension for Hydra config files
"Support for .yml files is deprecated. Use .yaml extension for Hydra config files"
/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/hydra.py:127: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default.
See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information.
configure_logging=with_log_configuration,
/usr/local/envs/stego3/lib/python3.6/site-packages/torchmetrics/utilities/prints.py:36: UserWarning: Torchmetrics v0.9 introduced a new argument class property called full_state_update that has
not been set for this class (UnsupervisedMetrics). The property determines if update by
default needs access to the full metric state. If this is not the case, significant speedups can be
achieved and we recommend setting this to False.
We provide an checking function
from torchmetrics.utilities import check_forward_full_state_property
that can be used to check if the full_state_update=True (old and potential slower behaviour,
default for now) or if full_state_update=False can be used safely.
warnings.warn(*args, kwargs)
Error executing job with overrides: []
Traceback (most recent call last):
File "src/eval_segmentation.py", line 219, in
my_app()
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/main.py", line 99, in decorated_main
config_name=config_name,
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 401, in _run_hydra
overrides=overrides,
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 458, in _run_app
lambda: hydra.run(
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 461, in
overrides=overrides,
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/internal/hydra.py", line 132, in run
= ret.return_value
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
File "src/eval_segmentation.py", line 72, in my_app
picie_state = torch.load("/content/drive/MyDrive/saved_models/picie_and_probes.pth")
File "/usr/local/envs/stego3/lib/python3.6/site-packages/torch/serialization.py", line 594, in load
return _load(opened_zipfile, map_location, pickle_module, pickle_load_args)
File "/usr/local/envs/stego3/lib/python3.6/site-packages/torch/serialization.py", line 853, in _load
result = unpickler.load()
ModuleNotFoundError: No module named 'core'
i have tried to both Python 3.8.15 and python 3.6.9
src/eval_segmentation.py:57: UserWarning: The version_base parameter is not specified. Please specify a compatability version level, or None. Will assume defaults for version 1.1 @hydra.main(config_path="configs", config_name="eval_config.yml") /usr/local/envs/stego3/lib/python3.6/site-packages/hydra/plugins/config_source.py:126: UserWarning: Support for .yml files is deprecated. Use .yaml extension for Hydra config files "Support for .yml files is deprecated. Use .yaml extension for Hydra config files" /usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/hydra.py:127: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default. See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information. configure_logging=with_log_configuration, /usr/local/envs/stego3/lib/python3.6/site-packages/torchmetrics/utilities/prints.py:36: UserWarning: Torchmetrics v0.9 introduced a new argument class property called
full_state_update
that has not been set for this class (UnsupervisedMetrics). The property determines ifupdate
by default needs access to the full metric state. If this is not the case, significant speedups can be achieved and we recommend setting this toFalse
. We provide an checking functionfrom torchmetrics.utilities import check_forward_full_state_property
that can be used to check if thefull_state_update=True
(old and potential slower behaviour, default for now) or iffull_state_update=False
can be used safely.warnings.warn(*args, kwargs) Error executing job with overrides: [] Traceback (most recent call last): File "src/eval_segmentation.py", line 219, in
my_app()
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/main.py", line 99, in decorated_main
config_name=config_name,
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 401, in _run_hydra
overrides=overrides,
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 458, in _run_app
lambda: hydra.run(
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 461, in
overrides=overrides,
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/internal/hydra.py", line 132, in run
= ret.return_value
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/usr/local/envs/stego3/lib/python3.6/site-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
File "src/eval_segmentation.py", line 72, in my_app
picie_state = torch.load("/content/drive/MyDrive/saved_models/picie_and_probes.pth")
File "/usr/local/envs/stego3/lib/python3.6/site-packages/torch/serialization.py", line 594, in load
return _load(opened_zipfile, map_location, pickle_module, pickle_load_args)
File "/usr/local/envs/stego3/lib/python3.6/site-packages/torch/serialization.py", line 853, in _load
result = unpickler.load()
ModuleNotFoundError: No module named 'core'