Running any sort of project with the CLI as is produces a OmegaConfig related error. At the moment I'm circumventing this by skipping the "pop" call in question.
To Reproduce
Steps to reproduce the behavior:
Install via pip install -e .
Run mmf_run config=projects/hateful_memes/configs/visual_bert/from_coco.yaml model=visual_bert dataset=hateful_memes
Traceback (most recent call last):
File "/home/joseph/miniconda3/envs/mmf/bin/mmf_run", line 11, in <module>
load_entry_point('mmf', 'console_scripts', 'mmf_run')()
File "/home/joseph/github/mmf/mmf_cli/run.py", line 90, in run
main(configuration, predict=predict)
File "/home/joseph/github/mmf/mmf_cli/run.py", line 37, in main
trainer.load()
File "/home/joseph/github/mmf/mmf/trainers/base_trainer.py", line 61, in load
self.load_model_and_optimizer()
File "/home/joseph/github/mmf/mmf/trainers/base_trainer.py", line 129, in load_model_and_optimizer
self.load_extras()
File "/home/joseph/github/mmf/mmf/trainers/base_trainer.py", line 154, in load_extras
self.checkpoint = Checkpoint(self)
File "/home/joseph/github/mmf/mmf/utils/checkpoint.py", line 109, in __init__
self.save_config()
File "/home/joseph/github/mmf/mmf/utils/checkpoint.py", line 125, in save_config
self.config.pop("config_override", None)
File "/home/joseph/miniconda3/envs/mmf/lib/python3.7/site-packages/omegaconf/dictconfig.py", line 433, in pop
self._format_and_raise(key=key, value=None, cause=e)
File "/home/joseph/miniconda3/envs/mmf/lib/python3.7/site-packages/omegaconf/base.py", line 101, in _format_and_raise
type_override=type_override,
File "/home/joseph/miniconda3/envs/mmf/lib/python3.7/site-packages/omegaconf/_utils.py", line 590, in format_and_raise
raise_(ex, cause)
File "/home/joseph/miniconda3/envs/mmf/lib/python3.7/site-packages/omegaconf/_utils.py", line 515, in raise_
raise ex
omegaconf.errors.ConfigTypeError: DictConfig in struct mode does not support pop
full_key: config_override
reference_type=Optional[Dict[Any, Any]]
object_type=dict
Expected behavior
Training should begin as normal
Environment
PyTorch version: 1.5.0
Is debug build: No
CUDA used to build PyTorch: 10.2
🐛 Bug
Running any sort of project with the CLI as is produces a OmegaConfig related error. At the moment I'm circumventing this by skipping the "pop" call in question.
To Reproduce
Steps to reproduce the behavior:
pip install -e .
mmf_run config=projects/hateful_memes/configs/visual_bert/from_coco.yaml model=visual_bert dataset=hateful_memes
Expected behavior
Training should begin as normal
Environment
PyTorch version: 1.5.0 Is debug build: No CUDA used to build PyTorch: 10.2
OS: Ubuntu 18.04.4 LTS GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 CMake version: version 3.10.2
Python version: 3.7 Is CUDA available: Yes CUDA runtime version: 10.2.89 GPU models and configuration: GPU 0: GeForce GTX 1080 Nvidia driver version: 440.82 cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
Versions of relevant libraries: [pip] numpy==1.16.6 [pip] torch==1.5.0 [pip] torchtext==0.5.0 [pip] torchvision==0.6.0 [conda] torch 1.5.0 pypi_0 pypi [conda] torchtext 0.5.0 pypi_0 pypi [conda] torchvision 0.6.0 pypi_0 pypi