Closed mwmilad closed 1 year ago
You have to give dataset names corresponding to the filenames in the config/dataset
folder. E.g.:
python train.py dataset=ntu_reindex
Tnx for your attention.
I change my code but I get same error.
!git clone https://github.com/raphaelmemmesheimer/skeleton-dml %cd skeleton-dml !pip install -r requirements.txt !export DATASET_FOLDER="$(pwd)/data" !mkdir -p data/ntu/ !wget https://agas.uni-koblenz.de/skeleton-dml/skeleton-dml-ntu_120_one_shot.zip !unzip skeleton-dml-ntu_120_one_shot.zip -d /content/skeleton-dml/data/ntu/ntu_reindex !python train.py dataset=ntu_reindex
This most probably relates to a more recent hydra version.
Could you try to install hydra with:
pip install hydra-core==0.11.3
and then retry.
Hi my friend, when i run !python train.py dataset=ntu I get this error
INFO:root:pytorch-metric-learning VERSION 0.9.89 INFO:root:record_keeper VERSION 0.9.32 train.py:216: 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="config/config.yaml") Traceback (most recent call last): File "train.py", line 346, in
train_app()
File "/usr/local/lib/python3.8/dist-packages/hydra/main.py", line 90, in decorated_main
_run_hydra(
File "/usr/local/lib/python3.8/dist-packages/hydra/_internal/utils.py", line 335, in _run_hydra
validate_config_path(config_path)
File "/usr/local/lib/python3.8/dist-packages/hydra/core/utils.py", line 293, in validate_config_path
raise ValueError(msg)
ValueError: Using config_path to specify the config name is not supported, specify the config name via config_name.
See https://hydra.cc/docs/1.2/upgrades/0.11_to_1.0/config_path_changes