What happens when I use anomalib train --config?

[luoyq6]

Describe the bug

Dataset

Folder

Model

PatchCore

Steps to reproduce the behavior

anomalib train --config /opt/workspace/luoyq/anomalib/src/configs/model/patchcore.yaml

OS information

OS information:

• OS: [e.g. Ubuntu 20.04]
• Python version: [e.g. 3.10.0]
• Anomalib version: [e.g. 0.3.6]
• PyTorch version: [e.g. 1.9.0]
• CUDA/cuDNN version: [e.g. 11.1]
• GPU models and configuration: [e.g. 2x GeForce RTX 3090]
• Any other relevant information: [e.g. I'm using a custom dataset]

Expected behavior

Screenshots

No response

Pip/GitHub

pip

What version/branch did you use?

No response

Configuration YAML

patchcore.yaml

Logs

no

Code of Conduct

• I agree to follow this project's Code of Conduct

[Samet Akcay]

Can you show the output of anomalib --help? For example here is mine:

Arguments ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]] {install,fit,validate,test,train,predict,export} ...                                   │
│                                                                                                                                                   │
│                                                                                                                                                   │
│ Options:                                                                                                                                          │
│   -h, --help            Show this help message and exit.                                                                                          │
│   -c, --config CONFIG   Path to a configuration file in json or yaml format.                                                                      │
│   --print_config [=flags]                                                                                                                         │
│                         Print the configuration after applying all other arguments and exit. The optional flags customizes the output and are one │
│                         or more keywords separated by comma. The supported flags are: comments, skip_default, skip_null.                          │
│                                                                                                                                                   │
│ Subcommands:                                                                                                                                      │
│   For more details of each subcommand, add it as an argument followed by --help.                                                                  │
│                                                                                                                                                   │
│                                                                                                                                                   │
│   Available subcommands:                                                                                                                          │
│     install             Install the full-package for anomalib.                                                                                    │
│     fit                 Runs the full optimization routine.                                                                                       │
│     validate            Perform one evaluation epoch over the validation set.                                                                     │
│     test                Perform one evaluation epoch over the test set. It's separated from fit to make sure you never run on your                │
│     train               Fit the model and then call test on the trained model.                                                                    │
│     predict             Run inference on a model.                                                                                                 │
│     export              Export the model to ONNX or OpenVINO format.                                                                              │
│                                                                                                                                                   │
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