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The script scripts/run_multimodal.py currently has two distinct issues that affect its reliability and usability in documented environments.
1. Critical Bug: Script Hangs in Non-Interactive Environments
Problem: The script calls image.show() after loading each image, which attempts to open a GUI window. When the script is run inside a Docker container or any other headless environment, this call blocks execution indefinitely, causing the script to hang.
Impact: This bug makes the script unusable in one of its primary intended environments.
2. Code Quality: Brittle Checkpoint Loading
Problem: The script uses a manual model.load_state_dict(torch.load(...)) call to load weights. This method is not as robust as the built-in helper function.
Impact: It fails to leverage the model.load_weights() method, which is designed to handle both single-file and sharded checkpoints automatically. This makes the script less flexible and not aligned with the library's best practices.
Proposed Solution
To resolve these issues, the following changes are proposed:
Remove the image.show() call to ensure the script runs correctly in all environments.
Refactor the weight loading logic to use model.load_weights() for improved robustness and maintainability.
The script
scripts/run_multimodal.pycurrently has two distinct issues that affect its reliability and usability in documented environments.1. Critical Bug: Script Hangs in Non-Interactive Environments
image.show()after loading each image, which attempts to open a GUI window. When the script is run inside a Docker container or any other headless environment, this call blocks execution indefinitely, causing the script to hang.2. Code Quality: Brittle Checkpoint Loading
model.load_state_dict(torch.load(...))call to load weights. This method is not as robust as the built-in helper function.model.load_weights()method, which is designed to handle both single-file and sharded checkpoints automatically. This makes the script less flexible and not aligned with the library's best practices.Proposed Solution
To resolve these issues, the following changes are proposed:
image.show()call to ensure the script runs correctly in all environments.model.load_weights()for improved robustness and maintainability.