Dependencies: Switch to pyproject.toml #88
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This will manage dependencies from now on since it's a more flexible file that's similar to other packaging utilities like npm and cargo. Signed-off-by: kingbri <[email protected]>
Signed-off-by: kingbri <[email protected]>
Pyproject.toml replaces these files. Signed-off-by: kingbri <[email protected]>
Removes unnecessary ruff.toml. Signed-off-by: kingbri <[email protected]>
v0.0.16 Signed-off-by: kingbri <[email protected]>
When the model is processing a prompt, add the ability to abort on request cancellation. This is also a catch for a SIGINT. Signed-off-by: kingbri <[email protected]>
Some tokenizer variables don't get cleaned up on init, so these can persist. Clean these up manually before creating a new tokenizer for now. Signed-off-by: kingbri <[email protected]>
There is no platform agnostic way to fetch CUDA/ROCm's versions since environment variables change and users don't necessarily need CUDA or ROCm installed to run pytorch (pytorch installs the necessary libs if they don't exist). Therefore, prompt the user for their GPU lib and store the result in a textfile so the user doesn't need to constantly enter a preference. Signed-off-by: kingbri <[email protected]>
Adopt to new pyproject install method Signed-off-by: kingbri <[email protected]>
This was referenced Mar 21, 2024
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This PR switches from requirements.txt to pyproject.toml for dependencies and configuration. The main reason is because maintaining multiple requirements files is difficult and time consuming. In addition, update the start scripts to reflect these changes and prompt the user for their GPUs.