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TensorRT-LLM backend bump to latest version + misc fixes #2791
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…ormation from the engine folder
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* chore: Add doc and CI for TRTLLM * chore: Add doc and CI for TRTLLM * chore: Add doc and CI for TRTLLM * chore: Add doc and CI for TRTLLM * doc: Formatting
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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Let's gooo 🚀 !!!!!!
// Define some configuration variables | ||
executor_config.setKvCacheConfig(tle::KvCacheConfig(true)); | ||
executor_config.setEnableChunkedContext(compute_capabilities.is_at_least_ampere()); | ||
executor_config.setSchedulerConfig(tle::SchedulerConfig(tle::CapacitySchedulerPolicy::kMAX_UTILIZATION)); |
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Probably something we would need to have as a variable somewhere (but we need to bench the impacts first).
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What about we expose it through the CLI of the launcher mb? This way it's both CLI and ENV overridable
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Yeah but let's make sure that it's an advanced setting (I don't users to be confused by all the CLI options)
This PR bumps some dependencies related to TensorRT-LLM alongside rebasing Docker container against ubuntu24.04 instead of ubuntu22.04.
To support this, we need to use latest TensorRT-LLM main due to a missing import in one of the file on Nvidia side leading to gcc failure for gcc > 12 (more info here).
It also reimplement the backbone of the backend for simplicity and alow easier testing which is actively WIP as for now but will land in its own PR as it will involve some additional changes on GA side.