mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-19 22:02:06 +00:00
17367438f3
* test(ctest) enable address sanitizer * feat(trtllm): expose finish reason to Rust * feat(trtllm): fix logits retrieval * misc(ci): enabe building tensorrt-llm * misc(ci): update Rust action toolchain * misc(ci): let's try to build the Dockerfile for trtllm # Conflicts: # Dockerfile_trtllm * misc(ci): provide mecanism to cache inside container * misc(ci): export aws creds as output of step * misc(ci): let's try this way * misc(ci): again * misc(ci): again * misc(ci): add debug profile * misc(ci): add debug profile * misc(ci): lets actually use sccache ... * misc(ci): do not build with ssl enabled * misc(ci): WAT * misc(ci): WAT * misc(ci): WAT * misc(ci): WAT * misc(ci): WAT * misc(backend): test with TGI S3 conf * misc(backend): test with TGI S3 conf * misc(backend): once more? * misc(backend): let's try with GHA * misc(backend): missing env directive * misc(backend): make sure to correctly set IS_GHA_BUILD=true in wf * misc(backend): ok let's debug smtg * misc(backend): WWWWWWWWWWWWWAAAAAAAA * misc(backend): kthxbye retry s3 * misc(backend): use session token * misc(backend): add more info * misc(backend): lets try 1h30 * misc(backend): lets try 1h30 * misc(backend): increase to 2h * misc(backend): lets try... * misc(backend): lets try... * misc(backend): let's build for ci-runtime * misc(backend): let's add some more tooling * misc(backend): add some tags * misc(backend): disable Werror for now * misc(backend): added automatic gha detection * misc(backend): remove leak sanitizer which is included in asan * misc(backend): forward env * misc(backend): forward env * misc(backend): let's try * misc(backend): let's try * misc(backend): again * misc(backend): again * misc(backend): again * misc(backend): again * misc(backend): again * misc(backend): fix sscache -> sccache * misc(backend): fix sscache -> sccache * misc(backend): fix sscache -> sccache * misc(backend): let's actually cache things now * misc(backend): let's actually cache things now * misc(backend): attempt to run the testS? * misc(backend): attempt to run the tests? * misc(backend): attempt to run the tests? * change runner size * fix: Correctly tag docker images (#2878) * fix: Correctly tag docker images * fix: Correctly tag docker images * misc(llamacpp): maybe? * misc(llamacpp): maybe? * misc(llamacpp): maybe? * misc(ci): gogogo * misc(ci): gogogo * misc(ci): gogogo * misc(ci): gogogo * misc(ci): gogogo * misc(ci): gogogo * misc(ci): go * misc(ci): go * misc(ci): go * misc(ci): use bin folder * misc(ci): make the wf callable for reuse * misc(ci): make the wf callable for reuse (bis) * misc(ci): make the wf callable for reuse (bis) * misc(ci): give the wf a name * Create test-trtllm.yml * Update test-trtllm.yml * Create build-trtllm2 * Rename build-trtllm2 to 1-build-trtllm2 * Rename test-trtllm.yml to 1-test-trtllm2.yml * misc(ci): fw secrets * Update 1-test-trtllm2.yml * Rename 1-build-trtllm2 to 1-build-trtllm2.yml * Update 1-test-trtllm2.yml * misc(ci): use ci-build.yaml as main dispatcher * Delete .github/workflows/1-test-trtllm2.yml * Delete .github/workflows/1-build-trtllm2.yml * misc(ci): rights? * misc(ci): rights? * misc(ci): once more? * misc(ci): once more? * misc(ci): baby more time? * misc(ci): baby more time? * misc(ci): try the permission above again? * misc(ci): try the permission above again? * misc(ci): try the permission scoped again? * misc(ci): install tensorrt_llm_executor_static * misc(ci): attempt to rebuild with sccache? * misc(ci):run the tests on GPU instance * misc(ci): let's actually setup sccache in the build.rs * misc(ci): reintroduce variables * misc(ci): enforce sccache * misc(ci): correct right job name dependency * misc(ci): detect dev profile for debug * misc(ci): detect gha build * misc(ci): detect gha build * misc(ci): ok debug * misc(ci): wtf * misc(ci): wtf2 * misc(ci): wtf3 * misc(ci): use commit HEAD instead of merge commit for image id * misc(ci): wtfinfini * misc(ci): wtfinfini * misc(ci): KAMEHAMEHA * Merge TRTLLM in standard CI * misc(ci): remove input machine * misc(ci): missing id-token for AWS auth * misc(ci): missing id-token for AWS auth * misc(ci): missing id-token for AWS auth * misc(ci): again... * misc(ci): again... * misc(ci): again... * misc(ci): again... * misc(ci): missing benchmark * misc(ci): missing backends * misc(ci): missing launcher * misc(ci): give everything aws needs * misc(ci): give everything aws needs * misc(ci): fix warnings * misc(ci): attempt to fix sccache not building trtllm * misc(ci): attempt to fix sccache not building trtllm again --------- Co-authored-by: Guillaume LEGENDRE <glegendre01@gmail.com> Co-authored-by: Hugo Larcher <hugo.larcher@huggingface.co> Co-authored-by: Pauline Bailly-Masson <155966238+paulinebm@users.noreply.github.com> |
||
|---|---|---|
| .. | ||
| cmake | ||
| csrc | ||
| scripts | ||
| src | ||
| tests | ||
| build.rs | ||
| Cargo.toml | ||
| CMakeLists.txt | ||
| README.md | ||
Text Generation Inference - TensorRT-LLM Backend Implementation
Description
This folder provides the sources of the TensorRT-LLM backend implementation powered by TensorRT-LLM Executor new API
Simplified Request Sequence
sequenceDiagram
actor User
participant TextGenerationInference.HttpServer
participant TextGenerationInference.TensorRtLlmBackend
participant TextGenerationInference.TensorRtLlmWorkerThread
participant TensorRtLlm.Executor
participant Nvidia.Gpu
User ->> TextGenerationInference.HttpServer: POST /generate
TextGenerationInference.HttpServer ->> TextGenerationInference.TensorRtLlmBackend: Validate and forward inputs & parameters
TextGenerationInference.TensorRtLlmBackend ->> TextGenerationInference.TensorRtLlmWorkerThread: Allocate a new context and spawn a new thread to handle the request
TextGenerationInference.TensorRtLlmWorkerThread ->> TensorRtLlm.Executor: Submit the request to the In-Flight Batcher
activate Nvidia.Gpu
TensorRtLlm.Executor ->> Nvidia.Gpu: Add the request to the poll for execution
TensorRtLlm.Executor -->> TextGenerationInference.TensorRtLlmWorkerThread: Response with an unique request identifier
rect rgb(10, 92, 54)
loop every 100us
rect rgb(15, 81, 50)
alt Acquire lock to query executor
TextGenerationInference.TensorRtLlmWorkerThread ->> TensorRtLlm.Executor: Poll request number of new token(s) generated
else There are new generated tokens
TextGenerationInference.TensorRtLlmWorkerThread ->> TensorRtLlm.Executor: Retrieve newly generated tokens
TensorRtLlm.Executor -->> TextGenerationInference.TensorRtLlmWorkerThread: Return decoded token information and potential error (omitted)
rect rgb(11, 110, 79)
alt Generated token is final
TensorRtLlm.Executor ->> Nvidia.Gpu: Remove request from the scheduler and from the GPU
TextGenerationInference.TensorRtLlmWorkerThread -->> User: Stream the remaining decoded tokens and flush the connection
else Generated token is not final
TextGenerationInference.TensorRtLlmWorkerThread -->> User: Stream token back to the user as they get decoded
end
end
end
end
deactivate Nvidia.Gpu
end
end