- Updated the vLLM wheel to commit 24650715105a26b41c88f4164777b5e1a0f3200b in Dockerfile.ci.
- Modified the `calculate_metrics` function to handle `tokenizer` as optional (can be None) in metrics.py.
- Adjusted the `benchmark` function to accept `tokenizer` as optional in patch.py.
- Enhanced condition checks in OmniARScheduler to ensure valid token generation in omni_ar_scheduler.py.
- Updated input processing to include supported tasks in input_processor.py.
- Cleaned up unnecessary code in output_processor.py.
- Added support for SSL ciphers in the API server configuration in api_server.py.
- Enabled speculative decoding in GPU model runners for improved performance in gpu_generation_model_runner.py and gpu_model_runner.py.
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Update Dockerfile for vllm wheel version and enhance input processing in Omni models. Added decoding for byte messages in async requests, included new metrics in benchmarks, and improved pause state handling in the scheduler. Refined input and output processing methods for better multimodal support and error handling.
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
- Updated OmniInputProcessor to streamline input processing, including enhanced handling of prompt embeddings and additional information.
- Introduced OmniTextPrompt and OmniEmbedsInputs to support new input structures with optional metadata.
- Modified input preprocessing methods to accommodate new prompt types and ensure compatibility with multimodal inputs.
- Improved error handling and type checking for data parallel configurations.
Signed-off-by: [Your Name] <your.email@example.com>
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
tzhouam