hsliu
51d2570464
- Add comprehensive PRD, architecture design, and test design documents - Implement core modules: OmniLLM, AsyncOmniLLM, stage configurations - Add DiT scheduler and cache manager for diffusion models - Implement CLI integration with --omni flag support - Add API server and plugin system for vLLM integration - Create comprehensive test suite with fixtures - Update dependencies to vLLM 0.10.2 and PyTorch 2.8.0 - Add conda environment setup and package installation - Implement stage-based processing architecture - Add multimodal output processing capabilities This commit establishes the foundation for multi-modality models inference and serving with non-autoregressive structures.
10 lines
146 B
Python
10 lines
146 B
Python
"""
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Engine components for vLLM-omni.
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"""
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from .output_processor import MultimodalOutputProcessor
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__all__ = [
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"MultimodalOutputProcessor",
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]
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