Safety_Inference Module#
API documentation for the safety_inference module.
- Byte Level Bpe Tokenizer
- Container Storage
- Declared Resource Manager
- Embedding Capability
- Estd Allocator
- Estd Vector
- Fp16 Embedding
- Fp16 Embedding Kernels
- Greedy Argmax Kernel
- Greedy Sampler Capability
- Internvl3 Embedding Capability
- Internvl3 Multimodal Preprocessor Capability
- Internvl3 Preprocess Kernels
- Internvl3 Request Context
- Internvl3 Request Processing
- Internvl3 Tokenizer Capability
- Internvl3 Vanilla Inference
- Internvl Image Kernels
- Internvl Image Plan
- Lifecycle State
- LLM Model Local Data
- LLM Request Context
- Lm Stage Context
- Model Inference
- Model Inference Catalog
- Model Inference Types
- Multimodal Preprocessor Capability
- Processing Capabilities
- Processing Capability Coordinator
- Rgb Resize Normalize Kernels
- Rope Cache
- Runner Resource Resolver
- Runtime Resource
- Safety Attention Contract
- Safety Attention Kernels
- Safety Attention Modules
- Safety Attention Plugin
- Safety Blackwell Launch
- Safety Creator Registration
- Safety Error Recorder
- Safety Error State
- Safety FMHA Launch
- Safety Generation Types
- Safety Graph Initialization
- Safety Model Local Data
- Safety Plugin Export
- Safety Plugin Registry
- Safety Request Processing
- Safety Rope Kernel
- Safety Runtime
- Safety Status
- Safety Status Utils
- Safety Tensor View
- Sampler Capability
- Single Request Text Response
- Tokenizer Capability
- TRT Resource Manager
- TRT Safety Graph Executor
- TRT Safety Runner
- Vanilla Autoregressive Strategy
- Vlm Request Context