vllm-ascend-post-process

What problem does it solve?

Post-processing optimization for vllm-ascend inference results, including Triton kernel optimization, NPU operator fusion, and sampling improvements, to boost throughput and output quality.

Core Features & Use Cases

• Triton kernel fusion for penalties and temperature: merges penalty computation and temperature scaling into a single efficient kernel.
• NPU-accelerated Top-K/Top-P and Gumbel sampling: uses specialized NPU operators to speed up filtering and sampling stages.
• End-to-end optimization guidance: provides structured steps for identifying bottlenecks, validating improvements, and integrating tests.

Quick Start

Identify a post-processing bottleneck in vllm-ascend, implement a fused Triton kernel, and verify performance gains.