| ---
|
| license: apache-2.0
|
| ---
|
|
|
| # MLSys 2026 FlashInfer-Bench Challenge Dataset (Unofficial Patch)
|
|
|
| > **This is an unofficial patch** of the original
|
| > [mlsys26-contest](https://huggingface.co/datasets/flashinfer-ai/mlsys26-contest) dataset.
|
| > It is not affiliated with or endorsed by the FlashInfer team.
|
|
|
| ## What was changed
|
|
|
| The original GDN prefill workloads cause numerical explosion in the reference
|
| implementation. Random keys generated by the harness (`torch.randn`) have
|
| `||k||^2 ~ 128`, making the delta rule's state transition matrix spectrally
|
| unstable whenever the gate `g` exceeds `1 / (beta * ||k||^2) ~ 0.005`.
|
|
|
| **Fix:** The `dt_bias` tensor in all 100 GDN prefill safetensors files was
|
| adjusted per-head so that `g < 0.005` for every timestep. No other tensors,
|
| workload entries, definitions, or non-GDN data were modified.
|
|
|
| ## Original README
|
|
|
| This repository contains the FlashInfer-Bench dataset for the MLSys 2026 Kenrel Generation Challenge.
|
|
|
| This dataset targets to be used in the [FlashInfer-Bench](https://github.com/flashinfer-ai/flashinfer-bench) benchmark system.
|
|
|
| It follows the [FlashInfer Trace Schema](https://bench.flashinfer.ai/docs/flashinfer-trace). To use the dataset in the competition, please refer to our [starter kit](https://github.com/flashinfer-ai/flashinfer-bench-starter-kit).
|
|
|
| ## Tasks
|
|
|
| This dataset contains the definitions and workloads for these kernels:
|
| * Fused Mixture of Experts (MoE)
|
| * Gated Delta Network (GDN)
|
| * DeepSeek Sparse Attention (DSA)
|
|
|
| ## Dataset Structure
|
|
|
| It is organized as follows:
|
| ```
|
| mlsys26-contest/
|
| ├── definitions/
|
| └── workloads/
|
| ```
|
|
|
| These components are provided in the dataset:
|
| * **Definition**: describes the input, output, and computation logic of a kernel task.
|
| * **Workload**: describes the inputs for a definition during real inference. This will be used to benchmark the **Solution** you provided.
|
|
|
| During benchmarking, these components should be provided or generated:
|
| * **Solution**: provided by participants, your implementation of the kernel task.
|
| * **Trace**: generated by FlashInfer-Bench, the performance and correctness results of your solution on the workloads.
|
|
|
