菜单
Classifies and routes tasks to the appropriate ROCm-DS component (hipDF, hipVS, hipGRAPH, hipRAFT, hipMM) based on workload requirements.
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基于 SOC 职业分类
Develop and extend gfxGRAPH internals — add gap bridges, fix HIP/ROCm issues, debug graph capture failures, and understand the architecture. Covers BridgedCUDAGraph, ShapeBucketPool, ConditionalGraph, native bridge, and the monkey-patch system. USE FOR: extend gfxGRAPH, add new gap bridge, fix gfxGRAPH bug, understand gfxGRAPH architecture, modify BridgedCUDAGraph, add gfxGRAPH feature, debug graph capture internals, improve gfxGRAPH performance, gfxGRAPH C++ native bridge, write gfxGRAPH tests. DO NOT USE FOR: just using gfxGRAPH in a project (use gfxgraph-integration), general ROCm issues.
Benchmark gfxGRAPH internals, run the public benchmark suite, and compare performance between Python and Rust.
Guide and resources for deployment and development using the ROCm/AMD ATOM (AiTer Optimized Model) inference backend.
Validates and benchmarks ROCm-DS component ports against their CPU baselines (e.g., pandas vs hipDF). Use this to generate parity tests, verify correctness, and measure the performance speedups of GPU-accelerated code.
Verifies whether a requested ROCm-DS workflow is officially supported, source-build feasible, or experimental on the target system.
Migrates pandas-like workflows to hipDF and cudf.pandas style acceleration, auditing for unsupported features.
| name | tool-router |
| description | Classifies and routes tasks to the appropriate ROCm-DS component (hipDF, hipVS, hipGRAPH, hipRAFT, hipMM) based on workload requirements. |
Act as the traffic cop to decide which ROCm-DS component applies to a given data science task.
hipdf-pandas-porthipvs-annhipgraph-analyticshipraft-primitiveshipmm-memory-ops