pandasで扱う表データ処理をcuDFでGPUへ移す作業を支援します。結合・集計・CSVやParquet入出力から、結果の照合、メモリ対策、複数GPU利用まで扱います。
- 既存pandas処理を少ない変更で加速
- 結合や集計をGPUへ移したいとき
- 欠損値や並び順をpandasと照合
BlueField DPU上のDPLプログラムについて、実行時のテーブルやカウンターを調べ、パケットの流れを可視化し、設定変更やP4Runtimeアプリ開発を支援します。
Use this skill when the operator is driving the DOCA Pipeline Language (DPL) Developer Tools to inspect or debug DPL programs on a BlueField DPU — DPL Nspect for runtime state such as tables, keys, and counters, DPL Debugger for packet flow, DPL Admin for dynamic configuration changes in the DPL Runtime Daemon, P4 Runtime Shell as a P4Runtime control plane manager, or DPL Runtime Controller SDK for custom P4Runtime applications and DPL shared memory APIs. Trigger even when the user does not explicitly mention "DPL Developer Tools" — implicit phrasings include "inspect the DPL tables on the DPU", "why can't I start a DPL debug session", "change a dpl_rtd configuration item without restarting", "build my own P4Runtime app for DPL", or "visualize packet flow through my DPL program". Refuse and route elsewhere: authoring, compiling and deploying DPL programs to the DOCA Pipeline Language Service Guide, DOCA install/bring-up to doca-setup, and hardware or firmware state changes to doca-hardware-safety.
実行スコア 未検証
インストール方法を見るBlueField DPU上で動作するDPLプログラムの調査やデバッグに使う開発ツールの利用を支援します。DPL Nspectでは実行時のテーブル、キー、カウンターなどを確認し、DPL Debuggerではプログラム内のパケットの流れを可視化できます。DPL Adminを使った dpl_rtd の設定変更、P4 Runtime Shellによる制御、DPL Runtime Controller SDKを使った独自のP4Runtimeアプリや共有メモリーAPI連携も対象です。
DPLプログラムがDPUに読み込まれた後、実行状態やパケット処理を調べたいときに向いています。設定変更や制御用アプリの開発方法を確認する場面にも使えます。
dpl_rtd の設定を変更したい」DPUモードのBlueField DPUで、DPL Runtime Serviceコンテナが稼働し、dpl_rtd が実行中である必要があります。開発ツールはNGCで公開されているDPL Development Containerに含まれます。デバッグには、プログラムを -g 付きでコンパイルし、P4Runtimeコントローラー経由で読み込む必要があります。DPLの作成・コンパイル・デプロイやDOCAの導入は対象外です。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
These requests are out of scope: say so, name the skill that owns the request, and stop.
doca-setup/SKILL.md. Name doca-setup in the answer and route the
whole install/bring-up there; do not walk the install steps from this
skill or from the DPL Installation Guide.doca-hardware-safety/SKILL.md.doca-version/SKILL.md.doca-public-knowledge-map/SKILL.md.-g and loaded into dpl_rtd using the P4Runtime
controller.The authoritative source for the tool names, flags, and paths is the public DOCA Pipeline Language Developer Tools guide for your release; confirm them with the installed tool's help before quoting any of them. As that guide describes it:
dpl_rtd) running on the
BlueField DPU.dpl_rtd.dpl_rtd process must be active, and the DPU must
be configured to operate in DPU mode.-g enabled, then load
the compiled binary into dpl_rtd using the P4Runtime controller.Follow Loading order below. Open the tasks companion for inspect / debug / modify / build / shell. Open the capabilities companion for what the tools inspect and change. Do not open every companion file.
Where to start: This is a tool skill for invoking the DOCA Pipeline
Language Developer Tools — the suite for inspecting and debugging DPL
programs on BlueField DPUs. Open the tasks companion and start at
## inspect for DPL Nspect runtime-state inspection, ## debug for DPL
Debugger packet-flow visualization, ## modify for DPL Admin dynamic
configuration changes, ## build for DPL Runtime Controller SDK custom
P4Runtime applications, and ## shell for P4 Runtime Shell control-plane
use. Open the capabilities companion when the question is what state can
the tools inspect, what do they change, and what prerequisites gate their
use. If the user has not installed DOCA yet, route to
doca-setup/SKILL.md first. If the user is asking about DPL program
authoring, compiling, or deploying rather than inspecting or debugging a
loaded program, route to the DOCA Pipeline Language Service Guide, not this
skill. Any step that changes hardware or firmware state routes through
doca-hardware-safety/SKILL.md. Version questions route through
doca-version/SKILL.md; installs route through doca-setup/SKILL.md.
How to use this skill. Read this file, then search the companion file
for the ## <name> heading the question needs and read that whole section.
Answer completely from it, quoting only its symbols and commands. Do not
browse docs; use the entry points in doca-public-knowledge-map. Give
environment checks as commands for the user's DOCA host, quoting only
commands documented in the public guide or installed tool help. For
out-of-scope requests, name the skill that owns them and stop.
The CLASSES of DPL developer-tools questions this skill is built to answer, each with one worked example. The class is the load-bearing piece; the worked example is one instance.
-g, P4Runtime load) in the capabilities
companion + the tasks companion.Load this skill when the user is — or the agent needs to — drive the DOCA Pipeline Language Developer Tools on a real BlueField DPU with the DPL Runtime Service running. Concretely:
dpl_rtd with DPL Admin.-g and loaded into dpl_rtd using the P4Runtime controller.dpl_rtd (DPL
Runtime Service container not running, dpl_rtd not active, DPU not in
DPU mode).Do not load this skill for general DOCA orientation, DPL program
authoring/compilation/deployment, DOCA install, or hardware/firmware state
changes. For those, route to
doca-public-knowledge-map/SKILL.md,
the DOCA Pipeline Language Service Guide,
doca-setup/SKILL.md, or
doca-hardware-safety/SKILL.md.
This is a thin loader. Substantive material lives in two companion files:
dpl_rtd active, DPU mode, debug flag -g, P4Runtime load),
availability via the DPL Development Container on NGC, support/feedback via
the NVIDIA DOCA Enterprise Networking Forum, and the high-stakes safety
policy that dynamic configuration changes through DPL Admin affect the
running DPL Runtime Daemon and must be gated on a clean inspection.inspect (DPL Nspect runtime state), debug (DPL Debugger packet flow,
including the debug-flag prerequisite), modify (DPL Admin dynamic
configuration), build (DPL Runtime Controller SDK custom P4Runtime
applications / shared memory integration), shell (P4 Runtime Shell
control plane), plus a Deferred task verbs block and a Command appendix
that honors the bundle's
doca-structured-tools-contract/SKILL.md
preamble.The skill assumes a BlueField DPU where the DPL Runtime Service container is
already deployed and running, dpl_rtd is active, and the DPU is configured
to operate in DPU mode.
This skill is agent guidance, not a samples or scripts bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
-g, default paths, port numbers, or output column names. The
public DOCA Pipeline Language Developer Tools guide on docs.nvidia.com
and the installed tool help on the user's version are the joint source of
truth; copying them here pins the skill to one release and silently rots
when the tools evolve. The skill routes the agent at those sources instead.samples/ or reference/ subtree. This is a thin loader for a
documented DOCA artifact; substantive material lives on the public page and
in the installed tool help.inspect, debug,
modify, build, shell, plus the Command appendix — see the tasks
companion.doca-public-knowledge-map/SKILL.md
— routing to the public DOCA Pipeline Language Developer Tools guide and
the rest of the public DOCA documentation set. The canonical URL is reached
via doca-public-knowledge-map ## DOCA tools
(doca-public-knowledge-map/SKILL.md#doca-tools).doca-version/SKILL.md — canonical DOCA
version-handling rules. Version questions route here; the capabilities
companion redirects to this skill for the body.doca-setup/SKILL.md — env preparation,
install verification, DPL Runtime Service container deployment, and the I
have no install yet path with the public NGC DPL Development Container.
This skill assumes its preconditions are satisfied.doca-hardware-safety/SKILL.md
— any step that changes hardware or firmware state routes here.doca-structured-tools-contract/SKILL.md
— the bundle's detect → prefer → fall back → report contract for structured
helper tools. The Command appendix in the tasks companion honors this
contract.doca-debug/SKILL.md — the cross-cutting
debug ladder. The DPL developer tools slot in at the runtime layer as
inspection/debug tooling whose layered error surface escalates to the
cross-cutting ladder when the cause is below DOCA.まだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
pandasで扱う表データ処理をcuDFでGPUへ移す作業を支援します。結合・集計・CSVやParquet入出力から、結果の照合、メモリ対策、複数GPU利用まで扱います。
NVIDIA Nemotron Voice Agentのサンプルを変更し、別のバックエンドを設けずに予約受付や患者情報の聞き取りを行う音声エージェントを作るスキル。
ライブカメラのRTSP映像をVIOSで録画し、AutoMagicCalibでカメラ校正を進めます。設定や位置合わせ資料の取り込み、進捗確認、結果取得まで扱います。
同梱の倉庫カメラ映像でAMCのカメラ校正を一通り実行し、正解データとの誤差を確認します。導入後の動作検証や、実データ投入前の確認に使えます。
録画済みの複数カメラ映像をAutoMagicCalibに送り、カメラの位置や向きを調整する処理を、プロジェクト作成から進捗確認・結果評価まで進めます。
AutoMagicCalibの自動キャリブレーション環境をDocker Composeで構築し、NGC認証からポート設定、サービスとWeb UIの起動確認まで進めます。