Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
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Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
PCIe on Tegra264 (Thor, pcie@C0..C5) and Tegra234 (Orin,
pcie@C0..C10) is split across multiple controllers that share the
UPHY lane pool with USB3 / MGBE / UFS. Each controller's runtime
behavior is determined by two surfaces, both required:
| Surface | Target | Authoritative for |
|---|---|---|
ODMDATA pcie@N_status=… (+ pcie@N_max-link-speed, pcie@N_pcie-mode, pcie@N_clk-scheme, pcie-cN-endpoint-enable) | /pcie/pcie@N in BPMP DTB | UPHY lane power, refclk gating, controller-side power rails |
Kernel-DT overlay on &pcieN | /bus@0/pcie@<addr> in kernel DTB | Kernel probe, lane width, link speed, RC/EP mode |
Skipping the kernel overlay on a disable lets the kernel probe a powered-down PHY (link timeouts in dmesg). Skipping the ODMDATA token on a disable leaves BPMP holding the PHY hot.
Agentic, not table-driven — no controller table, no
questions.json. Every controller, lane width, schematic-routed
receptacle, and authoritative DT node address is discovered at runtime
from the docs + DTB + carrier pinmap.
The output is a kernel-DT overlay commit only. Per-controller
fragment@N blocks are appended to the composite custom overlay
.dts per
../../references/bsp-customization-kernel-dtb.md
and committed to the bsp_sources/ hardware repo.
/jetson-build-source compiles the composite to .dtbo and owns its
Makefile + flash-conf registration.
This skill MUST NOT edit ODMDATA="...". All ODMDATA tokens
(pcie@N_status=…, pcie@N_max-link-speed, pcie@N_pcie-mode,
pcie@N_clk-scheme, pcie-cN-endpoint-enable, plus the
uphyX-config-N surface tokens and UPHY_CONFIG="" clear) are
emitted by /jetson-customize-uphy in a single atomic commit on the
carrier flash-conf fork. The allocation table this skill consumes
from the UPHY sidecar already tells the operator which controllers
are okay / disabled / per-lane sized; this skill only translates
that table into kernel-DT overlay fragments and verifies that the
overlay agrees with the ODMDATA already committed by customize-uphy
(consistency check in Step 8 — disagreement is reported, not silently
fixed).
pcie@N_status token.jetson-customize-uphy ran and re-allocated lanes across PCIe controllers
(e.g. switched from uphy0-config-7 to uphy0-config-6 enabling
PCIe C3); the per-controller side now needs to be brought up.jetson-customize-mgbe reports the QSFP path is wired but the kernel
doesn't probe its PCIe-side companion (rare; XFI configurations).Prerequisites:
reference_devkit: + custom_carrier: blocks.<source.root_path>/Linux_for_Tegra/.git exists
(/jetson-init-source)./jetson-derive-carrier has run — carrier flash-conf fork is in
the overlay tracker./jetson-customize-uphy has run — its JSON sidecar at
<workspace>/target-platform/<profile-stem>.jetson-customize-uphy.json
drives the per-controller enable decision.custom_carrier: is present, both
documents.custom_carrier_schematic AND
documents.custom_carrier_pinmux_xls are REQUIRED. Refuse the run
if either is missing — routing on a custom carrier cannot be guessed.
Reference-devkit-only profiles skip this check.dtc on PATH.Full step-by-step walkthrough lives in
references/procedure.md. High-level flow:
<carrier-pinmap>, <ref-dtb>, <uphy-state>). Refuse if
<uphy-state> is missing.<ref-dtb> and grepping the schematic for PEX<N>_* net labels.AskUserQuestion (multiSelect) — which controllers to customize.pin_verifier.py
for PE<N>_CLKREQ_L, PE<N>_RST_L, optional PE<N>_WAKE_L.enable from <uphy-state>,
lanes / speed from Adaptation Guide, mode hard-pinned to
"rc") → mandatory confirm-or-customize gate.fragment@N blocks (marker
/* custom-bsp: pcie:pcie@<addr> */) to the composite custom
overlay .dts in bsp_sources/. Pre-flight dtc + fdtoverlay.
Commit via the workflow's preview gate.
Do not edit ODMDATA — /jetson-customize-uphy already emitted
pcie@N_status=…, pcie@N_max-link-speed, pcie@N_pcie-mode,
pcie@N_clk-scheme, and pcie-cN-endpoint-enable in its single
atomic ODMDATA commit. This skill only translates the per-controller
plan into kernel-DT overlay fragments.git reset --hard autonomously.<workspace>/target-platform/<profile-stem>.jetson-customize-pcie.json
AskUserQuestion prompts per references/procedure.md Step 9.
Never substitute a printed "Next step: …" line for the prompts.mode_override="ep" in Step 5c.enable is derived, not asked. UPHY-allocated controllers are
mandatorily okay; non-allocated are mandatorily disabled.Linux_for_Tegra/ +
bsp_sources/ only./jetson-build-source is authoritative./jetson-build-source Step 5.0a.<uphy-state> missing → run /jetson-customize-uphy first.dmesg | grep pcie;
re-verify ODMDATA pcie@<N>_status=okay and the overlay fragment
agree (Step 8 table in
references/procedure.md).<uphy-state> allocates the expected lane count; the kernel
fragment's num-lanes must match.compatible mismatch → fix the composite root, not the
fragment. UEFI plugin-manager silently skips on mismatch.git reset --hard. See gotchas.references/gotchas.md (RC pinning, node-
address sourcing, stock-disabled controllers, intra-file handoff
with jetson-customize-uphy).references/procedure.md — full nine-
step procedure (topology diff, plan derivation, overlay append,
ODMDATA cross-check, sidecar).references/gotchas.md — failure modes
../../scripts/pin_verifier.py
— shared HSIO pin verifier (Step 4).../../references/platform_template.yaml
— documents: block consumed by Step 1.../../context/bsp-customization-workflow.md
— overlay edit protocol + commit message preview gate.../../references/bsp-customization-kernel-dtb.md
— composite overlay filename / skeleton / append protocol.../jetson-customize-uphy/SKILL.md
— sibling skill that owns UPHY lane allocation; its sidecar drives
the per-controller enable decision.../jetson-customize-pinmux/SKILL.md
— sibling skill invoked by Step 4 (with operator confirmation) to
fix HSIO pin SFIO mismatches.../jetson-customize-mgbe/SKILL.md
— sibling for MGBE controllers; shares the two-surface (ODMDATA
../jetson-derive-carrier/SKILL.md
— must run first; produces the carrier flash-conf fork edited in
Step 6.../jetson-init-source/SKILL.md
— produces the overlay tracker + bsp_sources repo this skill
commits into.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
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Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
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