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.
日本語の概要は準備中です。原文の説明を表示しています。
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
インストール方法を見る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。
Split a large pull request into multiple smaller PRs, where each PR touches
the fewest possible CODEOWNERS reviewer groups. The goal is to reduce review
burden: a PR that only touches megatron/core/ needs only the core reviewers,
while a PR that also touches examples/, tools/, and megatron/training/
pulls in many additional groups.
For split-planning questions, lead with these constraints before the full workflow:
git diff upstream/main..<source-branch> -- <paths> | git apply, pushes
to the user's fork, and never pushes directly to upstream.gh pr view <number> --repo NVIDIA/Megatron-LM --json title,body,headRefName,author and gh pr diff <number> --repo NVIDIA/Megatron-LM --stat. Also determine the current GitHub user with gh api user --jq .login..github/CODEOWNERS to build a mapping from file path patterns to owner groups.The primary optimization goal: minimize the number of CODEOWNERS reviewer groups required for each resulting PR.
Strategy:
Present the proposed split as a table:
Wait for user approval before proceeding.
For each new PR:
main, or a dependency PR's branch).git diff upstream/main..<source-branch> -- <file paths> | git apply.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。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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'.
日本語の概要は準備中です。原文の説明を表示しています。
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`.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。