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Mar 17, 2026
The `olive run-pass` command was implemented and available in the CLI but was not documented in the CLI reference documentation at `docs/source/reference/cli.rst`. ## Changes Made - Added "Run Pass" section to `docs/source/reference/cli.rst` between "Run" and "Finetune" sections - Used the command's help text description: "Run a single pass on the input model (supports HuggingFace, ONNX, PyTorch, and Azure ML models)" - Added proper `argparse` directive pointing to the correct path `run-pass` - Maintained consistent formatting with all other CLI command documentation ## Verification The documentation now includes all available CLI commands and follows the same pattern as the existing 11 documented commands. The `run-pass` command allows users to execute individual optimization passes on models, complementing the full workflow execution provided by the `run` command. Fixes #1910. <!-- START COPILOT CODING AGENT TIPS --> --- 💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more [Copilot coding agent tips](https://gh.io/copilot-coding-agent-tips) in the docs. --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: devang-ml <47577486+devang-ml@users.noreply.github.com>
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Description:
Copy the tensorflow's softmax implementation to there.
Motivation and Context
Improve batch perf.
The old one is not parallelized well.
The new one has much less code.