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gpu: fix documentation links

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Signed-off-by: Tuomas Katila <tuomas.katila@intel.com>
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Tuomas Katila 2022-09-16 15:24:46 +03:00
parent 1b79b52652
commit 13e20c9abf
2 changed files with 5 additions and 2 deletions
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2
cmd/gpu_nfdhook/README.md
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@ -40,7 +40,7 @@ Following labels are created by default. You may turn numeric labels into extend
name | type | description|
-----|------|------|
|`gpu.intel.com/millicores`| number | node GPU count * 1000. Can be used as a finer grained shared execution fraction.
|`gpu.intel.com/memory.max`| number | sum of detected [GPU memory amounts](#GPU-memory) in bytes OR environment variable value * GPU count
|`gpu.intel.com/memory.max`| number | sum of detected [GPU memory amounts](#gpu-memory) in bytes OR environment variable value * GPU count
|`gpu.intel.com/cards`| string | list of card names separated by '`.`'. The names match host `card*`-folders under `/sys/class/drm/`. Deprecated, use `gpu-numbers`.
|`gpu.intel.com/gpu-numbers`| string | list of numbers separated by '`.`'. The numbers correspond to device file numbers for the primary nodes of given GPUs in kernel DRI subsystem, listed as `/dev/dri/card<num>` in devfs, and `/sys/class/drm/card<num>` in sysfs.
|`gpu.intel.com/tiles`| number | sum of all detected GPU tiles in the system.

5
cmd/gpu_plugin/README.md
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@ -6,7 +6,10 @@ Table of Contents
* [Modes and Configuration Options](#modes-and-configuration-options)
* [Installation](#installation)
* [Pre-built Images](#pre-built-images)
* [Fractional Resources](#fractional-resources)
* [Install to all nodes](#install-to-all-nodes)
* [Install to nodes with Intel GPUs with NFD](#install-to-nodes-with-intel-gpus-with-nfd)
* [Install to nodes with Intel GPUs with Fractional resources](#install-to-nodes-with-intel-gpus-with-fractional-resources)
* [Fractional resources details](#fractional-resources-details)
* [Verify Plugin Registration](#verify-plugin-registration)
* [Testing and Demos](#testing-and-demos)
* [Issues with media workloads on multi-GPU setups](#issues-with-media-workloads-on-multi-gpu-setups)