mirror of
https://github.com/immich-app/immich.git
synced 2024-12-28 22:51:59 +00:00
deps: update docs (#6462)
This commit is contained in:
Jason Rasmussen
GitHub
parent
98cee8864d
commit
44873b4224
7 changed files with 6152 additions and 13360 deletions
|
|
@ -227,7 +227,7 @@ To do this you can run:
|
|||
|
||||
### Why is Immich slow on low-memory systems like the Raspberry Pi?
|
||||
|
||||
Immich optionally uses machine learning for several features. However, it can be too heavy to run on a Raspberry Pi. You can [mitigate](/docs/FAQ#how-can-i-lower-immichs-cpu-and-ram-usage) this or transfer to host Immich's machine-learning container on a [more powerful system](/docs/guides/remote-machine-learning) ,or [disable](/docs/FAQ#how-can-i-disable-machine-learning) machine learning entirely.
|
||||
Immich optionally uses machine learning for several features. However, it can be too heavy to run on a Raspberry Pi. You can [mitigate](/docs/FAQ#can-i-lower-cpu-and-ram-usage) this or transfer to host Immich's machine-learning container on a [more powerful system](/docs/guides/remote-machine-learning) ,or [disable](/docs/FAQ#how-can-i-disable-machine-learning) machine learning entirely.
|
||||
|
||||
### Can I lower CPU and RAM usage?
|
||||
|
||||
|
|
|
|||
|
|
@ -10,7 +10,7 @@ Unit are run by calling `npm run test` from the `server` directory.
|
|||
|
||||
The backend has an end-to-end test suite that can be called with `npm run test:e2e` from the `server` directory. This will set up a dummy database inside a temporary container and run the tests against it. Setup and teardown is automatically taken care of. That test, however, can not set up all prerequisites to parse file formats, as that is very complex and error-prone. As such, this test excludes some test cases like HEIC file imports. The test suite will also print a friendly warning to remind you that not all tests are being run.
|
||||
|
||||
Note that there is a bug in nodejs <20.8 that causes segmentation faults when running these tests. If you run into segfaults, ensure you are using at least version 20.8.
|
||||
Note that there is a bug in nodejs \<20.8 that causes segmentation faults when running these tests. If you run into segfaults, ensure you are using at least version 20.8.
|
||||
|
||||
To perform a full e2e test, you need to run e2e tests inside docker. The easiest way to do that is to run `make test-e2e` in the root directory. This will build and start a docker-compose consisting of the server, microservices, and a postgres database. It will then perform the tests and exit.
|
||||
|
||||
|
|
|
|||
|
|
@ -121,16 +121,16 @@ Redis (Sentinel) URL example JSON before encoding:
|
|||
|
||||
## Machine Learning
|
||||
|
||||
| Variable | Description | Default | Services |
|
||||
| :----------------------------------------------- | :---------------------------------------------------------------- | :-----------------: | :--------------- |
|
||||
| `MACHINE_LEARNING_MODEL_TTL` | Inactivity time (s) before a model is unloaded (disabled if <= 0) | `300` | machine learning |
|
||||
| `MACHINE_LEARNING_MODEL_TTL_POLL_S` | Interval (s) between checks for the model TTL (disabled if <= 0) | `10` | machine learning |
|
||||
| `MACHINE_LEARNING_CACHE_FOLDER` | Directory where models are downloaded | `/cache` | machine learning |
|
||||
| `MACHINE_LEARNING_REQUEST_THREADS`<sup>\*1</sup> | Thread count of the request thread pool (disabled if <= 0) | number of CPU cores | machine learning |
|
||||
| `MACHINE_LEARNING_MODEL_INTER_OP_THREADS` | Number of parallel model operations | `1` | machine learning |
|
||||
| `MACHINE_LEARNING_MODEL_INTRA_OP_THREADS` | Number of threads for each model operation | `2` | machine learning |
|
||||
| `MACHINE_LEARNING_WORKERS`<sup>\*2</sup> | Number of worker processes to spawn | `1` | machine learning |
|
||||
| `MACHINE_LEARNING_WORKER_TIMEOUT` | Maximum time (s) of unresponsiveness before a worker is killed | `120` | machine learning |
|
||||
| Variable | Description | Default | Services |
|
||||
| :----------------------------------------------- | :----------------------------------------------------------------- | :-----------------: | :--------------- |
|
||||
| `MACHINE_LEARNING_MODEL_TTL` | Inactivity time (s) before a model is unloaded (disabled if \<= 0) | `300` | machine learning |
|
||||
| `MACHINE_LEARNING_MODEL_TTL_POLL_S` | Interval (s) between checks for the model TTL (disabled if \<= 0) | `10` | machine learning |
|
||||
| `MACHINE_LEARNING_CACHE_FOLDER` | Directory where models are downloaded | `/cache` | machine learning |
|
||||
| `MACHINE_LEARNING_REQUEST_THREADS`<sup>\*1</sup> | Thread count of the request thread pool (disabled if \<= 0) | number of CPU cores | machine learning |
|
||||
| `MACHINE_LEARNING_MODEL_INTER_OP_THREADS` | Number of parallel model operations | `1` | machine learning |
|
||||
| `MACHINE_LEARNING_MODEL_INTRA_OP_THREADS` | Number of threads for each model operation | `2` | machine learning |
|
||||
| `MACHINE_LEARNING_WORKERS`<sup>\*2</sup> | Number of worker processes to spawn | `1` | machine learning |
|
||||
| `MACHINE_LEARNING_WORKER_TIMEOUT` | Maximum time (s) of unresponsiveness before a worker is killed | `120` | machine learning |
|
||||
|
||||
\*1: It is recommended to begin with this parameter when changing the concurrency levels of the machine learning service and then tune the other ones.
|
||||
|
||||
|
|
|
|||
|
|
@ -1,8 +1,7 @@
|
|||
// @ts-check
|
||||
// Note: type annotations allow type checking and IDEs autocompletion
|
||||
|
||||
const lightCodeTheme = require('prism-react-renderer/themes/github');
|
||||
const darkCodeTheme = require('prism-react-renderer/themes/dracula');
|
||||
const prism = require('prism-react-renderer');
|
||||
|
||||
/** @type {import('@docusaurus/types').Config} */
|
||||
const config = {
|
||||
|
|
@ -165,8 +164,8 @@ const config = {
|
|||
copyright: `Immich is available as open source under the terms of the MIT License.`,
|
||||
},
|
||||
prism: {
|
||||
theme: lightCodeTheme,
|
||||
darkTheme: darkCodeTheme,
|
||||
theme: prism.themes.github,
|
||||
darkTheme: prism.themes.dracula,
|
||||
additionalLanguages: ['sql'],
|
||||
},
|
||||
image: 'overview/img/feature-panel.png',
|
||||
|
|
|
|||
19453
docs/package-lock.json
generated
19453
docs/package-lock.json
generated
File diff suppressed because it is too large
Load diff
|
|
@ -16,28 +16,28 @@
|
|||
"write-heading-ids": "docusaurus write-heading-ids"
|
||||
},
|
||||
"dependencies": {
|
||||
"@docusaurus/core": "^2.4.3",
|
||||
"@docusaurus/preset-classic": "^2.4.3",
|
||||
"@docusaurus/core": "^3.1.0",
|
||||
"@docusaurus/preset-classic": "^3.1.0",
|
||||
"@mdi/js": "^7.3.67",
|
||||
"@mdi/react": "^1.6.1",
|
||||
"@mdx-js/react": "^1.6.22",
|
||||
"autoprefixer": "^10.4.13",
|
||||
"@mdx-js/react": "^3.0.0",
|
||||
"autoprefixer": "^10.4.17",
|
||||
"classnames": "^2.3.2",
|
||||
"clsx": "^2.0.0",
|
||||
"docusaurus-lunr-search": "^2.3.2",
|
||||
"docusaurus-preset-openapi": "^0.6.3",
|
||||
"docusaurus-lunr-search": "^3.3.2",
|
||||
"docusaurus-preset-openapi": "^0.7.3",
|
||||
"postcss": "^8.4.25",
|
||||
"prism-react-renderer": "^1.3.5",
|
||||
"prism-react-renderer": "^2.3.1",
|
||||
"raw-loader": "^4.0.2",
|
||||
"react": "^17.0.2",
|
||||
"react-dom": "^17.0.2",
|
||||
"react": "^18.0.0",
|
||||
"react-dom": "^18.0.0",
|
||||
"tailwindcss": "^3.2.4",
|
||||
"url": "^0.11.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@docusaurus/module-type-aliases": "^2.4.1",
|
||||
"@tsconfig/docusaurus": "^1.0.5",
|
||||
"prettier": "^3.0.0",
|
||||
"@docusaurus/module-type-aliases": "^3.1.0",
|
||||
"@tsconfig/docusaurus": "^2.0.2",
|
||||
"prettier": "^3.2.4",
|
||||
"typescript": "^5.1.6"
|
||||
},
|
||||
"browserslist": {
|
||||
|
|
|
|||
|
|
@ -4,6 +4,6 @@
|
|||
|
||||
"compilerOptions": {
|
||||
"baseUrl": ".",
|
||||
"module": "Node16"
|
||||
}
|
||||
"module": "Node16",
|
||||
},
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue