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Apps always run with NVIDIA graphics when run from the dock

Abierto
#618 2 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
48/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
linux
Área
desktop

Línea de trabajo

Start by reproducing the difference between launching a pinned dock app and launching the same app from search or the applications menu, checking GPU selection with nvidia-smi. Trace the dock's pinned-app launch path and its "Open with Intel graphics" behavior. Done means pinned apps default to Intel graphics, with any discrete-GPU selection behavior matching the agreed scope.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

What Happened?

When you launch a pinned app, it defaults to NVIDIA graphics (confirmed by checking nvidia-smi). When you launch an app from the search or the applications menu, it runs on Intel graphics. This is not great for battery life.

Steps to Reproduce

Launch an app from the dock. You'll notice by right-clicking the icon that it says "Open with Intel graphics", implying that

Expected Behavior

Apps launch with Intel graphics by default unless the user otherwise requests. Ideally, the user could also make an app (e.g. Kdenlive) always launch with dedicated graphics, e.g. by adding a checkbox beneath "Open with [brand] Graphics" saying "Use discrete graphics card", which will always launch the app with the dGPU.

OS Version

8.x (Circe)

OS Architecture

amd64 (on most hardwares)

Session Type

Secure Session (Wayland, This is the default)

Software Version

Latest release (I have run all updates)

Log Output

Hardware Info

HP ENVY Laptop 16-h1055cl

Lenguaje dominante
Vala
Estrellas
110
Forks
42
Merge medio
1 h 4 min
PR fusionados (30 d)
1

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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