`@tensorflow/tfjs-node` installation issue

Abierto
#8,748 0 comentarios 0 reacciones 1 asignado Ver en GitHub

@nileshau-afk ya está trabajando en esto.

Desde el 9/10/2026.

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
node.js, tensorflow, typescript

Línea de trabajo

Start by reproducing the npm installation warnings for @tensorflow/tfjs-node and tracing which package in its dependency tree brings in the deprecated dependencies listed in the issue. The issue names no manifest or test, so inspect the package and dependency configuration to identify the source. Done means the installation no longer pulls in the reported deprecated dependencies, with installation behavior verified.

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

Descripción

type:build/install

@tensorflow/tfjs-node installation pulls in multiple deprecated dependencies

Description

When installing the latest @tensorflow/tfjs-node, npm reports several deprecated dependencies in the dependency tree.

For example, during installation I receive:

npm warn deprecated [email protected]: This module is not supported, and leaks memory. Do not use it.
npm warn deprecated [email protected]: This package is no longer supported.
npm warn deprecated [email protected]: Rimraf versions prior to v4 are no longer supported
npm warn deprecated [email protected]: Rimraf versions prior to v4 are no longer supported
npm warn deprecated [email protected]: This package is no longer supported.
npm warn deprecated [email protected]: Glob versions prior to v9 are no longer supported
npm warn deprecated [email protected]: This package is no longer supported.

<img width="1421" height="263" alt="Image" src="https://github.com/user-attachments/assets/ff66deba-0715-45a2-8bde-5d3fd4fd15be" />

Lenguaje dominante
TypeScript
Estrellas
19.2k
Forks
2k
Métricas de merge de PR
Sin PR fusionados en 30 d

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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