Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Mengelola lingkungan conda
Halaman ini menjelaskan cara mengelola lingkungan conda di
instance Vertex AI Workbench.
Ringkasan
Jika Anda telah menambahkan lingkungan conda ke instance Vertex AI Workbench,
lingkungan tersebut akan muncul sebagai
kernel
di antarmuka JupyterLab instance Anda.
Anda mungkin telah menambahkan lingkungan conda ke instance untuk menggunakan kernel
yang tidak tersedia di instance Vertex AI Workbench default.
Halaman ini menjelaskan cara mengubah dan menghapus kernel tersebut.
Di samping nama instance Vertex AI Workbench,
klik Buka JupyterLab.
Instance Vertex AI Workbench akan membuka JupyterLab.
Mengubah kernel conda
Instance Vertex AI Workbench dilengkapi dengan framework bawaan seperti PyTorch
dan TensorFlow. Jika memerlukan versi yang berbeda, Anda dapat mengubah
library menggunakan pip di lingkungan conda yang relevan.
Misalnya, jika Anda ingin mengupgrade PyTorch:
# Check the name of the conda environment for PyTorchcondaenvlist# Activate the environment for PyTorchcondaactivatepytorch# Display the PyTorch versionpython-c"import torch; print(torch.__version__)"# Make sure to use pip from the conda environment for PyTorch# This should be `/opt/conda/envs/pytorch/bin/pip`whichpip# Upgrade PyTorchpipinstall--upgradetorch
Menghapus kernel conda
Beberapa paket conda menambahkan kernel default ke lingkungan Anda saat paket
diinstal. Misalnya, saat Anda menginstal R, conda mungkin juga menambahkan
kernel python3. Hal ini dapat menyebabkan duplikasi kernel di
lingkungan Anda. Untuk menghindari kernel duplikat, hapus kernel default
sebelum Anda membuat kernel baru dengan nama yang sama.
Untuk mendiagnosis dan menyelesaikan masalah terkait pengelolaan lingkungan conda di
instance Vertex AI Workbench, lihat Memecahkan Masalah
Vertex AI Workbench.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-18 UTC."],[],[],null,["# Manage the conda environment in your Vertex AI Workbench instance\n\nManage your conda environment\n=============================\n\nThis page describes how to manage a conda environment in your\nVertex AI Workbench instance.\n\nOverview\n--------\n\nIf you've added a conda environment to your Vertex AI Workbench instance,\nit appears as a\n[kernel](https://jupyterlab.readthedocs.io/en/stable/user/documents_kernels.html)\nin your instance's JupyterLab interface.\n\nYou might have added a conda environment to your instance to use a kernel\nthat isn't available in a default Vertex AI Workbench instance.\nThis page describes how to modify and delete that kernel.\n\nOpen JupyterLab\n---------------\n\n1. In the Google Cloud console, go to the **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/vertex-ai/workbench/instances)\n2. Next to your Vertex AI Workbench instance's name,\n click **Open JupyterLab**.\n\n Your Vertex AI Workbench instance opens JupyterLab.\n\nModify a conda kernel\n---------------------\n\nVertex AI Workbench instances come with pre-installed frameworks such as PyTorch\nand TensorFlow. If you need a different version, you can modify the\nlibraries by using pip in the relevant conda environment.\n\nFor example, if you want to upgrade PyTorch: \n\n```python\n# Check the name of the conda environment for PyTorch\nconda env list\n\n# Activate the environment for PyTorch\nconda activate pytorch\n\n# Display the PyTorch version\npython -c \"import torch; print(torch.__version__)\"\n\n# Make sure to use pip from the conda environment for PyTorch\n# This should be `/opt/conda/envs/pytorch/bin/pip`\nwhich pip\n\n# Upgrade PyTorch\npip install --upgrade torch\n```\n\nDelete a conda kernel\n---------------------\n\nSome conda packages add default kernels to your environment when the packages\nare installed. For example, when you install R, conda might also add a\n`python3` kernel. This can cause a duplication of kernels in your\nenvironment. To avoid duplicated kernels, delete the default kernel\nbefore you create a new kernel with the same name. \n\n```scdoc\nrm -rf /opt/conda/envs/CONDA_ENVIRONMENT_NAME/share/jupyter/kernels/python3\n```\n\nTroubleshoot\n------------\n\nTo diagnose and resolve issues related to managing a conda environment in\nyour Vertex AI Workbench instance, see [Troubleshooting\nVertex AI Workbench](/vertex-ai/docs/general/troubleshooting-workbench#instances).\n\nWhat's next\n-----------\n\n- Learn more about [conda](https://docs.conda.io/en/latest/)."]]
