Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Aplikasi web Vertex AI TensorBoard menyediakan visualisasi log
yang terkait dengan eksperimen Vertex AI TensorBoard.
Aplikasi web ini menawarkan beberapa alat dan dasbor untuk memvisualisasikan dan
membandingkan data di seluruh operasi eksperimen, serta untuk
membuat profil performa pelatihan model.
Untuk mempelajari setiap dasbor lebih lanjut, lihat
README
untuk "Visualisasi".
Mengakses aplikasi web Vertex AI TensorBoard
Aplikasi web Vertex AI TensorBoard diakses menggunakan format alamat berikut:
Memvisualisasikan metrik Vertex AI TensorBoard di Google Cloud konsol
Jika instance TensorBoard Anda dikaitkan dengan Eksperimen Vertex AI, yang otomatis dilakukan saat menggunakan instance TensorBoard default, metrik tertentu dapat divisualisasikan langsung di konsol Google Cloud , tanpa menggunakan aplikasi web.
Dokumen Membandingkan dan menganalisis proses menjelaskan cara melihat detail proses eksperimen Anda dan membandingkannya dengan satu sama lain di konsol Google Cloud .
Metrik deret waktu TensorBoard muncul di tab Charts di menu navigasi
konsol Vertex AI Experiments.
[[["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 2025-09-04 UTC."],[],[],null,["# View Vertex AI TensorBoard data\n\nThe Vertex AI TensorBoard web app provides a visualization of\nlogs associated with a Vertex AI TensorBoard experiment.\nThis web application offers several tools and dashboards to visualize and\ncompare data across experiment runs, and to\n[profile model training performance](/vertex-ai/docs/training/tensorboard-profiler).\n\nTo learn more about each dashboard, see the\n[README](https://github.com/tensorflow/tensorboard/blob/master/README.md#the-visualizations)\nfor \"The Visualization\".\n\nAccess a Vertex AI TensorBoard web app\n--------------------------------------\n\nThe Vertex AI TensorBoard web app is accessed using the\nfollowing address format:\n\n`https://`\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e`.tensorboard.googleusercontent.com/experiment/projects+`\u003cvar translate=\"no\"\u003ePROJECT_NAME_OR_ID\u003c/var\u003e`+locations+`\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e`+tensorboards+`\u003cvar translate=\"no\"\u003eTENSORBOARD_ID\u003c/var\u003e`+experiments+`\u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e\n\n- \u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e: the region your TensorBoard is located in\n- \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: the project your TensorBoard was created in\n- \u003cvar translate=\"no\"\u003eTENSORBOARD_ID\u003c/var\u003e: the [TensorBoard ID](/vertex-ai/docs/experiments/tensorboard-setup#tensorboard_id)\n- \u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e: the name of the TensorBoard experiment\n\nThis link can be shared and used by anyone who has permission.\n\nYou can navigate here directly by inserting the appropriate values,\nor by following a link available in the following ways.\n\n### gcloud CLI and Vertex AI SDK for Python\n\nWhen creating or uploading logs to a Vertex AI TensorBoard, the\ngcloud CLI and SDK output a link to the Vertex AI TensorBoard\ninstance.\n\n### Google Cloud console\n\nYou can access the TensorBoard web app using the Google Cloud console. \n\n### Experiments\n\nIf your Vertex AI TensorBoard is associated with a Vertex AI\nExperiment, which is automatic when a\n[default instance](/vertex-ai/docs/experiments/tensorboard-setup#use_default_instance)\nis involved, you can access the TensorBoard web app directly from the Experiments page.\n\n### Custom training\n\nIf you used Vertex AI TensorBoard with\n[custom training](/vertex-ai/docs/experiments/tensorboard-training)\nyou can access the TensorBoard web app directly from the custom training job.\n\n1. In the Vertex AI section of the Google Cloud console, go to the **Training** page. [Go to Training](https://console.cloud.google.com/vertex-ai/training)\n2. Click **Custom Jobs** tab.\n3. Select your training job from the list of training runs. The details page appears\n4. Click the **Open TensorBoard** button. \n\n### Vertex AI Pipelines\n\nIf you used Vertex AI TensorBoard with [Vertex AI Pipelines](/vertex-ai/docs/experiments/tensorboard-with-pipelines), the TensorBoard web app can be accessed\ndirectly from the component information display.\n\n1. In the Vertex AI section of the Google Cloud console, go to the **Pipelines** page. [Go to Pipelines](https://console.cloud.google.com/vertex-ai/pipelines)\n2. From the pipelines tab, scroll or filter the pipeline list to find your pipeline.\n3. On the pipeline display select the component where TensorBoard metrics are captured, typically the training component.\n4. Select the **Open TensorBoard** button in the upper right. \n\nVisualize Vertex AI TensorBoard metrics in the Google Cloud console\n-------------------------------------------------------------------\n\nIf your TensorBoard instance is associated with a\nVertex AI Experiments, which is automatic when using a\n[default TensorBoard instance](/vertex-ai/docs/experiments/tensorboard-setup#use_default_instance), certain\nmetrics can be visualized directly in the Google Cloud console, without using\nthe web application.\n\nThe [Compare and analyze runs](/vertex-ai/docs/experiments/compare-analyze-runs#console-compare-analyze-runs)\ndocument describes how to view details of your experiment runs and compare\nthe experiment runs to each other in the Google Cloud console.\nTensorBoard timeseries metrics appear under the **Charts** tab in the navigation\nbar of the Vertex AI Experiments console."]]
