Join the newly launched Discord
community for real-time discussions, peer support, and direct interaction with the Meridian team!
meridian.model.media.build_media_tensors
Stay organized with collections
Save and categorize content based on your preferences.
Derives a MediaTensors container from media values in given input data.
meridian
.
model
.
media
.
build_media_tensors
(
input_data
:
meridian
.
data
.
input_data
.
InputData
,
model_spec
:
meridian
.
model
.
spec
.
ModelSpec
)
->
meridian
.
model
.
media
.
MediaTensors
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License
, and code samples are licensed under the Apache 2.0 License
. For details, see the Google Developers Site Policies
. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-09-05 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-05 UTC."],[[["\u003cp\u003eThis function, \u003ccode\u003ebuild_media_tensors\u003c/code\u003e, creates a \u003ccode\u003eMediaTensors\u003c/code\u003e container.\u003c/p\u003e\n"],["\u003cp\u003eThe function utilizes \u003ccode\u003eInputData\u003c/code\u003e and \u003ccode\u003eModelSpec\u003c/code\u003e as input.\u003c/p\u003e\n"],["\u003cp\u003eThe output is a \u003ccode\u003eMediaTensors\u003c/code\u003e object.\u003c/p\u003e\n"],["\u003cp\u003eThe source code of the function can be found on GitHub.\u003c/p\u003e\n"]]],["This function, `build_media_tensors`, processes input data to create a `MediaTensors` container. It takes two arguments: `input_data` and `model_spec`. The function's core purpose is to derive media values from the provided `input_data` and utilize the `model_spec` to organize them within the `MediaTensors` structure. The result of the operation is a `MediaTensors` object, containing the derived media data.\n"],null,["\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/meridian/blob/v1.2.0/meridian/model/media.py#L95-L161) |\n\nDerives a MediaTensors container from media values in given input data. \n\n meridian.model.media.build_media_tensors(\n input_data: ../../../meridian/data/input_data/InputData.md,\n model_spec: ../../../meridian/model/spec/ModelSpec.md\n ) -\u003e ../../../meridian/model/media/MediaTensors.md"]]
