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Batch deployment input details for Tensorflow models
Follow these rules when you are specifying input details for batch deployments of Tensorflow models.
Data type summary table:
| Data | Description |
|---|---|
| Type | inline, data references |
| File formats | .zip archive that contains JSON files |
Data Sources
Input/output data references:
- Local/managed assets from the space
- Connected (remote) assets: Cloud Object Storage and Storage Volumes
If you are specifying input/output data references programmatically:
- Data source reference
typedepends on the asset type. Refer to the Data source reference types section in Adding data assets to a deployment space.
Notes:
- The environment variables parameter of deployment jobs is not applicable.
- For connections of type Cloud Object Storage or Cloud Object Storage (infrastructure), you must configure Access key and Secret key, also known as HMAC credentials.
Parent topic: Batch deployment input details by framework