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 or data references |
| File formats | .zip archive that contains JSON files |
Data sources
Input or output data references:
- Local or managed assets from the space
- Connected (remote) assets in cloud storage
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 cloud storage connections such as Cloud Object Storage, you must configure Access key and Secret key, also known as HMAC credentials.