# Edit Deployment Target

The Edit Deployment Target option is used to determine the type of runtime device for the Deep Learning workspace, and how the workspace should be optimized. By default, a PC is selected.

When set to CIE1, you must be connected to a supported Cognex inference engine device.

Note:

Changing to the CIE1 target will also affect parameter values in the workspace. There are certain restrictions when deployed on a Cognex inference engine target.

###### Workspace compatibility with a CIE1 target

- Images: Images must have an 8-bit bit depth, and a size that is less than 3500 pixels in either direction.

- Various parameter settings are affected, as detailed in the following table:

  Parameter Settings | Notes
  --- | ---
  Internal tool parameters | There are certain non-published tool parameters which will be set to specific values when a CIE1 target is enabled. If you have a previously created workspace, and change the deployment target to CIE1, you will be prompted to have these parameter settings updated. If you set the deployment target to CIE1 and create a new workspace, the tool parameter values will automatically be adjusted at the creation of the workspace.
  Color | The CIE1 target only supports 1 or 3 color channels.
  Network Model | The CIE1 target only supports the default value, Large.
  Masking Mode | The CIE1 target only supports the Transparent setting.
  Capacity | The CIE1 target does not support the Tiny setting.
  Use Baseline | Not supported.
  Centered | Not supported.
  Low Precision | Not supported.
  Iterations | The CIE1 target only supports a setting of 1.
  Legacy Mode | Not supported.

1. To access the dialog, select Edit Deployment Target from the Workspace menu.

2. Within the Edit Deployment Target dialog, select the type of device that will be used to deploy the runtime workspace.

3. Press the OK button to close the dialog and the workspace will then be optimized for the targeted deployment platform.