Platforms to show: All Mac Windows Linux Cross-Platform
Back to MLModelConfigurationMBS class.
MLModelConfigurationMBS.allowLowPrecisionAccumulationOnGPU as Boolean
Type | Topic | Plugin | Version | macOS | Windows | Linux | iOS | Targets |
property | CoreML | MBS Mac64bit Plugin | 20.0 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | All |
(Read and Write property)
MLModelConfigurationMBS.computeUnits as Integer
Type | Topic | Plugin | Version | macOS | Windows | Linux | iOS | Targets |
property | CoreML | MBS Mac64bit Plugin | 20.0 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | All |
(Read and Write property)
Some examples using this property:
MLModelConfigurationMBS.Handle as Integer
Type | Topic | Plugin | Version | macOS | Windows | Linux | iOS | Targets |
property | CoreML | MBS Mac64bit Plugin | 20.0 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | All |
(Read and Write property)
MLModelConfigurationMBS.parameters as Dictionary
Type | Topic | Plugin | Version | macOS | Windows | Linux | iOS | Targets |
property | CoreML | MBS Mac64bit Plugin | 20.0 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | All |
(Read and Write property)
MLModelConfigurationMBS.preferredMetalDevice as Integer
Type | Topic | Plugin | Version | macOS | Windows | Linux | iOS | Targets |
property | CoreML | MBS Mac64bit Plugin | 20.0 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | All |
If preferredMetalDevice is 0, the default value, Core ML chooses a metal device for you.
Until we have a class for MLDevice, you pass the handle here directly.
(Read and Write property)
The items on this page are in the following plugins: MBS Mac64bit Plugin.