Receive info back about the earlier uploaded pretrained model (via uploadPretrainedModel) input/output tensors. If you want to deploy a pretrained model from the API, see startDeployPretrainedModelJob.
Project ID
Impulse ID. If this is unset then the default impulse is used.
OK
Whether the operation succeeded
Optional error description (set if 'success' was false)
Whether a specific device was selected for performance profiling
The types of model that are available
Estimated amount of RAM required by the model, measured in bytes
Estimated amount of ROM required by the model, measured in bytes
Estimated arena size required for model inference, measured in bytes
Estimated amount of RAM required by the model, measured in bytes
Estimated amount of ROM required by the model, measured in bytes
Estimated arena size required for model inference, measured in bytes
Estimated amount of RAM required by the model, measured in bytes
Estimated amount of ROM required by the model, measured in bytes
Estimated arena size required for model inference, measured in bytes
Estimated amount of RAM required by the model, measured in bytes
Estimated amount of ROM required by the model, measured in bytes
Estimated arena size required for model inference, measured in bytes
Estimated amount of RAM required by the model, measured in bytes
Estimated amount of ROM required by the model, measured in bytes
Estimated arena size required for model inference, measured in bytes
Estimated amount of RAM required by the model, measured in bytes
Estimated amount of ROM required by the model, measured in bytes
Estimated arena size required for model inference, measured in bytes
Performance for a range of device types. Note that MPU is referred to as CPU in Studio, as MPU and CPU are treated equivalent for performance estimation.