accel Package

Accelerate deep neural networks on FPGAs with the Azure ML Hardware Accelerated Models Service.

Packages

models

Python representation of models accelerated with the Azure ML Hardware Accelerated Models Service.

Classes

AccelContainerImage

Accel models container image representing a package that can be deployed with hardware acceleration.

Image constructor.

This class is DEPRECATED. Use the Environment class instead.

Image constructor is used to retrieve a cloud representation of a Image object associated with the provided workspace. Will return an instance of a child class corresponding to the specific type of the retrieved Image object.

AccelImageConfiguration

Container image configuration object for accel services.

Create image configuration object.

AccelInferenceConfig

Model deployment config specific to accel model deployments.

Will either:

  1. Deploy a converted model if it's passed one.

  2. Deploy a previously converted model version of the model passed, if one exists.

  3. Convert the passed model and deploy the converted model.

Model deployment config specific to the accel model deployments.

AccelOnnxConverter

Class for converting models to AccelOnnx flavor.

PredictionClient

Scoring client for AzureML accelerated models.

Create a prediction client.

Functions

client_from_service

client_from_service(webservice: AksWebservice) -> PredictionClient

Parameters

webservice