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// Copyright 2018 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// This file contains the main interface of the Machine Learning API.
// The interfaces and methods declared here allow clients to load a model and
// execute inference on it.
module chromeos.learning.mojom;
import "learning_example.mojom";
import "model.mojom";
interface GraphExecutor {
Execute(map<string, Tensor> examples, array<string> output_names)
=> (array<Tensor> scores);
};
// The lifetime of the cached model is tied to the lifetime of the Model
// interface pipe. The Model interface pipe can be used to acquire multiple
// separate GraphExecutor instances.
interface Model {
CreateGraphExecutor(GraphExecutor& request);
};
interface ModelProvider {
// The ModelId inside ModelSpec is used to specify the model to be loaded.
LoadModel(ModelSpec spec, Model& request);
};
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