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// Copyright 2024 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// This file is copied from
// https://source.chromium.org/chromiumos/chromiumos/codesearch/+/main:src/platform2/odml/mojom/mantis_service.mojom
// Doc: go/mantis-bl-dd
module mantis.mojom;
import "chromeos/ash/components/mantis/mojom/mantis_processor.mojom";
import "chromeos/services/machine_learning/public/mojom/text_classifier.mojom";
import "mojo/public/mojom/base/uuid.mojom";
// The feature status used to restrict Mantis functionality if applicable.
[Stable, Extensible]
enum MantisFeatureStatus {
[Default] kDeviceNotSupported,
kARCVMDisabled,
kAvailable,
};
// The model initialization result.
[Stable, Extensible]
enum InitializeResult {
kSuccess,
kGpuBlocked,
[Default] kFailedToLoadLibrary,
[MinVersion=2] kFailedToLoadSafetyService,
};
// An observer to report the current platform model loading progress.
[Stable]
interface PlatformModelProgressObserver {
// The progress value is between 0.0 and 1.0.
Progress@0(double progress);
};
// Interface for checking Mantis feature availability and initialize it if
// available.
// The availability is based on device type, user account, and others.
//
// This interface is served by `odmld` process in CrOS to be used by image
// editing UI (e.g. Media App WebUI).
[Stable]
interface MantisService {
// Gets Mantis feature status which can be used to restrict Mantis
// functionality by returning a status other than kAvailable.
[MinVersion=1]
GetMantisFeatureStatus@1() => (MantisFeatureStatus status);
// Loads the assets from DLC and initializes the processor for subsequent
// queries. The model loading progress can be observed by `progress_observer`.
// The `dlc_uuid` is used to fetch the specific ML model assets.
Initialize@0(
pending_remote<PlatformModelProgressObserver>? progress_observer,
pending_receiver<MantisProcessor> processor,
[MinVersion=3] mojo_base.mojom.Uuid? dlc_uuid,
[MinVersion=4]
pending_remote<chromeos.machine_learning.mojom.TextClassifier>?
text_classifier) => (InitializeResult result);
};
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