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// Copyright 2020 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "chrome/browser/ash/power/ml/smart_dim/download_worker.h"
#include "base/functional/bind.h"
#include "base/functional/callback.h"
#include "base/task/task_traits.h"
#include "chrome/browser/ash/power/ml/smart_dim/metrics.h"
#include "chrome/browser/ash/power/ml/smart_dim/ml_agent_util.h"
#include "chromeos/services/machine_learning/public/cpp/service_connection.h"
#include "components/assist_ranker/proto/example_preprocessor.pb.h"
#include "content/public/browser/browser_task_traits.h"
#include "content/public/browser/browser_thread.h"
#include "ui/base/resource/resource_bundle.h"
namespace ash {
namespace power {
namespace ml {
namespace {
using chromeos::machine_learning::mojom::FlatBufferModelSpec;
} // namespace
DownloadWorker::DownloadWorker() : SmartDimWorker(), metrics_model_name_("") {}
DownloadWorker::~DownloadWorker() = default;
const assist_ranker::ExamplePreprocessorConfig*
DownloadWorker::GetPreprocessorConfig() {
return preprocessor_config_.get();
}
const mojo::Remote<chromeos::machine_learning::mojom::GraphExecutor>&
DownloadWorker::GetExecutor() {
return executor_;
}
void DownloadWorker::LoadModelCallback(
chromeos::machine_learning::mojom::LoadModelResult result) {
if (result != chromeos::machine_learning::mojom::LoadModelResult::OK) {
LogLoadComponentEvent(LoadComponentEvent::kLoadModelError);
DVLOG(1) << "Failed to load Smart Dim flatbuffer model.";
}
}
void DownloadWorker::CreateGraphExecutorCallback(
chromeos::machine_learning::mojom::CreateGraphExecutorResult result) {
if (result !=
chromeos::machine_learning::mojom::CreateGraphExecutorResult::OK) {
LogLoadComponentEvent(LoadComponentEvent::kCreateGraphExecutorError);
DVLOG(1) << "Failed to create a Smart Dim graph executor.";
} else {
LogLoadComponentEvent(LoadComponentEvent::kSuccess);
}
}
bool DownloadWorker::IsReady() {
return preprocessor_config_ && model_ && executor_ &&
expected_feature_size_ > 0 && metrics_model_name_ != "";
}
void DownloadWorker::InitializeFromComponent(
const ComponentFileContents& contents) {
DCHECK_CURRENTLY_ON(content::BrowserThread::UI);
auto [metadata_json, preprocessor_proto, model_flatbuffer] = contents;
preprocessor_config_ =
std::make_unique<assist_ranker::ExamplePreprocessorConfig>();
if (!preprocessor_config_->ParseFromString(preprocessor_proto)) {
LogLoadComponentEvent(LoadComponentEvent::kLoadPreprocessorError);
DVLOG(1) << "Failed to load preprocessor_config.";
preprocessor_config_.reset();
return;
}
// Meta data contains necessary info to construct FlatBufferModelSpec, and
// other optional info.
data_decoder::DataDecoder::ParseJsonIsolated(
std::move(metadata_json),
base::BindOnce(&DownloadWorker::OnJsonParsed, base::Unretained(this),
std::move(model_flatbuffer)));
}
void DownloadWorker::SetOnReadyForTest(base::OnceClosure on_ready) {
on_ready_for_test_ = std::move(on_ready);
}
void DownloadWorker::OnJsonParsed(
const std::string& model_flatbuffer,
const data_decoder::DataDecoder::ValueOrError result) {
DCHECK_CURRENTLY_ON(content::BrowserThread::UI);
if (!result.has_value() || !result->is_dict() ||
!ParseMetaInfoFromJsonObject(*result, &metrics_model_name_,
&dim_threshold_, &expected_feature_size_,
&inputs_, &outputs_)) {
LogLoadComponentEvent(LoadComponentEvent::kLoadMetadataError);
DVLOG(1) << "Failed to parse meta info from metadata_json.";
return;
}
content::GetUIThreadTaskRunner({base::TaskPriority::BEST_EFFORT})
->PostTask(
FROM_HERE,
base::BindOnce(&DownloadWorker::LoadModelAndCreateGraphExecutor,
base::Unretained(this), std::move(model_flatbuffer)));
}
void DownloadWorker::LoadModelAndCreateGraphExecutor(
const std::string& model_flatbuffer) {
DCHECK_CURRENTLY_ON(content::BrowserThread::UI);
DCHECK(!model_.is_bound() && !executor_.is_bound());
chromeos::machine_learning::ServiceConnection::GetInstance()
->GetMachineLearningService()
.LoadFlatBufferModel(
FlatBufferModelSpec::New(std::move(model_flatbuffer), inputs_,
outputs_, metrics_model_name_),
model_.BindNewPipeAndPassReceiver(),
base::BindOnce(&DownloadWorker::LoadModelCallback,
base::Unretained(this)));
model_->CreateGraphExecutor(
chromeos::machine_learning::mojom::GraphExecutorOptions::New(),
executor_.BindNewPipeAndPassReceiver(),
base::BindOnce(&DownloadWorker::CreateGraphExecutorCallback,
base::Unretained(this)));
executor_.set_disconnect_handler(base::BindOnce(
&DownloadWorker::OnConnectionError, base::Unretained(this)));
if (on_ready_for_test_) {
std::move(on_ready_for_test_).Run();
}
}
} // namespace ml
} // namespace power
} // namespace ash
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