blob: f227cc26ca172a20b66a1c35d3c57586bf47a68b [file] [log] [blame]
// Copyright 2020 The Chromium OS 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 is the boilerplate implementation of the IAllocator HAL interface,
// generated by the hidl-gen tool and then modified for use on Chrome OS.
// Modifications include:
// - Removal of non boiler plate client and server related code.
// - Reformatting to meet the Chrome OS coding standards.
//
// Originally generated with the command:
// $ hidl-gen -o output -L c++-adapter -r android.hardware:hardware/interfaces \
// android.hardware.neuralnetworks@1.1
#include <android/hardware/neuralnetworks/1.1/ADevice.h>
#include <android/hardware/neuralnetworks/1.0/ADevice.h>
#include <android/hardware/neuralnetworks/1.0/AExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.0/APreparedModel.h>
#include <android/hardware/neuralnetworks/1.0/APreparedModelCallback.h>
#include <android/hardware/neuralnetworks/1.1/IDevice.h>
#include <hidladapter/HidlBinderAdapter.h>
namespace android {
namespace hardware {
namespace neuralnetworks {
namespace V1_1 {
ADevice::ADevice(
const ::android::sp<::android::hardware::neuralnetworks::V1_1::IDevice>&
impl)
: mImpl(impl) {
} // Methods from ::android::hardware::neuralnetworks::V1_0::IDevice follow.
::android::hardware::Return<void> ADevice::getCapabilities(
getCapabilities_cb _hidl_cb) {
getCapabilities_cb _hidl_cb_wrapped =
[&](::android::hardware::neuralnetworks::V1_0::ErrorStatus status,
const ::android::hardware::neuralnetworks::V1_0::Capabilities&
capabilities) { return _hidl_cb(status, capabilities); };
auto _hidl_out = mImpl->getCapabilities(_hidl_cb_wrapped);
return _hidl_out;
}
::android::hardware::Return<void> ADevice::getSupportedOperations(
const ::android::hardware::neuralnetworks::V1_0::Model& model,
getSupportedOperations_cb _hidl_cb) {
getSupportedOperations_cb _hidl_cb_wrapped =
[&](::android::hardware::neuralnetworks::V1_0::ErrorStatus status,
const ::android::hardware::hidl_vec<bool>& supportedOperations) {
return _hidl_cb(status, supportedOperations);
};
auto _hidl_out = mImpl->getSupportedOperations(model, _hidl_cb_wrapped);
return _hidl_out;
}
::android::hardware::Return<
::android::hardware::neuralnetworks::V1_0::ErrorStatus>
ADevice::prepareModel(
const ::android::hardware::neuralnetworks::V1_0::Model& model,
const ::android::sp<
::android::hardware::neuralnetworks::V1_0::IPreparedModelCallback>&
callback) {
auto _hidl_out = mImpl->prepareModel(
model,
static_cast<::android::sp<
::android::hardware::neuralnetworks::V1_0::IPreparedModelCallback>>(
::android::hardware::neuralnetworks::V1_0::IPreparedModelCallback::
castFrom(::android::hardware::details::adaptWithDefault(
static_cast<
::android::sp<::android::hardware::neuralnetworks::V1_0::
IPreparedModelCallback>>(callback),
[&] {
return new ::android::hardware::neuralnetworks::V1_0::
APreparedModelCallback(callback);
}))));
if (!_hidl_out.isOkUnchecked()) {
return _hidl_out;
}
return _hidl_out;
}
::android::hardware::Return<
::android::hardware::neuralnetworks::V1_0::DeviceStatus>
ADevice::getStatus() {
auto _hidl_out = mImpl->getStatus();
if (!_hidl_out.isOkUnchecked()) {
return _hidl_out;
}
return _hidl_out;
}
// Methods from ::android::hardware::neuralnetworks::V1_1::IDevice follow.
::android::hardware::Return<void> ADevice::getCapabilities_1_1(
getCapabilities_1_1_cb _hidl_cb) {
getCapabilities_1_1_cb _hidl_cb_wrapped =
[&](::android::hardware::neuralnetworks::V1_0::ErrorStatus status,
const ::android::hardware::neuralnetworks::V1_1::Capabilities&
capabilities) { return _hidl_cb(status, capabilities); };
auto _hidl_out = mImpl->getCapabilities_1_1(_hidl_cb_wrapped);
return _hidl_out;
}
::android::hardware::Return<void> ADevice::getSupportedOperations_1_1(
const ::android::hardware::neuralnetworks::V1_1::Model& model,
getSupportedOperations_1_1_cb _hidl_cb) {
getSupportedOperations_1_1_cb _hidl_cb_wrapped =
[&](::android::hardware::neuralnetworks::V1_0::ErrorStatus status,
const ::android::hardware::hidl_vec<bool>& supportedOperations) {
return _hidl_cb(status, supportedOperations);
};
auto _hidl_out = mImpl->getSupportedOperations_1_1(model, _hidl_cb_wrapped);
return _hidl_out;
}
::android::hardware::Return<
::android::hardware::neuralnetworks::V1_0::ErrorStatus>
ADevice::prepareModel_1_1(
const ::android::hardware::neuralnetworks::V1_1::Model& model,
::android::hardware::neuralnetworks::V1_1::ExecutionPreference preference,
const ::android::sp<
::android::hardware::neuralnetworks::V1_0::IPreparedModelCallback>&
callback) {
auto _hidl_out = mImpl->prepareModel_1_1(
model, preference,
static_cast<::android::sp<
::android::hardware::neuralnetworks::V1_0::IPreparedModelCallback>>(
::android::hardware::neuralnetworks::V1_0::IPreparedModelCallback::
castFrom(::android::hardware::details::adaptWithDefault(
static_cast<
::android::sp<::android::hardware::neuralnetworks::V1_0::
IPreparedModelCallback>>(callback),
[&] {
return new ::android::hardware::neuralnetworks::V1_0::
APreparedModelCallback(callback);
}))));
if (!_hidl_out.isOkUnchecked()) {
return _hidl_out;
}
return _hidl_out;
}
// Methods from ::android::hidl::base::V1_0::IBase follow.
} // namespace V1_1
} // namespace neuralnetworks
} // namespace hardware
} // namespace android