mirror of
https://github.com/Evolution-X/hardware_interfaces
synced 2026-02-01 11:36:00 +00:00
61f508e018
Prior to this change, whenever the NN utility code encountered a HIDL transport error, the error message would display the file and line number of the "handleTransportError" function itself. This change introduces a new macro "HANDLE_TRANSPORT_FAILURE" that handles the transport error in a similar way but now the error message displays the file and line number of where the macro is called. Bug: N/A Test: mma Change-Id: I35b34f8f5be52b7fcff0fbb58a37ab2b8c7dd8bb
92 lines
3.3 KiB
C++
92 lines
3.3 KiB
C++
/*
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* Copyright (C) 2020 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "Buffer.h"
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#include <android/hardware/neuralnetworks/1.0/types.h>
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#include <android/hardware/neuralnetworks/1.1/types.h>
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#include <android/hardware/neuralnetworks/1.2/types.h>
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#include <android/hardware/neuralnetworks/1.3/IBuffer.h>
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#include <android/hardware/neuralnetworks/1.3/types.h>
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#include <nnapi/IPreparedModel.h>
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#include <nnapi/Result.h>
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#include <nnapi/Types.h>
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#include <nnapi/hal/1.0/Conversions.h>
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#include <nnapi/hal/HandleError.h>
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#include "Conversions.h"
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#include "Utils.h"
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#include <memory>
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#include <utility>
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namespace android::hardware::neuralnetworks::V1_3::utils {
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nn::GeneralResult<std::shared_ptr<const Buffer>> Buffer::create(
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sp<V1_3::IBuffer> buffer, nn::Request::MemoryDomainToken token) {
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if (buffer == nullptr) {
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return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
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<< "V1_3::utils::Buffer::create must have non-null buffer";
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}
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if (token == static_cast<nn::Request::MemoryDomainToken>(0)) {
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return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
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<< "V1_3::utils::Buffer::create must have non-zero token";
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}
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return std::make_shared<const Buffer>(PrivateConstructorTag{}, std::move(buffer), token);
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}
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Buffer::Buffer(PrivateConstructorTag /*tag*/, sp<V1_3::IBuffer> buffer,
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nn::Request::MemoryDomainToken token)
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: kBuffer(std::move(buffer)), kToken(token) {
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CHECK(kBuffer != nullptr);
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CHECK(kToken != static_cast<nn::Request::MemoryDomainToken>(0));
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}
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nn::Request::MemoryDomainToken Buffer::getToken() const {
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return kToken;
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}
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nn::GeneralResult<void> Buffer::copyTo(const nn::Memory& dst) const {
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const auto hidlDst = NN_TRY(convert(dst));
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const auto ret = kBuffer->copyTo(hidlDst);
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const auto status = HANDLE_TRANSPORT_FAILURE(ret);
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if (status != ErrorStatus::NONE) {
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const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
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return NN_ERROR(canonical) << "IBuffer::copyTo failed with " << toString(status);
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}
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return {};
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}
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nn::GeneralResult<void> Buffer::copyFrom(const nn::Memory& src,
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const nn::Dimensions& dimensions) const {
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const auto hidlSrc = NN_TRY(convert(src));
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const auto hidlDimensions = hidl_vec<uint32_t>(dimensions);
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const auto ret = kBuffer->copyFrom(hidlSrc, hidlDimensions);
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const auto status = HANDLE_TRANSPORT_FAILURE(ret);
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if (status != ErrorStatus::NONE) {
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const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
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return NN_ERROR(canonical) << "IBuffer::copyFrom failed with " << toString(status);
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}
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return {};
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}
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} // namespace android::hardware::neuralnetworks::V1_3::utils
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