* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include <cstdint>
#include <vector>
#include "acl/acl.h"
#include "acl/acl_tdt.h"
#include "2_advanced_features/tdt_common_utils.h"
#include "utils.h"
namespace {
int DumpDataset(const acltdtDataset *dataset)
{
const size_t datasetSize = acltdtGetDatasetSize(dataset);
INFO_LOG("Dataset size: %zu", datasetSize);
if (datasetSize == 0) {
return 0;
}
acltdtDataItem *item = acltdtGetDataItem(dataset, 0);
if (item == nullptr) {
ERROR_LOG("acltdtGetDataItem returned nullptr");
return -1;
}
const size_t dimNum = acltdtGetDimNumFromItem(item);
std::vector<int64_t> dims(dimNum, 0);
if (dimNum > 0) {
CHECK_ERROR(acltdtGetDimsFromItem(item, dims.data(), dimNum));
}
float *tensorData = static_cast<float *>(acltdtGetDataAddrFromItem(item));
INFO_LOG(
"Tensor type=%d, data type=%d, bytes=%zu, dims=(%lld, %lld), firstValue=%.3f",
static_cast<int32_t>(acltdtGetTensorTypeFromItem(item)),
static_cast<int32_t>(acltdtGetDataTypeFromItem(item)),
acltdtGetDataSizeFromItem(item),
static_cast<long long>(dimNum > 0 ? dims[0] : 0),
static_cast<long long>(dimNum > 1 ? dims[1] : 0),
tensorData == nullptr ? 0.0F : tensorData[0]);
return 0;
}
}
int main()
{
const uint32_t deviceId = 0;
constexpr size_t kChannelCapacity = 2;
constexpr int32_t kTimeoutMs = 1000;
std::vector<float> hostTensor = {1.0F, 2.0F, 3.0F, 4.0F};
acltdtDataset *sendDataset = nullptr;
acltdtDataset *recvDataset = nullptr;
acltdtChannelHandle *channel = nullptr;
bool aclInitialized = false;
bool deviceSet = false;
const int32_t result = [&]() -> int32_t {
CHECK_ERROR(aclInit(nullptr));
aclInitialized = true;
CHECK_ERROR(aclrtSetDevice(deviceId));
deviceSet = true;
channel = acltdtCreateChannelWithCapacity(deviceId, "simple_tdt_channel", kChannelCapacity);
if (channel == nullptr) {
WARN_LOG(
"acltdtCreateChannelWithCapacity returned nullptr: this sample needs a queue-backed TDT channel "
"so it can send and receive within one host process");
return 0;
}
sendDataset = tdt::CreateFloatDataset(hostTensor);
if (!tdt::CheckNotNull(sendDataset, "sendDataset")) {
return -1;
}
recvDataset = acltdtCreateDataset();
if (!tdt::CheckNotNull(recvDataset, "acltdtCreateDataset")) {
return -1;
}
if (DumpDataset(sendDataset) != 0) {
return -1;
}
CHECK_ERROR(acltdtSendTensor(channel, sendDataset, kTimeoutMs));
size_t channelSize = 0;
CHECK_ERROR(acltdtQueryChannelSize(channel, &channelSize));
INFO_LOG("Channel size after send: %zu", channelSize);
CHECK_ERROR(acltdtReceiveTensor(channel, recvDataset, kTimeoutMs));
if (DumpDataset(recvDataset) != 0) {
return -1;
}
CHECK_ERROR(acltdtQueryChannelSize(channel, &channelSize));
INFO_LOG("Channel size after receive: %zu", channelSize);
return 0;
}();
int32_t finalResult = result;
if (channel != nullptr) {
tdt::UpdateFinalResultOnError("acltdtCleanChannel(channel)", acltdtCleanChannel(channel), finalResult);
tdt::UpdateFinalResultOnError("acltdtStopChannel(channel)", acltdtStopChannel(channel), finalResult);
tdt::UpdateFinalResultOnError("acltdtDestroyChannel(channel)", acltdtDestroyChannel(channel), finalResult);
}
tdt::DestroyDataset(recvDataset);
tdt::DestroyDatasetAndItems(sendDataset);
if (deviceSet) {
tdt::UpdateFinalResultOnError(
"aclrtResetDeviceForce(static_cast<int32_t>(deviceId))",
aclrtResetDeviceForce(static_cast<int32_t>(deviceId)),
finalResult);
}
if (aclInitialized) {
tdt::UpdateFinalResultOnError("aclFinalize()", aclFinalize(), finalResult);
}
if (finalResult == 0 && channel != nullptr) {
INFO_LOG("Run the simple_channel sample successfully.");
}
return finalResult;
}