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/*
* SPDX-FileCopyrightText: Copyright 2022-2023 Arm Limited and/or its affiliates <open-source-office@arm.com>
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use _this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*****************************************************************************
* Includes
*****************************************************************************/
#include <cinttypes>
#include <memory>
#include <stdio.h>
#include <ethosu_log.h>
#include <mailbox.hpp>
#if defined(MHU_V2)
#include <mhu_v2.hpp>
#elif defined(MHU_JUNO)
#include <mhu_juno.hpp>
#else
#include <mhu_dummy.hpp>
#endif
#include "inference_runner.hpp"
#include "message_handler.hpp"
#include "remoteproc.hpp"
/*****************************************************************************
* TFLM arena
*****************************************************************************/
// Number of parallell inference tasks. Typically one per NPU.
#if defined(ETHOSU) && defined(ETHOSU_NPU_COUNT) && ETHOSU_NPU_COUNT > 0
constexpr size_t NUM_PARALLEL_TASKS = ETHOSU_NPU_COUNT;
#else
constexpr size_t NUM_PARALLEL_TASKS = 1;
#endif
#ifndef TENSOR_ARENA_SIZE
#define TENSOR_ARENA_SIZE 2000000
#endif
// TensorArena static initialisation
constexpr size_t arenaSize = TENSOR_ARENA_SIZE;
/*****************************************************************************
* Resource table
*****************************************************************************/
extern "C" {
__attribute__((section(".resource_table"))) ResourceTable resourceTable(8, arenaSize *NUM_PARALLEL_TASKS);
}
/*****************************************************************************
* Mailbox
*****************************************************************************/
namespace {
#ifdef MHU_V2
Mailbox::MHUv2 mailbox(MHU_TX_BASE_ADDRESS, MHU_RX_BASE_ADDRESS); // txBase, rxBase
#elif defined(MHU_JUNO)
Mailbox::MHUJuno mailbox(MHU_BASE_ADDRESS);
#else
Mailbox::MHUDummy mailbox;
#endif
#ifdef MHU_IRQ
void mailboxIrqHandler() {
LOG_DEBUG("");
mailbox.handleMessage();
}
#endif
} // namespace
/*****************************************************************************
* main
*****************************************************************************/
int main() {
printf("Ethos-U Message Handler OpenAMP\n");
auto mem = std::make_shared<MetalIO>();
auto rproc = std::make_shared<RProc>(mailbox, resourceTable.table, sizeof(resourceTable), *mem);
auto messageHandler = std::make_shared<MessageHandler>(*rproc, "ethos-u-0.0");
printf("TFLM arena. pa=%" PRIx32 ", da=%" PRIx32 ", len=%" PRIx32 "\n",
resourceTable.carveout.da,
resourceTable.carveout.pa,
resourceTable.carveout.len);
std::array<std::shared_ptr<InferenceRunner>, NUM_PARALLEL_TASKS> inferenceRunner;
for (size_t i = 0; i < NUM_PARALLEL_TASKS; i++) {
auto tensorArena = static_cast<uint8_t *>(messageHandler->physicalToVirtual(resourceTable.carveout.pa));
inferenceRunner[i] = std::make_shared<InferenceRunner>(&tensorArena[arenaSize * i],
arenaSize,
messageHandler->getInferenceQueue(),
messageHandler->getResponseQueue());
}
#ifdef MHU_IRQ
// Register mailbox interrupt handler
NVIC_SetVector((IRQn_Type)MHU_IRQ, (uint32_t)&mailboxIrqHandler);
NVIC_EnableIRQ((IRQn_Type)MHU_IRQ);
#endif
// Start Scheduler
vTaskStartScheduler();
return 0;
}
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