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/*
* Copyright (c) 2021 Arm Limited. All rights reserved.
* 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
*
* http://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.
*/
#include "hal.h" /* Brings in platform definitions. */
#include "TestModel.hpp" /* Model class for running inference. */
#include "UseCaseHandler.hpp" /* Handlers for different user options. */
#include "UseCaseCommonUtils.hpp" /* Utils functions. */
#include "log_macros.h" /* Logging functions */
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
namespace app {
static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
namespace inference_runner {
#if defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE)
static uint8_t* GetModelPointer()
{
info("Model pointer: 0x%08x\n", DYNAMIC_MODEL_BASE);
return reinterpret_cast<uint8_t*>(DYNAMIC_MODEL_BASE);
}
static size_t GetModelLen()
{
/* TODO: Can we get the actual model size here somehow?
* Currently we return the reserved space. It is possible to do
* so by reading the memory pattern but it will not be reliable. */
return static_cast<size_t>(DYNAMIC_MODEL_SIZE);
}
#else /* defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE) */
extern uint8_t* GetModelPointer();
extern size_t GetModelLen();
#endif /* defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE) */
} /* namespace inference_runner */
} /* namespace app */
} /* namespace arm */
enum opcodes
{
MENU_OPT_RUN_INF_NEXT = 1, /* Run on next vector. */
MENU_OPT_SHOW_MODEL_INFO, /* Show model info. */
};
void main_loop()
{
arm::app::TestModel model; /* Model wrapper object. */
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
arm::app::inference_runner::GetModelPointer(),
arm::app::inference_runner::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
}
/* Instantiate application context. */
arm::app::ApplicationContext caseContext;
arm::app::Profiler profiler{"inference_runner"};
caseContext.Set<arm::app::Profiler&>("profiler", profiler);
caseContext.Set<arm::app::Model&>("model", model);
caseContext.Set<uint32_t>("imgIndex", 0);
/* Loop. */
if (RunInferenceHandler(caseContext)) {
info("Inference completed.\n");
} else {
printf_err("Inference failed.\n");
}
}
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