diff options
Diffstat (limited to 'applications/baremetal/main.cpp')
| -rw-r--r-- | applications/baremetal/main.cpp | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/applications/baremetal/main.cpp b/applications/baremetal/main.cpp new file mode 100644 index 0000000..e1e01de --- /dev/null +++ b/applications/baremetal/main.cpp @@ -0,0 +1,84 @@ +/* + * 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 + * + * 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 + ****************************************************************************/ + +// NPU driver +#include "ethosu_driver.h" +// Inference process +#include "inference_process.hpp" +// System includes +#include <stdio.h> +#include <vector> + +// Model data +#include "input.h" +#include "model.h" +#include "output.h" + +using namespace std; + +/**************************************************************************** + * InferenceJob + ****************************************************************************/ + +#ifndef TENSOR_ARENA_SIZE +#define TENSOR_ARENA_SIZE 2000000 +#endif + +__attribute__((section(".bss.tensor_arena"), aligned(16))) uint8_t TFLuTensorArena[TENSOR_ARENA_SIZE]; + +InferenceProcess::InferenceProcess inferenceProcess(TFLuTensorArena, TENSOR_ARENA_SIZE); + +uint8_t outputData[176] __attribute__((aligned(16), section("output_data_sec"))); + +int runInference() { + // Load inference data + vector<InferenceProcess::DataPtr> input; + input.push_back(InferenceProcess::DataPtr(inputData, sizeof(inputData))); + + vector<InferenceProcess::DataPtr> output; + output.push_back(InferenceProcess::DataPtr(outputData, sizeof(outputData))); + + vector<InferenceProcess::DataPtr> expected; + expected.push_back(InferenceProcess::DataPtr(expectedOutputData, sizeof(expectedOutputData))); + + // Create job + InferenceProcess::InferenceJob job(string(modelName), + InferenceProcess::DataPtr(networkModelData, sizeof(networkModelData)), + input, + output, + expected, + 512, + std::vector<uint8_t>(4), + false); + + // Run job + bool failed = inferenceProcess.runJob(job); + printf("Status of executed job: "); + printf(failed ? "Failed\n" : "Success\n"); + + return failed; +} + +int main() { + int ret = runInference(); + return ret; +}
\ No newline at end of file |