forked from xuos/xiuos
98 lines
2.7 KiB
C++
98 lines
2.7 KiB
C++
#include <cstdio>
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// #include <transform.h>
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#include <stdio.h>
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#include "tensorflow/lite/micro/all_ops_resolver.h"
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#include "tensorflow/lite/micro/micro_error_reporter.h"
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#include "tensorflow/lite/micro/micro_interpreter.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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#include "tensorflow/lite/version.h"
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#include "digit.h"
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#include "model.h"
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namespace {
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tflite::ErrorReporter* error_reporter = nullptr;
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const tflite::Model* model = nullptr;
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tflite::MicroInterpreter* interpreter = nullptr;
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TfLiteTensor* input = nullptr;
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TfLiteTensor* output = nullptr;
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constexpr int kTensorArenaSize = 110 * 1024;
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uint8_t *tensor_arena = nullptr;
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//uint8_t tensor_arena[kTensorArenaSize];
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}
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extern "C" void mnist_app() {
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tflite::MicroErrorReporter micro_error_reporter;
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error_reporter = µ_error_reporter;
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model = tflite::GetModel(mnist_model);
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if (model->version() != TFLITE_SCHEMA_VERSION) {
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TF_LITE_REPORT_ERROR(error_reporter,
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"Model provided is schema version %d not equal "
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"to supported version %d.",
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model->version(), TFLITE_SCHEMA_VERSION);
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return;
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}
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tensor_arena = (uint8_t *)malloc(kTensorArenaSize);
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if (tensor_arena == nullptr) {
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TF_LITE_REPORT_ERROR(error_reporter, "malloc for tensor_arena failed");
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return;
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}
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tflite::AllOpsResolver resolver;
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tflite::MicroInterpreter static_interpreter(
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model, resolver, tensor_arena, kTensorArenaSize, error_reporter);
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interpreter = &static_interpreter;
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// Allocate memory from the tensor_arena for the model's tensors.
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TfLiteStatus allocate_status = interpreter->AllocateTensors();
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if (allocate_status != kTfLiteOk) {
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TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
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return;
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}
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input = interpreter->input(0);
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output = interpreter->output(0);
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printf("------- Input Digit -------\n");
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for (int i = 0; i < 28; i++) {
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for (int j = 0; j < 28; j++) {
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if (mnist_digit[i*28+j] > 0.3)
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printf("#");
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else
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printf(".");
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}
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printf("\n");
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}
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for (int i = 0; i < 28*28; i++) {
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input->data.f[i] = mnist_digit[i];
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}
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TfLiteStatus invoke_status = interpreter->Invoke();
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if (invoke_status != kTfLiteOk) {
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TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed on x_val\n");
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return;
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}
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// Read the predicted y value from the model's output tensor
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float max = 0.0;
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int index;
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for (int i = 0; i < 10; i++) {
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if(output->data.f[i]>max){
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max = output->data.f[i];
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index = i;
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}
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}
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printf("------- Output Result -------\n");
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printf("result is %d\n", index);
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}
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extern "C" {
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#ifdef __RT_THREAD_H__
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MSH_CMD_EXPORT(mnist_app, run mnist app);
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#endif
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}
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