Lucas RayanandAntigravity
c1bd2c7e11
- Translate content to English across messages/en.json, data/en, lib/data/en, and public/exemplos/en - Implement localized routing, slugs, and language negotiation with fallback to en - Build dedicated search index for English with strict book exclusion - Update components and pages to dynamically render localized strings and datasets - Verify full structural parity and exact 1:1 match on Portuguese pages via comparator Co-Authored-By: Antigravity <noreply@google.com>
45 lines
1.1 KiB
C
45 lines
1.1 KiB
C
#include <stdio.h>
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#include "esp_nn.h"
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#include "esp_nn_defs.h"
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#define INPUT_SIZE 4
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#define OUTPUT_SIZE 3
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void print_array(const char *label, int16_t *array, int size) {
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printf("%s: ", label);
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for (int i = 0; i < size; i++) {
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printf("%d ", array[i]);
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}
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printf("\n");
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}
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void app_main(void)
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{
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// Vetor de entrada (ex: saída de uma camada anterior)
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int16_t input[INPUT_SIZE] = {1, 2, 3, 4};
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// Pesos da camada densa (3x4)
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int8_t weights[OUTPUT_SIZE * INPUT_SIZE] = {
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1, -1, 2, 0,
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0, 1, -1, 1,
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2, 0, 1, -2
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};
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// Bias de cada neurônio
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int16_t bias[OUTPUT_SIZE] = {10, -5, 0};
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// Saída
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int16_t output[OUTPUT_SIZE];
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// Multiplicação da matriz: output = weights * input + bias
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esp_nn_mul_mat_16x8_16(weights, input, bias, output,
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OUTPUT_SIZE, INPUT_SIZE, /*shift=*/0);
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print_array("Antes da ReLU", output, OUTPUT_SIZE);
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// Aplicar função de ativação ReLU
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esp_nn_relu_16(output, OUTPUT_SIZE);
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print_array("Depois da ReLU", output, OUTPUT_SIZE);
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}
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