#include #include #include #include #include "nn.h" const size_t MAX_FILE_SIZE = 1<<29; // 0.5 GiB typedef struct Array { double *data; size_t shape[2]; } Array; #define ARRAY_SIZE(x, type) sizeof(x) / sizeof(type) Layer neural[] = { {.neurons = 3, .activation = relu}, {.neurons = 1, .activation = sigmoid}, }; static Array json_read(const char *filepath); Array json_read(const char *filepath) { Array out; FILE *fp; char *fp_buffer; size_t ret; int64_t fp_size; fp = fopen(filepath, "r"); if (fp == NULL) goto json_read_error; ret = (size_t)fseek(fp, 0L, SEEK_END); if ((int)ret == -1) goto json_read_error; fp_size = ftell(fp); if (fp_size == -1) goto json_read_error; if (fp_size >= MAX_FILE_SIZE) { fprintf(stderr, "ftell Error(): '%s' size greater than '%zu'\n", filepath, MAX_FILE_SIZE); } rewind(fp); fp_buffer = calloc(sizeof(char), fp_size); if (fp_buffer == NULL) goto json_read_error; ret = fread(fp_buffer, sizeof(char), (size_t)fp_size, fp); if (ret != (size_t)fp_size) { fprintf(stderr, "json_read() Error: fread bytes '%zd' does not match with buffer size '%zd'", ret, (size_t)fp_size); exit(1); } json_object *json_obj; json_obj = json_tokener_parse(fp_buffer); size_t json_obj_length = json_object_array_length(json_obj); out.shape[0] = (size_t)json_obj_length; out.shape[1] = 4; out.data = calloc(out.shape[0] * out.shape[1], sizeof(out.data[0])); for (int i = 0; i < json_object_array_length(json_obj); i++) { json_object *item = json_object_array_get_idx(json_obj, i); out.data[4*i] = json_object_get_double(json_object_object_get(item, "area")); out.data[4*i + 1] = json_object_get_double(json_object_object_get(item, "longitude")); out.data[4*i + 2] = json_object_get_double(json_object_object_get(item, "latitude")); out.data[4*i + 3] = json_object_get_double(json_object_object_get(item, "price")); } json_object_put(json_obj); fclose(fp); return out; json_read_error: perror("json_read() Error"); exit(1); } int main(void) { Array json_data = json_read("data/test.json"); nn_layer_init_weights(neural, ARRAY_SIZE(neural, Layer), 4); printf("neurons: %zu\n", neural[0].neurons); printf("input_notes: %zu\n", neural[0].input_nodes); double *out = nn_layer_forward(neural[0], json_data.data, json_data.shape); printf("rows: %zu\n", json_data.shape[0]); printf("cols: %zu\n", neural[0].neurons); for (size_t i = 0; i < neural[0].input_nodes; i++) { for (size_t j = 0; j < neural[0].neurons; j++) { size_t index = i * neural[0].neurons + j; printf("%4.2lf\t", out[index]); } printf("\n"); } nn_layer_free_weights(neural, 2); free(out); free(json_data.data); return 0; }