#include #include #include "../common/common.h" #define CONFIG_BIN "./trainer_config.bin" int main() { // Initalize Paddle char* argv[] = {"--use_gpu=False"}; CHECK(paddle_init(1, (char**)argv)); // Reading config binary file. It is generated by `convert_protobin.sh` long size; void* buf = read_config(CONFIG_BIN, &size); // Create a gradient machine for inference. paddle_gradient_machine machine; CHECK(paddle_gradient_machine_create_for_inference(&machine, buf, (int)size)); CHECK(paddle_gradient_machine_randomize_param(machine)); // Loading parameter. Uncomment the following line and change the directory. // CHECK(paddle_gradient_machine_load_parameter_from_disk(machine, // "./some_where_to_params")); paddle_arguments in_args = paddle_arguments_create_none(); // There is only one input of this network. CHECK(paddle_arguments_resize(in_args, 1)); // Create input ids. int sentence_ids[] = {83, 48, 20, 84, 394, 853, 64, 53, 64}; paddle_ivector sentence = paddle_ivector_create( sentence_ids, sizeof(sentence_ids) / sizeof(int), false, false); CHECK(paddle_arguments_set_ids(in_args, 0, sentence)); int seq_pos_array[] = {0, sizeof(sentence_ids) / sizeof(int)}; paddle_ivector seq_pos = paddle_ivector_create( seq_pos_array, sizeof(seq_pos_array) / sizeof(int), false, false); CHECK(paddle_arguments_set_sequence_start_pos(in_args, 0, 0, seq_pos)); paddle_arguments out_args = paddle_arguments_create_none(); CHECK(paddle_gradient_machine_forward(machine, in_args, out_args, /* isTrain */ false)); paddle_matrix prob = paddle_matrix_create_none(); CHECK(paddle_arguments_value(out_args, 0, prob)); paddle_real* array; CHECK(paddle_matrix_get_row(prob, 0, &array)); printf("Prob: "); for (int i = 0; i < 2; ++i) { printf("%.2f ", array[i]); } printf("\n"); CHECK(paddle_matrix_destroy(prob)); CHECK(paddle_arguments_destroy(out_args)); CHECK(paddle_ivector_destroy(seq_pos)); CHECK(paddle_ivector_destroy(sentence)); CHECK(paddle_arguments_destroy(in_args)); CHECK(paddle_gradient_machine_destroy(machine)); return 0; }