int main() {
// Initalize Paddle
char* argv[] = {"--use_gpu=True"};
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"));
srand(time(0));
pthread_mutex_init(&mutex, NULL);
pthread_t threads[NUM_THREAD];
for (int i = 0; i < NUM_THREAD; ++i) {
paddle_gradient_machine thread_local_machine;
CHECK(paddle_gradient_machine_create_shared_param(
machine, buf, size, &thread_local_machine));
pthread_create(&threads[i], NULL, thread_main, thread_local_machine);
}
for (int i = 0; i < NUM_THREAD; ++i) {
pthread_join(threads[i], NULL);
}
pthread_mutex_destroy(&mutex);
return 0;
}
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 matrix.
paddle_matrix mat = paddle_matrix_create(/* sample_num */ 1,
/* size */ 784,
/* useGPU */ false);
srand(time(0));
paddle_real* array;
// Get First row.
CHECK(paddle_matrix_get_row(mat, 0, &array));
for (int i = 0; i < 784; ++i) {
array[i] = rand() / ((float)RAND_MAX);
}
CHECK(paddle_arguments_set_value(in_args, 0, mat));
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_get_value(out_args, 0, prob));
uint64_t height;
uint64_t width;
CHECK(paddle_matrix_get_shape(prob, &height, &width));
CHECK(paddle_matrix_get_row(prob, 0, &array));
printf("Prob: \n");
for (int i = 0; i < height * width; ++i) {
printf("%.4f ", array[i]);
if ((i + 1) % width == 0) {
printf("\n");
}
}
printf("\n");
CHECK(paddle_matrix_destroy(prob));
CHECK(paddle_arguments_destroy(out_args));
CHECK(paddle_matrix_destroy(mat));
CHECK(paddle_arguments_destroy(in_args));
CHECK(paddle_gradient_machine_destroy(machine));
return 0;
}
int main() {
// Initalize Paddle
char* argv[] = {"--use_gpu=False"};
CHECK(paddle_init(1, (char**)argv));
// Read the binary configuration file which is generated by
// `convert_protobin.sh`
long size;
void* buf = read_config(CONFIG_BIN, &size);
// Create the 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));
// Load the trained parameters. Uncomment the following line and change the
// directory as needed.
// 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 the input matrix.
paddle_matrix mat = paddle_matrix_create_sparse(1, 784, 3, true, false);
srand(time(0));
paddle_real* array;
int colBuf[] = {9, 93, 109};
int rowBuf[] = {0, sizeof(colBuf) / sizeof(int)};
CHECK(paddle_matrix_sparse_copy_from(mat,
rowBuf,
sizeof(rowBuf) / sizeof(int),
colBuf,
sizeof(colBuf) / sizeof(int),
NULL,
0));
CHECK(paddle_arguments_set_value(in_args, 0, mat));
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_get_value(out_args, 0, prob));
CHECK(paddle_matrix_get_row(prob, 0, &array));
printf("Prob: ");
for (int i = 0; i < 10; ++i) {
printf("%.2f ", array[i]);
}
printf("\n");
CHECK(paddle_matrix_destroy(prob));
CHECK(paddle_arguments_destroy(out_args));
CHECK(paddle_matrix_destroy(mat));
CHECK(paddle_arguments_destroy(in_args));
CHECK(paddle_gradient_machine_destroy(machine));
return 0;
}
