Created by: kelvict

We have saved a model with paddle.v2 with python api. We can load the model with python API. But we fail to load it with C API Paddle.

Code to save paddle model with python API

def model_tf_2_paddle(input_w_mat, input_bias, feature_len, paddle_parameters,
                      cost, optimizer, inference_topo, count=None, output_path_prefix="./"):
    input_sample_num = 24
    self_build_data = []
    a0 = [1] * (feature_len + 1) * input_sample_num
    for index in xrange(len(a0)):
        a0[index] = 1 - random.random()
    a1 = np.array(a0)
    a2 = a1.reshape(input_sample_num, feature_len + 1)
    for item in a2:
        self_build_data.append((item[:-1], item[-1:]))

    def gen_data():
        for item in self_build_data:
            yield item[0], item[1]

    paddle_parameters.set("___fc_layer_0__.w0", input_w_mat)
    paddle_parameters.set("___fc_layer_0__.wbias", input_bias)

    trainer = paddle.trainer.SGD(cost=cost, parameters=paddle_parameters, update_equation=optimizer)
    feeding = {'x': 0, 'y': 1}

    trainer.train(
        reader=paddle.batch(paddle.reader.shuffle(gen_data, buf_size=500),batch_size=2),
        feeding=feeding,
        num_passes=0
    )
    if count is None:
        count_str = ""
    else:
        count_str = "_"+str(count)
    para_info_tar_path = output_path_prefix+"./"+'para_info'+count_str+".tar"
    with open(para_info_tar_path, 'wb') as f:
        trainer.save_parameter_to_tar(f)
    topo_path = output_path_prefix+"./"+'topo'+count_str+'.pkl'
    with open(topo_path, 'wb') as f:
        inference_topo.serialize_for_inference(f)

C API Code to load model

    fseek(file, 0L, SEEK_END);
    int file_size = ftell(file);
    fseek(file, 0L, SEEK_SET);
    void* file_buf = malloc(file_size);
    fread(file_buf, 1, file_size, file);
    fclose(file);

    paddle_gradient_machine gradient_machine;
    CHECK(paddle_gradient_machine_create_for_inference(&gradient_machine, file_buf, file_size));

Error Code

WARNING: 01-16 11:27:21:  bsr * 7319 [CvmPredict][create_gradient_machine() .....3] Invoke paddle error 3 in paddle_gradient_machine_create_for_inference(&gradient_machine, file_buf, file_size)