fluid.io.save_inference_model(dirname=path, feeded_var_names=['src_ids', "sent_ids","pos_ids", "input_mask", "input_mask_encoder", "tgt_ids", "init_scores", "parent_idx", "tgt_input_mask", "tgt_start_pos", "data_ids"], target_vars=[seg_ids, seg_scores, data_ids], execu...
os.makedirs(model_save_dir) print 'save models to %s' % (model_path) # 保存预测模型 fluid.io.save_inference_model(model_path, ['image'], [net], exe) Paddle 1的保存模型 代码语言:txt 复制 with open(save_parameters_name, 'w') as f: trainer.save_parameter_to_tar(f) 预测模型 获取...
model_path = os.path.join(model_save_dir, str(pass_id)) # 如果保存路径不存在就创建 if not os.path.exists(model_save_dir): os.makedirs(model_save_dir) print('save models to %s' % (model_path)) # 保存预测模型 fluid.io.save_inference_model(model_path, ['image'], [net], exe) ...
paddle在save_inference_model中,用了fluid.layers.split生成的文件不包含split参数失败,反解确认过 1、输入是一个vector,但是一部分vector数据需要data norm,一部分不需要,所有用了split 2、用了1.6版本fluid的python包调用fluid.io.save_inference_model这个接口,产生的描述文件里面没有split参数 3、python版本确认是...
fluid.io.save_inference_model(model_path, ['image'], [out], exe) 恢复模型 是不是把下面代码替换之前的 with open(filename, "rb") as f: program_desc_str = f.read() program = Program.parse_from_string(program_desc_str) loss, acc, weight = exe.run(program, feed=feeder.feed(data)...
fluid.io.load_inference_model(model_save_dir, # 模型保存路径 infer_exe) # 要执行模型的Executor # 获取测试数据 infer_reader = paddle.batch(paddle.dataset.uci_housing.test(), batch_size=200) # 测试数据读取器 test_data = next(infer_reader()) # 获取一条数据 ...
fluid.io.save_inference_model(params_dirname, ['x'], [y_predict], exe) # 开始预测 infer_exe = fluid.Executor(cpu) inference_scope = fluid.Scope() # 加载训练好的模型 with fluid.scope_guard(inference_scope): [inference_program, feed_target_names, ...
fluid.io.load_inference_model(dirname=model_path[0], executor=exe, model_filename=model_path[1], params_filename=params_path[1])) and for prediction: with fluid.scope_guard(scope): results=exe.run(inference_program, feed=inputs,
fluid.io.save_inference_model( save_dirname, ['x'], [y_predict], exe)returnprint("Pass %d, total avg cost = %f"% (pass_id, total_loss_pass)) train_loop(fluid.default_main_program())# Infer by using provided test data. 開發者ID:yeyupiaoling,項目名稱:LearnPaddle2,代碼行數:36,代碼...
fluid.io.save_inference_model( save_dirname, ['x'], [y_predict], exe)returnprint("Pass %d, total avg cost = %f"% (pass_id, total_loss_pass)) train_loop(fluid.default_main_program())# Infer by using provided test data. 开发者ID:yeyupiaoling,项目名称:LearnPaddle2,代码行数:36,代码...