# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import math
import os
import random
import time
import sys
import yaml
import numpy as np

import paddle
from paddle.distributed import fleet
import paddle.distributed as dist

__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(__dir__, '../../')))

from ppfleetx.utils import config
from ppfleetx.models import build_module
from ppfleetx.distributed.apis import env

if __name__ == "__main__":
    args = config.parse_args()
    cfg = config.get_config(args.config, overrides=args.override, show=False)

    if dist.get_world_size() > 1:
        env.init_dist_env(cfg)

    env.set_seed(cfg.Global.seed)

    module = build_module(cfg)
    config.print_config(cfg)

    module.model.eval()

    ckpt_dir = cfg.Engine.save_load.ckpt_dir
    if ckpt_dir is not None:
        model_path = os.path.join(ckpt_dir, "model.pdparams")
        model_dict = paddle.load(model_path)

        for key, value in model_dict.items():
            model_dict[key] = model_dict[key].astype(paddle.float32)

        module.model.set_state_dict(model_dict)

    input_text = 'Hi, GPT2. Tell me who Jack Ma is.'
    result = module.generate(input_text)

    print(f'Prompt: {input_text}')
    print(f'Generation: {result[0]}')
