#
# Copyright 2016 The BigDL Authors.
#
# 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 pytest
import os
import tempfile
from unittest import TestCase

from bigdl.llm import llm_convert
from bigdl.llm.transformers import AutoModelForCausalLM


llama_model_path = os.environ.get('LLAMA_ORIGIN_PATH')
gptneox_model_path = os.environ.get('GPTNEOX_ORIGIN_PATH')
bloom_model_path = os.environ.get('BLOOM_ORIGIN_PATH')
starcoder_model_path = os.environ.get('STARCODER_ORIGIN_PATH')
output_dir = os.environ.get('INT4_CKPT_DIR')

class TestConvertModel(TestCase):
    
    def test_convert_llama(self):
        converted_model_path = llm_convert(model=llama_model_path,
                                           outfile=output_dir,
                                           model_family='llama',
                                           model_format="pth",
                                           outtype='int4')
        assert os.path.isfile(converted_model_path)

    def test_convert_gptneox(self):
        converted_model_path = llm_convert(model=gptneox_model_path,
                                           outfile=output_dir,
                                           model_family='gptneox',
                                           model_format="pth",
                                           outtype='int4')
        assert os.path.isfile(converted_model_path)

    def test_convert_bloom(self):
        converted_model_path = llm_convert(model=bloom_model_path,
                                           outfile=output_dir,
                                           model_family='bloom',
                                           model_format="pth",
                                           outtype='int4')
        assert os.path.isfile(converted_model_path)
    
    def test_convert_starcoder(self):
        converted_model_path = llm_convert(model=starcoder_model_path,
                                           outfile=output_dir,
                                           model_family='starcoder',
                                           model_format="pth",
                                           outtype='int4')
        assert os.path.isfile(converted_model_path)

    def test_transformer_convert_llama(self):
        model = AutoModelForCausalLM.from_pretrained(llama_model_path,
                                                     load_in_4bit=True)
        tempdir = tempfile.mkdtemp(dir=output_dir)
        model.save_pretrained(tempdir)
        model = AutoModelForCausalLM.from_pretrained(tempdir)
        assert model is not None


if __name__ == '__main__':
    pytest.main([__file__])