9df70d95eb
* Rename bigdl/llm to ipex_llm * rm python/llm/src/bigdl * from bigdl.llm to from ipex_llm
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
#
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# Copyright 2016 The BigDL Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from ipex_llm.langchain.llms import TransformersLLM, TransformersPipelineLLM, \
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LlamaLLM, BloomLLM
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from ipex_llm.langchain.embeddings import TransformersEmbeddings, LlamaEmbeddings, \
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BloomEmbeddings
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import pytest
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from unittest import TestCase
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import os
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device = os.environ['DEVICE']
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print(f'Running on {device}')
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class Test_Langchain_Transformers_API(TestCase):
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def setUp(self):
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self.llama_model_path = os.environ.get('LLAMA2_7B_ORIGIN_PATH')
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thread_num = os.environ.get('THREAD_NUM')
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if thread_num is not None:
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self.n_threads = int(thread_num)
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else:
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self.n_threads = 2
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def test_bigdl_llm(self):
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texts = 'What is the capital of France?\n\n'
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bigdl_llm = TransformersLLM.from_model_id(model_id=self.llama_model_path, model_kwargs={'trust_remote_code': True}, device_map=device)
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output = bigdl_llm(texts)
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res = "Paris" in output
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self.assertTrue(res)
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if __name__ == '__main__':
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pytest.main([__file__])
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