7b566bf686
* add new API for optimize any pytorch models * change test util name * revise API and update UT * fix python style * update ut config, change default value * change defaults, disable ut transcribe
44 lines
No EOL
1.5 KiB
Python
44 lines
No EOL
1.5 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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import unittest
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import os
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import pytest
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import time
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import torch
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from bigdl.llm import optimize_model
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class TestOptimizeAPI(unittest.TestCase):
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def setUp(self):
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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_optimize_whisper(self):
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# dataset_path = os.environ.get('COMMON_VOICE_PATH')
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# reservation_audio = os.path.join(dataset_path,'reservation.mp3')
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import whisper
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model = whisper.load_model("tiny")
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model = optimize_model(model, low_bit="sym_int4", optimize_llm=False)
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# result = model.transcribe(reservation_audio, verbose=True, language="English")
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# assert "Reservation" or "reservation" in result["text"]
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if __name__ == '__main__':
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pytest.main([__file__]) |