mirror of https://github.com/hpcaitech/ColossalAI
47 lines
1.2 KiB
Python
Executable File
47 lines
1.2 KiB
Python
Executable File
import pytest
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import colossalai
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from colossalai.inference.config import InferenceConfig
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from colossalai.inference.struct import RequestStatus, Sequence
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from colossalai.testing import rerun_if_address_is_in_use, spawn
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def check_config_and_inference():
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config = InferenceConfig()
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assert config.max_batch_size == 8
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sequence = Sequence(
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request_id=1,
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prompt="abc",
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input_token_id=[1, 2, 3],
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block_size=16,
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sample_params=None,
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eos_token_id=2,
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pad_token_id=2,
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max_output_len=256,
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)
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sequence.mark_running()
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assert sequence.status == RequestStatus.RUNNING
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sequence.recycle()
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assert sequence.status == RequestStatus.RECYCLED
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assert sequence.sentence_len == 3
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assert sequence.input_len == 3
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assert sequence.output_len == 0
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assert sequence.check_finish() == False
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def run_dist(rank, world_size, port):
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colossalai.launch(rank=rank, world_size=world_size, port=port, host="localhost")
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check_config_and_inference()
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@pytest.mark.dist
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@rerun_if_address_is_in_use()
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def test_config_and_inference():
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spawn(run_dist, 1)
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if __name__ == "__main__":
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test_config_and_inference()
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