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# copy pasted from https://docs.vllm.ai/en/latest/getting_started/quickstart.html
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# do export VLLM_USE_MODELSCOPE=True
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import argparse
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import argparse
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from typing import Dict, List
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from typing import Dict, List
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import os
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import os
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@ -8,22 +7,6 @@ import sglang as sgl
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from sglang import OpenAI, assistant, gen, set_default_backend, system, user
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from sglang import OpenAI, assistant, gen, set_default_backend, system, user
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def test_pytorch():
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print('\n----- Test PyTorch ---')
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# Print the PyTorch version and CUDA version
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print(f"PyTorch version: {torch.__version__}")
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print(f"CUDA version: {torch.version.cuda}")
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# Perform a matrix multiplication on CUDA and print the result
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result = torch.randn(2, 4).cuda() @ torch.randn(4, 1).cuda()
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print(f"Matrix multiplication result: {result}")
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# Check CUDA availability and device details
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print(f'Number of CUDA devices: {torch.cuda.device_count()}')
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if torch.cuda.device_count() > 0:
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print(f'Device name: {torch.cuda.get_device_name(0)}')
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else:
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print("No CUDA devices available.")
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@sgl.function
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@sgl.function
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def multi_turn_question(s, question_1, question_2):
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def multi_turn_question(s, question_1, question_2):
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