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[Misc] add non cuda hf benchmark_througput #8653
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👋 Hi! Thank you for contributing to the vLLM project. Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging. To run CI, PR reviewers can do one of these:
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is_cuda = device == "cuda" | ||
if is_cuda: | ||
llm = llm.cuda() |
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Apply .cuda
only when device=="cuda"
benchmarks/benchmark_throughput.py
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model, torch_dtype=torch.float16, trust_remote_code=trust_remote_code) | ||
model, | ||
torch_dtype=torch.float16 if is_cuda else torch.float32, | ||
trust_remote_code=trust_remote_code, | ||
) |
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load to float32 if not cuda()
https://stackoverflow.com/questions/49995594/half-precision-floating-point-arithmetic-on-intel-chips
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add non cuda hf benchmark_througput for comparison with openvino backend
FIX #xxxx (link existing issues this PR will resolve)
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