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CM MLPerf inference docs update for CUDA device running on host #28

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Oct 1, 2024
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3 changes: 3 additions & 0 deletions main.py
Original file line number Diff line number Diff line change
Expand Up @@ -140,6 +140,9 @@ def mlperf_inference_implementation_readme(spaces, model, implementation, *, imp
# ref to cm installation
content += f"{cur_space3}Please refer to the [installation page](site:inference/install/) to install CM for running the automated benchmark commands.\n\n"
test_query_count=get_test_query_count(model, implementation, device.lower())
if device.lower() == "cuda" and execution_env.lower() == "native":
content += f"\n{cur_space3}!!! tip\n\n"
content += f"{cur_space3} - It is advisable to use the commands in the Docker tab for CUDA. Run the below native command only if you are already on a CUDA setup with cuDNN and TensorRT installed.\n\n"

if "99.9" not in model: #not showing docker command as it is already done for the 99% variant
if implementation == "neuralmagic":
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