Created
December 31, 2023 09:14
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pytorch laptop benchmarks
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| for model in llama resnet50 resnet152 vgg16 hf_gpt2 hf_gpt2_large hf_bert yolov3; do python run.py -d cuda -t eval $model; python run.py -d cuda -t train $model; done 2>&1 | tee benchmark.log |
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