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run full hlb_cifar training in tinybox ci (#3145)
* run full hlb_cifar training in tinybox ci single gpu ~89 seconds * time that
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4
.github/workflows/benchmark.yml
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4
.github/workflows/benchmark.yml
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@@ -139,8 +139,8 @@ jobs:
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HIP=1 JIT=1 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_jitted.txt
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- name: Run 10 CIFAR training steps
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run: STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar.txt
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- name: Run 10 CIFAR training steps w HALF
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run: HALF=1 STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar_half.txt
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- name: Run full CIFAR training w HALF
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run: time HALF=1 STEPS=1000 python3 examples/hlb_cifar10.py | tee train_cifar_half.txt
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# # TODO: make wino faster so we can enable both
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# - name: Run 10 CIFAR training steps w winograd
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# run: WINO=1 STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
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