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use HALF in cifar wino benchmarks (#8153)
more representative as it hits tensor cores on tinyboxes
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4
.github/workflows/benchmark.yml
vendored
4
.github/workflows/benchmark.yml
vendored
@@ -282,7 +282,7 @@ jobs:
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- name: Run 10 CIFAR training steps w BF16
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run: NV=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py | tee train_cifar_bf16.txt
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- name: Run 10 CIFAR training steps w winograd
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run: NV=1 RUN_PROCESS_REPLAY=0 WINO=1 STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
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run: NV=1 RUN_PROCESS_REPLAY=0 WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
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- name: Run full CIFAR training w 1 GPU
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run: time NV=1 DEFAULT_FLOAT=HALF LATEWINO=1 STEPS=1000 TARGET_EVAL_ACC_PCT=93.2 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
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- name: Run full CIFAR training steps w 6 GPUS
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@@ -463,7 +463,7 @@ jobs:
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- name: Run 10 CIFAR training steps w BF16
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run: AMD=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py | tee train_cifar_bf16.txt
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- name: Run 10 CIFAR training steps w winograd
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run: AMD=1 WINO=1 STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
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run: AMD=1 WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
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- name: Run full CIFAR training w 1 GPU
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run: time AMD=1 DEFAULT_FLOAT=HALF LATEWINO=1 STEPS=1000 TARGET_EVAL_ACC_PCT=93.2 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
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- name: Run full CIFAR training steps w 6 GPUS
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