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update kernel dataset to exclude the disktensor ones (#3651)
disk tensor load contains big offset and is not meant to be run by gpu. repro steps ``` time ./extra/optimization/generate_dataset.sh gzip /tmp/sops mv /tmp/sops.gz extra/datasets/ ```
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3 changed files with 4 additions and 4 deletions
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@ -12,9 +12,9 @@ WINO=1 STEPS=3 python3 examples/hlb_cifar10.py
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python3 examples/stable_diffusion.py --noshow
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python3 examples/llama.py --prompt "hello" --count 5
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python3 examples/gpt2.py --count 5
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python3 HALF=1 examples/gpt2.py --count 5
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python3 python examples/beautiful_mnist.py
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python3 python examples/beautiful_cartpole.py
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HALF=1 python3 examples/gpt2.py --count 5
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python3 examples/beautiful_mnist.py
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python3 examples/beautiful_cartpole.py
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python3 examples/mlperf/model_spec.py
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python3 examples/yolov8.py ./test/models/efficientnet/Chicken.jpg
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openpilot/go.sh
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@ -50,7 +50,7 @@ logops = open(getenv("LOGOPS", ""), "a") if getenv("LOGOPS", "") else None
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def run_schedule(schedule:List[ScheduleItem]):
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while len(schedule):
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si = schedule.pop(0)
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if logops and si.ast.op not in LoadOps: logops.write(str(si.ast)+"\n")
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if logops and si.ast.op not in LoadOps and not any(i.device.startswith("DISK:") for i in si.inputs): logops.write(str(si.ast)+"\n")
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# get the program
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prg = lower_schedule_item(si)
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