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onepilot/tinygrad_repo/test/external/external_benchmark_bert_matmuls.py
github-actions[bot] 54e6124925 sunnypilot v2026.05.07-4485
version: sunnypilot v2026.001.000 (dev)
date: 2026-05-07T23:07:19
master commit: c28eb958740187620f2282023b8f1997cf90f583
2026-05-07 23:07:19 +00:00

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Python

from tinygrad import Tensor, dtypes
dtypes.default_float = dtypes.float16
from tinygrad.dtype import to_dtype
from tinygrad.helpers import getenv
if __name__ == "__main__":
# matmuls in bert layers
BS = getenv("BS", 96//6)
acc_dtype = to_dtype(getenv("ACC_DTYPE", "half"))
tensors = [
(Tensor.empty(BS, 512, 1024), Tensor.empty(1024, 1024).T), # linear to get qkv
(Tensor.empty(BS, 512, 16, 64).permute(0,2,1,3), Tensor.empty(BS, 512, 16, 64).permute(0,2,3,1)), # q@k
(Tensor.empty(BS, 16, 512, 512), Tensor.empty(BS, 512, 16, 64).permute(0,2,1,3)), # qk@v
]
for t0, t1 in tensors:
print(f"{t0.shape=}, {t0.uop.st.is_expanded()=}, {t1.shape=}, {t1.uop.st.is_expanded()=}")
for _ in range(5):
t0.dot(t1, dtype=acc_dtype).realize()