Vehicle Researcher
6adb63b915
date: 2026-06-04T09:49:56 master commit: c0ab3550eca2e9daf197c46b7e4b24aa9637cf2e
19 lines
830 B
Python
19 lines
830 B
Python
from tinygrad import Tensor, dtypes
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dtypes.default_float = dtypes.float16
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from tinygrad.dtype import to_dtype
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from tinygrad.helpers import getenv
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if __name__ == "__main__":
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# matmuls in bert layers
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BS = getenv("BS", 96//6)
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acc_dtype = to_dtype(getenv("ACC_DTYPE", "half"))
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tensors = [
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(Tensor.empty(BS, 512, 1024), Tensor.empty(1024, 1024).T), # linear to get qkv
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(Tensor.empty(BS, 512, 16, 64).permute(0,2,1,3), Tensor.empty(BS, 512, 16, 64).permute(0,2,3,1)), # q@k
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(Tensor.empty(BS, 16, 512, 512), Tensor.empty(BS, 512, 16, 64).permute(0,2,1,3)), # qk@v
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]
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for t0, t1 in tensors:
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print(f"{t0.shape=}, {t0.uop.st.is_expanded()=}, {t1.shape=}, {t1.uop.st.is_expanded()=}")
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for _ in range(5):
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t0.dot(t1, dtype=acc_dtype).realize()
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