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Vehicle Researcher
33d5cfc393
date: 2025-12-18T23:23:16 master commit: 3cdee7b54718ee14bd85befd6c5bad3d699c5479
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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