Fix nt #1738
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Fix nt #1738
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valarLip
reviewed
Dec 25, 2025
| exp_bias: Optional[Tensor] = None, | ||
| activation: Optional[int] = 0, | ||
| block_m: Optional[int] = 32, | ||
| b_nt_type: Optional[int] = 0, |
Collaborator
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make args signature aligned, for example align with line 343
| activation: Optional[int] = 0, | ||
| block_m: Optional[int] = 32, | ||
| b_nt_type: Optional[int] = 0, | ||
| split_k: Optional[int] = 1, |
Collaborator
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"b_nt_type, split_k" or "split_k,b_nt_type" ?
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| @functools.lru_cache(maxsize=2048) | ||
| def get_ksplit(token, topk, expert, inter_dim, model_dim): |
Collaborator
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duplicate with line 514?
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| if split_k > 1: | ||
| if activation == ActivationType.Silu: | ||
| aiter.silu_and_mul(out, tmp_out.to(out.dtype)) |
| if max_diff_exp_sums < tolerance: | ||
| print( | ||
| f"✅ exp_sums TEST PASSED: Max difference ({max_diff_exp_sums:.6e}) < tolerance ({tolerance})" | ||
| f"? exp_sums TEST PASSED: Max difference ({max_diff_exp_sums:.6e}) < tolerance ({tolerance})" |
| head_dim=head_dim, | ||
| ) | ||
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| print(f" ✓ [{idx}/{total}] {kernel_type} test passed") |
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