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https://github.com/deepseek-ai/DeepGEMM
synced 2025-06-26 23:15:49 +00:00
tma support indivisible num_n_blocks/num_m_blocks
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@@ -38,10 +38,10 @@ gemm_t::run(out, rhs_scales, nullptr,
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"""
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def is_tma_multicast_legal(shape_dim: int, block_dim: int, num_tma_multicast: int, num_sms: int) -> bool:
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def is_tma_multicast_legal(shape_dim: int, multicast_block_dim: int, num_tma_multicast: int, num_sms: int) -> bool:
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if num_tma_multicast == 1:
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return True
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return (shape_dim % (block_dim * num_tma_multicast) == 0) and num_sms % num_tma_multicast == 0
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return shape_dim % multicast_block_dim == 0 and num_sms % num_tma_multicast == 0
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def get_swizzle_mode(block_n: int) -> int:
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@@ -146,8 +146,9 @@ def get_best_configs(m: int, n: int, k: int, num_groups: int, num_sms: int,
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best_tma_multicast_config = (1, True)
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# Try to multicast on the larger block side first
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# NOTES: Currently, grouped masked GEMM only supports multicast on A and requires the number of blocks in the n-direction to be even.
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is_multicast_legal = {
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'A': is_tma_multicast_legal(n, best_block_n, 2, num_sms),
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'A': is_tma_multicast_legal(n, best_block_n * (2 if is_grouped_masked else 1), 2, num_sms),
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'B': is_tma_multicast_legal(m, best_block_m, 2, num_sms) and (not is_grouped_masked),
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}
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for i in ('A', 'B') if best_block_m > best_block_n else ('B', 'A'):
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