perf: [draft] Add fused q_norm/k_norm/RoPE for Qwen3. #4482
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Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
In this case, numElemsPerThread=2, numVecPerThread=0. But the store code incorrectly perform vectorized store, some threads (e.g., lane1) issue store to address that is not aligned to 64 bit. Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Cleanup code. Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
byshiue
reviewed
May 20, 2025
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| // Reduce sum across warp | ||
| for (int mask = 16; mask > 0; mask /= 2) |
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Can use warpReduceSum in cpp/tensorrt_llm/common/reduceKernelUtils.cuh directly.
byshiue
reviewed
May 20, 2025
bobboli
changed the title
byshiue
approved these changes
May 20, 2025
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
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