[0.9.1][MTP V1]MTP model adapt torchair #1840
Merged
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What this PR does / why we need it?
MTP model adapt torchair graph mode
The MTP model only utilizes the torchair graph during the decode phase. Our padding strategy involves running a fixed number of 1+MTP tokens per batch, regardless of whether the main model accepts or rejects them. When generating the MTP hidden state, we only take the last index of the accepted tokens for each batch.
Does this PR introduce any user-facing change?
How was this patch tested?
Tested in DP4/TP4, TP16 DP1, TP8 DP2, and Prefilling Decoding Disaggregation