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EP: CUDA-graph-safe HT internode dispatch+combine (worst-tokens mode) #7

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EP: CUDA-graph-safe HT internode dispatch+combine (worst-tokens mode) #7

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1b53d21
ep: make HT internode dispatch+combine CUDA-graph replay-safe
fergusfinn Jun 10, 2026
85a9711
ep: expose per-expert recv counts as a device tensor in worst-tokens …
fergusfinn Jun 10, 2026
73a5d4c
ep: add CUDA-graph capture/replay correctness test for HT internode
fergusfinn Jun 10, 2026
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18 changes: 17 additions & 1 deletion ep/bench/buffer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1570,6 +1570,18 @@ def internode_dispatch(
dtype=torch.int32,
device=x.device,
)
# Device-visible per-expert counts for CUDA-graph mode: the
# host list is unavailable without a sync when num_worst_tokens
# is set, so the notify kernel also writes a device tensor.
recv_expert_counts = (
torch.zeros(
(int(num_tokens_per_expert.size(0)) // self.group_size,),
dtype=torch.int32,
device=x.device,
)
if num_worst_tokens > 0
else None
)
(
num_recv_tokens,
num_rdma_recv_tokens,
Expand All @@ -1588,6 +1600,7 @@ def internode_dispatch(
int(num_tokens_per_expert.size(0)),
int(expert_alignment),
int(num_worst_tokens),
0 if recv_expert_counts is None else recv_expert_counts.data_ptr(),
config,
rdma_channel_prefix_matrix.data_ptr(),
recv_rdma_rank_prefix_sum.data_ptr(),
Expand Down Expand Up @@ -1752,7 +1765,9 @@ def internode_dispatch(
(recv_x, recv_x_scales) if x_scales is not None else recv_x,
recv_topk_idx,
recv_topk_weights,
num_recv_tokens_per_expert_list,
recv_expert_counts
if recv_expert_counts is not None
else num_recv_tokens_per_expert_list,
handle,
EventOverlap(
event,
Expand Down Expand Up @@ -1841,6 +1856,7 @@ def internode_combine(
rdma_channel_prefix_matrix.data_ptr(),
rdma_rank_prefix_sum.data_ptr(),
gbl_channel_prefix_matrix.data_ptr(),
gbl_rank_prefix_sum.data_ptr(),
send_rdma_head.data_ptr(),
send_nvl_head.data_ptr(),
config,
Expand Down
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