[NIXL][XPU] Fix uint64 overflow for mismatched P/D TP sizes (e.g. prefill_tp=1, decode_tp=2) (#24648)

This commit is contained in:
Jianhong Zhang
2026-05-12 11:02:24 +08:00
committed by GitHub
parent 0a37d24e62
commit 10375a1037
@@ -743,8 +743,12 @@ class NixlKVManager(CommonKVManager):
num_heads_to_send = dst_heads_per_rank
dst_head_start_offset = 0
# torch.int exceeds np.int64 range on Intel XPU (addresses have bit 63 set, e.g.
# 0xffff81ab54e01000). Use np.uint64 to prevent overflow on XPU.
kv_data_ptrs = np.array(self.kv_args.kv_data_ptrs, dtype=np.uint64)
dst_kv_ptrs = np.array(dst_kv_ptrs, dtype=np.uint64)
src_k_ptrs, src_v_ptrs, dst_k_ptrs, dst_v_ptrs, layers_current_pp_stage = (
self.get_mha_kv_ptrs_with_pp(self.kv_args.kv_data_ptrs, dst_kv_ptrs)
self.get_mha_kv_ptrs_with_pp(kv_data_ptrs, dst_kv_ptrs)
)
# Calculate precise byte offset and length for the sub-slice within the token
src_head_slice_offset = src_head_start_offset * bytes_per_head_slice_to_send
@@ -765,11 +769,11 @@ class NixlKVManager(CommonKVManager):
for layer_id in range(layers_current_pp_stage)
]
prefill_indices = np.asarray(prefill_kv_indices, dtype=np.int64)
dst_indices = np.asarray(dst_kv_indices, dtype=np.int64)
prefill_indices = np.asarray(prefill_kv_indices, dtype=np.uint64)
dst_indices = np.asarray(dst_kv_indices, dtype=np.uint64)
bytes_per_token_prefill = src_kv_item_len // page_size
bytes_per_token_decode = dst_kv_item_len // page_size
token_offsets = np.arange(page_size, dtype=np.int64)
token_offsets = np.arange(page_size, dtype=np.uint64)
src_addrs = []
dst_addrs = []