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[HiCache] Supports Indexer layout for NSATokenToKVPoolHost #19912

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Merged
xiezhq-hermann merged 5 commits into from
Mar 10, 2026
Merged

[HiCache] Supports Indexer layout for NSATokenToKVPoolHost #19912

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c6bf050
Supports Indexer layout for NSATokenToKVPoolHost
huangtingwei9988 Mar 5, 2026
065b570
Merge branch 'main' into indexer_host_layout
huangtingwei9988 Mar 5, 2026
f2a32c9
fix
huangtingwei9988 Mar 5, 2026
906ee6e
fix
huangtingwei9988 Mar 6, 2026
37f200b
Merge branch 'main' into indexer_host_layout
huangtingwei9988 Mar 7, 2026
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160 changes: 113 additions & 47 deletions python/sglang/srt/mem_cache/memory_pool_host.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1109,6 +1109,7 @@ def __init__(
self.indexer_page_stride_size = (
self.indexer_size_per_token * self.page_size * self.indexer_dtype.itemsize
)
self.indexer_layout_dim = self.indexer_page_stride_size * self.layer_num
self.indexer_page_num = (self.size + self.page_size + 1) // self.page_size
self._init_indexer_buffers()
logger.info(
Expand All @@ -1124,29 +1125,45 @@ def get_size_per_token(self):

def _init_indexer_buffers(self):
alloc_func = ALLOC_MEMORY_FUNCS[self.device_pool.device]
self.index_k_with_scale_buffer = [
alloc_func(
(self.indexer_page_num, self.indexer_page_stride_size),
dtype=self.indexer_dtype,
device=self.device,
pin_memory=self.pin_memory,
allocator=self.allocator,
)
for _ in range(self.layer_num)
]
self.index_k_data_refs = [
self.index_k_with_scale_buffer[i] for i in range(self.layer_num)
]
self.index_k_data_ptrs = torch.tensor(
[x.data_ptr() for x in self.index_k_data_refs],
dtype=torch.uint64,
device=self.device_pool.device,
)
self.index_k_device_ptrs = torch.tensor(
[x.data_ptr() for x in self.device_pool.index_k_with_scale_buffer],
dtype=torch.uint64,
device=self.device_pool.device,
)
if self.layout == "layer_first":
self.index_k_with_scale_buffer = [
alloc_func(
(self.indexer_page_num, self.indexer_page_stride_size),
dtype=self.indexer_dtype,
device=self.device,
pin_memory=self.pin_memory,
allocator=self.allocator,
)
for _ in range(self.layer_num)
]
self.index_k_data_refs = [
self.index_k_with_scale_buffer[i] for i in range(self.layer_num)
]
self.index_k_data_ptrs = torch.tensor(
[x.data_ptr() for x in self.index_k_data_refs],
dtype=torch.uint64,
device=self.device_pool.device,
)
elif self.layout in ["page_first", "page_first_direct"]:
self.index_k_with_scale_buffer = alloc_func(
(
self.indexer_page_num,
self.layer_num,
1,
self.indexer_page_stride_size,
),
dtype=self.indexer_dtype,
device=self.device,
pin_memory=self.pin_memory,
allocator=self.allocator,
)
else:
raise ValueError(f"Unsupported layout: {self.layout}")

def _get_indexer_page_indices(self, host_indices, device_indices):
if host_indices.numel() == 0:
Expand All @@ -1171,21 +1188,46 @@ def _load_indexer_to_device_per_layer(
)
use_kernel = io_backend == "kernel" and self.indexer_page_stride_size % 8 == 0
if use_kernel:
transfer_kv_per_layer_mla(
src=self.index_k_with_scale_buffer[layer_id],
dst=device_pool.index_k_with_scale_buffer[layer_id],
src_indices=host_page_indices,
dst_indices=device_page_indices,
item_size=self.indexer_page_stride_size,
)
if self.layout == "layer_first":
transfer_kv_per_layer_mla(
src=self.index_k_with_scale_buffer[layer_id],
dst=device_pool.index_k_with_scale_buffer[layer_id],
src_indices=host_page_indices,
dst_indices=device_page_indices,
item_size=self.indexer_page_stride_size,
)
elif self.layout == "page_first":
transfer_kv_per_layer_mla_pf_lf(
src=self.index_k_with_scale_buffer,
dst=device_pool.index_k_with_scale_buffer[layer_id],
src_indices=host_page_indices,
dst_indices=device_page_indices,
layer_id=layer_id,
item_size=self.indexer_page_stride_size,
src_layout_dim=self.indexer_layout_dim,
)
else:
raise ValueError(f"Unsupported layout: {self.layout}")
else:
transfer_kv_direct(
src_layers=[self.index_k_with_scale_buffer[layer_id]],
dst_layers=[device_pool.index_k_with_scale_buffer[layer_id]],
src_indices=host_page_indices,
dst_indices=device_page_indices,
page_size=1,
)
if self.layout == "layer_first":
transfer_kv_direct(
src_layers=[self.index_k_with_scale_buffer[layer_id]],
dst_layers=[device_pool.index_k_with_scale_buffer[layer_id]],
src_indices=host_page_indices,
dst_indices=device_page_indices,
page_size=1,
)
elif self.layout == "page_first_direct":
transfer_kv_per_layer_direct_pf_lf(
src_ptrs=[self.index_k_with_scale_buffer],
dst_ptrs=[device_pool.index_k_with_scale_buffer[layer_id]],
src_indices=host_page_indices,
dst_indices=device_page_indices,
layer_id=layer_id,
page_size=1,
)
else:
raise ValueError(f"Unsupported layout: {self.layout}")

def _backup_indexer_from_device_all_layer(
self, device_pool, host_indices, device_indices, io_backend
Expand All @@ -1195,22 +1237,46 @@ def _backup_indexer_from_device_all_layer(
)
use_kernel = io_backend == "kernel" and self.indexer_page_stride_size % 8 == 0
if use_kernel:
transfer_kv_all_layer_mla(
src_layers=self.index_k_device_ptrs,
dst_layers=self.index_k_data_ptrs,
src_indices=device_page_indices,
dst_indices=host_page_indices,
item_size=self.indexer_page_stride_size,
num_layers=self.layer_num,
)
if self.layout == "layer_first":
transfer_kv_all_layer_mla(
src_layers=self.index_k_device_ptrs,
dst_layers=self.index_k_data_ptrs,
src_indices=device_page_indices,
dst_indices=host_page_indices,
item_size=self.indexer_page_stride_size,
num_layers=self.layer_num,
)
elif self.layout == "page_first":
transfer_kv_all_layer_mla_lf_pf(
src_layers=self.index_k_device_ptrs,
dst=self.index_k_with_scale_buffer,
src_indices=device_page_indices,
dst_indices=host_page_indices,
item_size=self.indexer_page_stride_size,
dst_layout_dim=self.indexer_layout_dim,
num_layers=self.layer_num,
)
else:
raise ValueError(f"Unsupported layout: {self.layout}")
else:
transfer_kv_direct(
src_layers=device_pool.index_k_with_scale_buffer,
dst_layers=self.index_k_with_scale_buffer,
src_indices=device_page_indices,
dst_indices=host_page_indices,
page_size=1,
)
if self.layout == "layer_first":
transfer_kv_direct(
src_layers=device_pool.index_k_with_scale_buffer,
dst_layers=self.index_k_with_scale_buffer,
src_indices=device_page_indices,
dst_indices=host_page_indices,
page_size=1,
)
elif self.layout == "page_first_direct":
transfer_kv_all_layer_direct_lf_pf(
src_ptrs=device_pool.index_k_with_scale_buffer,
dst_ptrs=[self.index_k_with_scale_buffer],
src_indices=device_page_indices,
dst_indices=host_page_indices,
page_size=1,
)
else:
raise ValueError(f"Unsupported layout: {self.layout}")

def load_to_device_per_layer(
self,
Expand Down
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