chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 12:38:16 +08:00
commit 94057c3d3e
7152 changed files with 2120455 additions and 0 deletions
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from typing import Optional
import torch
def tree_speculative_sampling_target_only(
predicts: torch.Tensor, # mutable
accept_index: torch.Tensor, # mutable
accept_token_num: torch.Tensor, # mutable
candidates: torch.Tensor,
retrive_index: torch.Tensor,
retrive_next_token: torch.Tensor,
retrive_next_sibling: torch.Tensor,
uniform_samples: torch.Tensor,
uniform_samples_for_final_sampling: torch.Tensor,
target_probs: torch.Tensor,
draft_probs: torch.Tensor,
threshold_single: float = 1.0,
threshold_acc: float = 1.0,
deterministic: bool = True,
) -> None:
torch.ops.sgl_kernel.tree_speculative_sampling_target_only.default(
predicts,
accept_index,
accept_token_num,
candidates,
retrive_index,
retrive_next_token,
retrive_next_sibling,
uniform_samples,
uniform_samples_for_final_sampling,
target_probs,
draft_probs,
threshold_single,
threshold_acc,
deterministic,
)
def verify_tree_greedy(
predicts: torch.Tensor, # mutable
accept_index: torch.Tensor, # mutable
accept_token_num: torch.Tensor, # mutable
candidates: torch.Tensor,
retrive_index: torch.Tensor,
retrive_next_token: torch.Tensor,
retrive_next_sibling: torch.Tensor,
target_predict: torch.Tensor,
) -> None:
torch.ops.sgl_kernel.verify_tree_greedy.default(
predicts,
accept_index,
accept_token_num,
candidates,
retrive_index,
retrive_next_token,
retrive_next_sibling,
target_predict,
)
def build_tree_kernel_efficient(
parent_list: torch.Tensor,
selected_index: torch.Tensor,
verified_seq_len: torch.Tensor,
tree_mask: torch.Tensor,
positions: torch.Tensor,
retrive_index: torch.Tensor,
retrive_next_token: torch.Tensor,
retrive_next_sibling: torch.Tensor,
topk: int,
depth: int,
draft_token_num: int,
tree_mask_mode: int,
) -> None:
torch.ops.sgl_kernel.build_tree_kernel_efficient.default(
parent_list,
selected_index,
verified_seq_len,
tree_mask,
positions,
retrive_index,
retrive_next_token,
retrive_next_sibling,
topk,
depth,
draft_token_num,
tree_mask_mode,
)
def reconstruct_indices_from_tree_mask(
tree_mask: torch.Tensor,
verified_seq_len: torch.Tensor,
positions: torch.Tensor,
retrive_index: torch.Tensor,
retrive_next_token: torch.Tensor,
retrive_next_sibling: torch.Tensor,
batch_size: int,
draft_token_num: int,
) -> None:
if tree_mask.is_cpu:
torch.ops.sgl_kernel.reconstruct_indices_from_tree_mask_cpu(
tree_mask,
verified_seq_len,
positions,
retrive_index,
retrive_next_token,
retrive_next_sibling,
batch_size,
draft_token_num,
)
else:
torch.ops.sgl_kernel.reconstruct_indices_from_tree_mask.default(
tree_mask,
verified_seq_len,
positions,
retrive_index,
retrive_next_token,
retrive_next_sibling,
batch_size,
draft_token_num,
)
def segment_packbits(
x: torch.Tensor,
input_indptr: torch.Tensor,
output_indptr: torch.Tensor,
y: torch.Tensor,
batch_size: int,
) -> None:
torch.ops.sgl_kernel.segment_packbits.default(
x,
input_indptr,
output_indptr,
y,
batch_size,
torch.cuda.current_stream().cuda_stream,
)
def verify_tree_greedy_cpu(
predicts: torch.Tensor, # mutable
accept_index: torch.Tensor, # mutable
accept_token_num: torch.Tensor, # mutable
candidates: torch.Tensor,
retrive_index: torch.Tensor,
retrive_next_token: torch.Tensor,
retrive_next_sibling: torch.Tensor,
target_predict: torch.Tensor,
) -> None:
torch.ops.sgl_kernel.verify_tree_greedy_cpu(
predicts,
accept_index,
accept_token_num,
candidates,
retrive_index,
retrive_next_token,
retrive_next_sibling,
target_predict,
)
def build_tree_kernel_efficient_cpu(
parent_list: torch.Tensor,
selected_index: torch.Tensor,
verified_seq_len: torch.Tensor,
tree_mask: torch.Tensor,
positions: torch.Tensor,
retrive_index: torch.Tensor,
retrive_next_token: torch.Tensor,
retrive_next_sibling: torch.Tensor,
topk: int,
depth: int,
draft_token_num: int,
tree_mask_mode: int,
) -> None:
torch.ops.sgl_kernel.build_tree_kernel_efficient_cpu(
parent_list,
selected_index,
verified_seq_len,
tree_mask,
positions,
retrive_index,
retrive_next_token,
retrive_next_sibling,
topk,
depth,
draft_token_num,
tree_mask_mode,
)
def assign_req_to_token_pool_cpu(
req_pool_indices: torch.Tensor,
req_to_token: torch.Tensor,
start_offset: torch.Tensor,
end_offset: torch.Tensor,
out_cache_loc: torch.Tensor,
pool_len: int,
) -> None:
torch.ops.sgl_kernel.assign_req_to_token_pool_cpu(
req_pool_indices,
req_to_token,
start_offset,
end_offset,
out_cache_loc,
pool_len,
)
def build_draft_decode_metadata_cpu(
req_to_token: torch.Tensor,
req_pool_indices: torch.Tensor,
seq_lens: torch.Tensor,
topk: int,
num_steps: int,
pool_len: int,
) -> torch.Tensor:
return torch.ops.sgl_kernel.build_draft_decode_metadata_cpu(
req_to_token,
req_pool_indices,
seq_lens,
topk,
num_steps,
pool_len,
)
def fill_bonus_tokens_cpu(
accept_tokens: torch.Tensor,
accept_lens: torch.Tensor,
bonus_tokens: torch.Tensor,
accept_stride: int,
) -> None:
torch.ops.sgl_kernel.fill_bonus_tokens_cpu(
accept_tokens,
accept_lens,
bonus_tokens,
accept_stride,
)
def fill_accept_out_cache_loc_cpu(
accept_index: torch.Tensor,
out_cache_loc: torch.Tensor,
accept_out_cache_loc: torch.Tensor, # mutable
) -> None:
torch.ops.sgl_kernel.fill_accept_out_cache_loc_cpu(
accept_index,
out_cache_loc,
accept_out_cache_loc,
)
def assign_draft_cache_locs_contiguous_cpu(
req_pool_indices: torch.Tensor,
req_to_token: torch.Tensor,
seq_lens: torch.Tensor,
out_cache_loc: torch.Tensor,
pool_len: int,
topk: int,
num_steps: int,
) -> None:
torch.ops.sgl_kernel.assign_draft_cache_locs_contiguous_cpu(
req_pool_indices,
req_to_token,
seq_lens,
out_cache_loc,
pool_len,
topk,
num_steps,
)
def assign_extend_cache_locs_cpu(
req_pool_indices: torch.Tensor,
req_to_token: torch.Tensor,
start_offset: torch.Tensor,
end_offset: torch.Tensor,
out_cache_loc: torch.Tensor,
pool_len: int,
) -> None:
torch.ops.sgl_kernel.assign_extend_cache_locs_cpu(
req_pool_indices,
req_to_token,
start_offset,
end_offset,
out_cache_loc,
pool_len,
)
def rotate_input_ids_cpu(
input_ids: torch.Tensor,
extend_start_loc: torch.Tensor,
extend_seq_lens: torch.Tensor,
topk_index: torch.Tensor,
select_index: Optional[torch.Tensor] = None,
) -> None:
torch.ops.sgl_kernel.rotate_input_ids_cpu(
input_ids,
extend_start_loc,
extend_seq_lens,
topk_index,
select_index,
)