83 lines
3.2 KiB
C++
83 lines
3.2 KiB
C++
/* Copyright 2025 SGLang Team. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <ATen/core/dispatch/Dispatcher.h>
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#include <torch/library.h>
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#include "sgl_kernel_ops.h"
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TORCH_LIBRARY_EXPAND(sgl_kernel, m) {
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/*
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* From csrc/allreduce
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*/
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m.def(
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"init_custom_ar(Tensor meta, Tensor rank_data, "
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"str[] handles, int[] offsets, int rank, "
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"bool full_nvlink) -> int");
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m.impl("init_custom_ar", torch::kCUDA, &init_custom_ar);
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m.def("all_reduce_reg(int fa, Tensor inp, Tensor! out) -> ()");
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m.impl("all_reduce_reg", torch::kCUDA, &all_reduce_reg);
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m.def(
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"all_reduce_unreg(int fa, Tensor inp, Tensor reg_buffer, Tensor! out) -> "
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"()");
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m.impl("all_reduce_unreg", torch::kCUDA, &all_reduce_unreg);
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m.def("dispose", &dispose);
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m.def("meta_size", &meta_size);
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m.def(
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"register_buffer(int fa, Tensor t, str[] handles, "
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"int[] offsets) -> ()");
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m.impl("register_buffer", torch::kCUDA, ®ister_buffer);
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m.def("get_graph_buffer_ipc_meta", &get_graph_buffer_ipc_meta);
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m.def("register_graph_buffers", ®ister_graph_buffers);
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m.def("allocate_meta_buffer", &allocate_meta_buffer);
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m.impl("allocate_meta_buffer", torch::kCUDA, &allocate_meta_buffer);
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m.def("get_meta_buffer_ipc_handle", &get_meta_buffer_ipc_handle);
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m.impl("get_meta_buffer_ipc_handle", torch::kCPU, &get_meta_buffer_ipc_handle);
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/*
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* From csrc/moe
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*/
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m.def(
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"moe_align_block_size(Tensor topk_ids, int num_experts, int block_size, Tensor! sorted_token_ids, Tensor! "
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"experts_ids, Tensor! num_tokens_post_pad, Tensor! token_cnts_buffer, Tensor! cumsum_buffer) -> ()");
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m.impl("moe_align_block_size", torch::kCUDA, &moe_align_block_size);
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m.def(
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"topk_softmax(Tensor! topk_weights, Tensor! topk_indices, Tensor! "
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"token_expert_indices, Tensor gating_output) -> ()");
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m.impl("topk_softmax", torch::kCUDA, &topk_softmax);
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m.def(
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"verify_tree_greedy(Tensor! predicts, Tensor! accept_index, Tensor! accept_token_num, "
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"Tensor candidates, Tensor retrive_index, Tensor retrive_next_token, Tensor retrive_next_sibling, "
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"Tensor target_predict, int cuda_stream) -> ()");
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m.impl("verify_tree_greedy", torch::kCUDA, &verify_tree_greedy);
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m.def(
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"build_tree_kernel_efficient(Tensor parent_list, Tensor selected_index, Tensor verified_seq_len, "
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"Tensor! tree_mask, Tensor! positions, Tensor! retrive_index, Tensor! retrive_next_token, "
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"Tensor! retrive_next_sibling, int topk, int depth, int draft_token_num) -> ()");
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m.impl("build_tree_kernel_efficient", torch::kCUDA, &build_tree_kernel_efficient);
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}
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REGISTER_EXTENSION(common_ops)
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