49 lines
2.1 KiB
C++
49 lines
2.1 KiB
C++
/* Copyright 2025 SGLang Team. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
==============================================================================*/
|
|
|
|
#include <ATen/core/dispatch/Dispatcher.h>
|
|
#include <torch/library.h>
|
|
|
|
#include "sgl_kernel_ops.h"
|
|
#include "torch_musa/csrc/aten/musa/MUSAContext.h"
|
|
|
|
TORCH_LIBRARY_EXPAND(sgl_kernel, m) {
|
|
/*
|
|
* From FlashInfer
|
|
*/
|
|
m.def(
|
|
"min_p_sampling_from_probs(Tensor probs, Tensor output, Tensor? maybe_indices, Tensor? maybe_min_p_arr, float "
|
|
"min_p_val, bool deterministic, Generator? gen) -> ()");
|
|
m.impl("min_p_sampling_from_probs", torch::kMUSA, &min_p_sampling_from_probs);
|
|
|
|
m.def("top_k_renorm_probs(Tensor probs, Tensor! renorm_probs, Tensor? maybe_top_k_arr, int top_k_val) -> ()");
|
|
m.impl("top_k_renorm_probs", torch::kMUSA, &top_k_renorm_probs);
|
|
|
|
m.def("top_p_renorm_probs(Tensor probs, Tensor! renorm_probs, Tensor? maybe_top_p_arr, float top_p_val) -> ()");
|
|
m.impl("top_p_renorm_probs", torch::kMUSA, &top_p_renorm_probs);
|
|
|
|
m.def(
|
|
"top_p_sampling_from_probs(Tensor probs, Tensor output, Tensor? maybe_indices, Tensor? "
|
|
"maybe_top_p_arr, float top_p_val, bool deterministic, Generator? gen) -> ()");
|
|
m.impl("top_p_sampling_from_probs", torch::kMUSA, &top_p_sampling_from_probs);
|
|
|
|
m.def(
|
|
"top_k_top_p_sampling_from_probs(Tensor probs, Tensor output, Tensor? maybe_indices, Tensor? maybe_top_k_arr, "
|
|
"float top_k_val, Tensor? maybe_top_p_arr, float top_p_val, bool deterministic, Generator? gen) -> ()");
|
|
m.impl("top_k_top_p_sampling_from_probs", torch::kMUSA, &top_k_top_p_sampling_from_probs);
|
|
}
|
|
|
|
REGISTER_EXTENSION(common_ops)
|