sglang_v0.5.2/flashinfer_0.3.1/csrc/flashinfer_cascade_ops.cu

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/*
* Copyright (c) 2023 by FlashInfer team.
*
* 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 "pytorch_extension_utils.h"
void merge_state(at::Tensor v_a, at::Tensor s_a, at::Tensor v_b, at::Tensor s_b,
at::Tensor v_merged, at::Tensor s_merged);
void merge_state_in_place(at::Tensor v, at::Tensor s, at::Tensor v_other, at::Tensor s_other,
std::optional<at::Tensor> mask);
void merge_states(at::Tensor v, at::Tensor s, at::Tensor v_merged, at::Tensor s_merged);
TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) {
// Merge two self-attention states
m.def("merge_state", merge_state);
// Merge another self-attention state in-place.
m.def("merge_state_in_place", merge_state_in_place);
// "Merge multiple self-attention states"
m.def("merge_states", merge_states);
}