sglang_v0.5.2/flashinfer_0.3.1/csrc/batch_mla_sm90_pybind.cu

38 lines
1.9 KiB
Plaintext

/*
* Copyright (c) 2025 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 "batch_mla_sm90_config.inc"
#include "pytorch_extension_utils.h"
at::Tensor BatchMLAPagedAttentionSM90Plan(at::Tensor float_workspace_buffer,
at::Tensor int_workspace_buffer,
at::Tensor page_locked_int_workspace_buffer,
at::Tensor qo_indptr, at::Tensor kv_indptr,
at::Tensor kv_len, int64_t num_heads, int64_t head_dim_o,
bool causal);
void BatchMLAPagedAttentionSM90Run(at::Tensor float_workspace_buffer,
at::Tensor int_workspace_buffer, at::Tensor plan_info_vec,
at::Tensor q_nope, at::Tensor q_pe, at::Tensor ckv_cache,
at::Tensor kpe_cache, at::Tensor kv_indices, at::Tensor o,
std::optional<at::Tensor> maybe_lse, int64_t mask_mode_code,
int64_t num_heads, int64_t page_size,
double sm_scale ADDITIONAL_FUNC_PARAMS);
TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) {
m.def("plan", &BatchMLAPagedAttentionSM90Plan);
m.def("run", &BatchMLAPagedAttentionSM90Run);
}