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

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/*
* 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_attention_config.inc"
#include "pytorch_extension_utils.h"
at::Tensor BatchPagedAttentionPlan(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 batch_size, int64_t num_qo_heads, int64_t num_kv_heads,
int64_t head_dim_o, bool causal);
void BatchPagedAttentionRun(at::Tensor float_workspace_buffer, at::Tensor int_workspace_buffer,
at::Tensor plan_info_vec, at::Tensor q, at::Tensor k_cache,
at::Tensor v_cache, at::Tensor kv_indices, at::Tensor o,
std::optional<at::Tensor> maybe_lse, int64_t mask_mode_code,
int64_t layout_code, int64_t num_qo_heads, int64_t num_kv_heads,
int64_t page_size, double sm_scale,
double logits_soft_cap ADDITIONAL_FUNC_PARAMS PROFILER_FUNC_PARAMS);
TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) {
m.def("plan", &BatchPagedAttentionPlan);
m.def("run", &BatchPagedAttentionRun);
}