/* * Copyright (c) 2023-2025 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 "pod_config.inc" #include "pytorch_extension_utils.h" void pod_with_kv_cache_tensor( // Prefill params at::Tensor q_p, at::Tensor k_p, at::Tensor v_p, at::Tensor tmp_p, at::Tensor o_p, std::optional maybe_lse_p, int64_t mask_mode_code_p, int64_t layout_p, int64_t window_left_p, std::optional maybe_custom_mask_p, std::optional maybe_alibi_slopes_p, double logits_soft_cap_p, double sm_scale_p, double rope_rcp_scale_p, double rope_rcp_theta_p, // Decode params at::Tensor float_workspace_buffer_d, at::Tensor int_workspace_buffer_d, at::Tensor plan_info_vec, at::Tensor q_d, at::Tensor paged_k_cache_d, at::Tensor paged_v_cache_d, at::Tensor qo_indptr_d, at::Tensor paged_kv_indptr_d, at::Tensor paged_kv_indices_d, at::Tensor paged_kv_last_page_len_d, at::Tensor o_d, std::optional maybe_lse_d, int64_t mask_mode_code_d, int64_t layout_d, int64_t window_left_d, std::optional maybe_custom_mask_d, std::optional maybe_mask_indptr_d, std::optional maybe_alibi_slopes_d, double logits_soft_cap_d, double sm_scale_d, double rope_rcp_scale_d, double rope_rcp_theta_d, bool enable_pdl); TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) { // Batch-request prefill attention with KV-Cache operator m.def("pod_with_kv_cache_tensor", pod_with_kv_cache_tensor); }