36 lines
1.7 KiB
Plaintext
36 lines
1.7 KiB
Plaintext
/*
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* Copyright (c) 2025 by FlashInfer team.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "batch_mla_config.inc"
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#include "pytorch_extension_utils.h"
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at::Tensor BatchMLAPagedAttentionPlan(at::Tensor float_workspace_buffer,
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at::Tensor int_workspace_buffer,
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at::Tensor page_locked_int_workspace_buffer,
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at::Tensor qo_indptr, at::Tensor kv_indptr, at::Tensor kv_len,
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int64_t num_heads, int64_t head_dim_o, bool causal);
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void BatchMLAPagedAttentionRun(at::Tensor float_workspace_buffer, at::Tensor int_workspace_buffer,
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at::Tensor plan_info_vec, at::Tensor q_nope, at::Tensor q_pe,
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at::Tensor ckv_cache, at::Tensor kpe_cache, at::Tensor kv_indices,
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at::Tensor o, std::optional<at::Tensor> maybe_lse,
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int64_t mask_mode_code, int64_t num_heads, int64_t page_size,
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double sm_scale);
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TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) {
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m.def("plan", &BatchMLAPagedAttentionPlan);
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m.def("run", &BatchMLAPagedAttentionRun);
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}
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