46 lines
1.9 KiB
Plaintext
46 lines
1.9 KiB
Plaintext
/*
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* Copyright (c) 2024 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 <flashinfer/attention/cutlass_mla.cuh>
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#include "pytorch_extension_utils.h"
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using namespace flashinfer;
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using namespace flashinfer::attention;
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void CutlassMLAPagedAttention(at::Tensor workspace, at::Tensor out, at::Tensor lse,
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at::Tensor q_nope_pe, at::Tensor ckv_kpe_cache, at::Tensor kv_lens,
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at::Tensor page_table) {
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const c10::cuda::OptionalCUDAGuard device_guard(q_nope_pe.device());
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auto stream = at::cuda::getCurrentCUDAStream();
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int device_index = q_nope_pe.device().index();
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int batches = q_nope_pe.sizes()[0];
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int page_count_per_seq = page_table.sizes()[1];
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int page_count_total = ckv_kpe_cache.sizes()[0];
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int page_size = ckv_kpe_cache.sizes()[1];
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DISPATCH_PYTORCH_DTYPE_TO_CTYPE_FP16(q_nope_pe.scalar_type(), c_type, [&] {
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using cutlass_t = cutlass_dtype_t<c_type>;
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auto status = runMla<cutlass_t>(
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workspace.data_ptr(), out.data_ptr(), lse.data_ptr(), q_nope_pe.data_ptr(),
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ckv_kpe_cache.data_ptr(), kv_lens.data_ptr(), page_table.data_ptr(), batches,
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page_count_per_seq, page_count_total, page_size, device_index, stream);
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TORCH_CHECK(status == cudaSuccess,
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"Failed to run CutlassMLAPagedAttention: ", cudaGetErrorString(status));
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return true;
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});
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}
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