38 lines
1.8 KiB
Plaintext
38 lines
1.8 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 "flashinfer/attention/blackwell/plan.cuh"
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#include "pytorch_extension_utils.h"
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void blackwell_fmha_plan(at::Tensor qo_segment_offsets, at::Tensor kv_segment_offsets,
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at::Tensor work_indptr, at::Tensor qo_tile_indices,
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at::Tensor head_indices, at::Tensor batch_indices, int64_t qo_tile_size,
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int64_t num_heads, int64_t num_buckets, bool causal) {
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const c10::cuda::OptionalCUDAGuard device_guard(qo_segment_offsets.device());
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const cudaStream_t stream = c10::cuda::getCurrentCUDAStream();
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int batch_size = qo_segment_offsets.size(0) - 1;
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auto status = flashinfer::plan_kernel_wrapper(
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static_cast<int*>(qo_segment_offsets.data_ptr()),
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static_cast<int*>(kv_segment_offsets.data_ptr()),
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/*qo_lens=*/nullptr,
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/*kv_lens=*/nullptr, static_cast<int*>(work_indptr.data_ptr()),
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static_cast<int*>(qo_tile_indices.data_ptr()), static_cast<int*>(head_indices.data_ptr()),
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static_cast<int*>(batch_indices.data_ptr()), qo_tile_size, batch_size, num_heads, num_buckets,
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causal, /*enable_pdl=*/true, stream);
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TORCH_CHECK(status == cudaSuccess, "Failed to plan blackwell fmha", cudaGetErrorString(status));
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}
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