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57c3a10 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | /*
* 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.
*/
#ifndef FLASHINFER_SEMAPHORE_UTILS_CUH
#define FLASHINFER_SEMAPHORE_UTILS_CUH
#include <cuda_runtime.h>
#include "utils.cuh"
namespace flashinfer {
template <typename T>
__global__ void zero_gmem_semaphore(T* semaphore, int size) {
for (int i = threadIdx.x; i < size; i += blockDim.x) {
semaphore[i] = 0;
}
}
template <typename T>
cudaError_t zero_gmem_semaphore_launcher(T* semaphore, int size, bool enable_pdl,
cudaStream_t stream) {
cudaLaunchConfig_t config = {0};
config.gridDim = 1;
config.blockDim = 128;
config.dynamicSmemBytes = 0;
config.stream = stream;
cudaLaunchAttribute attrs[1];
attrs[0].id = cudaLaunchAttributeProgrammaticStreamSerialization;
attrs[0].val.programmaticStreamSerializationAllowed = enable_pdl;
config.numAttrs = 1;
config.attrs = attrs;
FLASHINFER_CUDA_CALL(cudaLaunchKernelEx(&config, zero_gmem_semaphore<T>, semaphore, size));
return cudaSuccess;
}
} // namespace flashinfer
#endif // FLASHINFER_SEMAPHORE_UTILS_CUH
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