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Signed-off-by: yunruis <yunruis@nvidia.com> Signed-off-by: kduan <176893526+Kefeng-Duan@users.noreply.github.com> Signed-off-by: Kefeng-Duan <176893526+Kefeng-Duan@users.noreply.github.com> Co-authored-by: kduan <176893526+Kefeng-Duan@users.noreply.github.com>
31 lines
1.0 KiB
C++
31 lines
1.0 KiB
C++
/*
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* Copyright (c) 2019-2023, NVIDIA CORPORATION. All rights reserved.
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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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#pragma once
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#include "tensorrt_llm/common/cudaUtils.h"
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#include <assert.h>
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#include <cuda_fp16.h>
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#include <cuda_runtime.h>
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namespace tensorrt_llm::kernels::dsv3MinLatencyKernels
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{
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template <typename T, int kNumTokens, int kNumExperts, int kHiddenDim>
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void invokeRouterGemm(float* output, T const* mat_a, T const* mat_b, cudaStream_t stream);
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} // namespace tensorrt_llm::kernels::dsv3MinLatencyKernels
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