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https://github.com/NVIDIA/TensorRT-LLM.git
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1389f5a4d3
Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com> Co-authored-by: aikitoria <151776613+aikitoria@users.noreply.github.com>
38 lines
1.3 KiB
C++
38 lines
1.3 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 "tensorrt_llm/common/quantization.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
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{
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namespace kernels
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{
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template <typename T, typename QuantT>
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void invokeGeneralLayerNorm(T* out, T const* input, T const* gamma, T const* beta, float const eps, int const tokens,
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int const hidden_dim, tensorrt_llm::common::QuantMode quant_mode, cudaStream_t stream = 0,
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bool use_diff_of_squares = true, float const* clamp_val = nullptr, float const* scale = nullptr,
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float* dynamic_scale = nullptr, float* sum_per_token = nullptr, QuantT* out_quant = nullptr);
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} // namespace kernels
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} // namespace tensorrt_llm
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