TensorRT-LLMs/cpp/tensorrt_llm/plugins/gemmSwigluPlugin/gemmSwigluPlugin.cu
Kaiyu Xie b777bd6475
Update TensorRT-LLM (#1725)
* Update TensorRT-LLM

---------

Co-authored-by: RunningLeon <mnsheng@yeah.net>
Co-authored-by: Tlntin <TlntinDeng01@Gmail.com>
Co-authored-by: ZHENG, Zhen <zhengzhen.z@qq.com>
Co-authored-by: Pham Van Ngoan <ngoanpham1196@gmail.com>
Co-authored-by: Nathan Price <nathan@abridge.com>
Co-authored-by: Tushar Goel <tushar.goel.ml@gmail.com>
Co-authored-by: Mati <132419219+matichon-vultureprime@users.noreply.github.com>
2024-06-04 20:26:32 +08:00

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/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION &
* AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0
*
* 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.
*/
#include "gemmSwigluPlugin.h"
#include "cutlass/util/reference/device/tensor_fill.h"
#include "cutlass_extensions/gemm_configs.h"
using namespace nvinfer1;
using namespace tensorrt_llm::common;
using namespace tensorrt_llm::kernels::cutlass_kernels;
using tensorrt_llm::plugins::GemmSwigluPluginCreator;
using tensorrt_llm::plugins::GemmSwigluPlugin;
using tensorrt_llm::plugins::GemmSwigluPluginProfiler;
using tensorrt_llm::plugins::read;
using tensorrt_llm::plugins::write;
void GemmSwigluPluginProfiler::initTmpData(int m, int n, int k, char* workspace, size_t size, cudaStream_t stream)
{
size_t bpe = getBytePerElement(mType);
if (mType == nvinfer1::DataType::kFP8)
{
cutlass::reference::device::BlockFillRandomUniform(reinterpret_cast<cutlass::float_e4m3_t*>(workspace),
m * k + n * k + 1 * n, 42, cutlass::float_e4m3_t{128}, -cutlass::float_e4m3_t{128}, -1, stream);
}
}