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