wehub-resource-sync
50 lines
1.8 KiB
Plaintext
50 lines
1.8 KiB
Plaintext
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* 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 "common/kernels/kernel.h"
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namespace nvinfer1
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{
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namespace plugin
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{
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template <unsigned nthdsPerCTA>
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__launch_bounds__(nthdsPerCTA) __global__
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void pReLUKernel(const int n, const float negativeSlope, const float* input, float* output)
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{
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for (int i = blockIdx.x * nthdsPerCTA + threadIdx.x; i < n; i += gridDim.x * nthdsPerCTA)
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{
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output[i] = input[i] > 0 ? input[i] : input[i] * negativeSlope;
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}
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}
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pluginStatus_t lReLUGPU(cudaStream_t stream, const int n, const float negativeSlope, const void* input, void* output)
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{
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const int BS = 512;
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const int GS = (n + BS - 1) / BS;
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pReLUKernel<BS><<<GS, BS, 0, stream>>>(n, negativeSlope,
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(const float*) input,
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(float*) output);
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return STATUS_SUCCESS;
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}
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pluginStatus_t lReLUInference(
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cudaStream_t stream, const int n, const float negativeSlope, const void* input, void* output)
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{
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return lReLUGPU(stream, n, negativeSlope, (const float*) input, (float*) output);
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}
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} // namespace plugin
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} // namespace nvinfer1
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