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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.
*/
#ifndef GROUPNORM_KERNEL_H
#define GROUPNORM_KERNEL_H
#include "groupNormPluginCommon.h"
#include <cstdint>
#include <cuda.h>
#include <cuda_fp16.h>
#include <cuda_runtime_api.h>
namespace MNN {
namespace CUDA {
using half = __half;
static inline int32_t divUp(int32_t m, int32_t n)
{
return (m + n - 1) / n;
}
void groupNormNHWCSum(GroupNormNHWCParams const& params, cudaStream_t stream = 0);
void groupNormNHWCScale(GroupNormNHWCParams const& params, cudaStream_t stream = 0);
} // namespace CUDA
} // namespace MNN
#endif // GROUPNORM_KERNEL_H