/*
 * Copyright (c) 2019-2023, NVIDIA CORPORATION.  All rights reserved.
 *
 * 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.
 */

#pragma once

#include "tensorrt_llm/common/cudaUtils.h"
#include "tensorrt_llm/common/quantization.h"
#include <assert.h>
#include <cuda_fp16.h>
#include <cuda_runtime.h>

namespace tensorrt_llm
{
namespace kernels
{

template <typename T, typename QuantT>
void invokeGeneralLayerNorm(T* out, T const* input, T const* gamma, T const* beta, float const eps, int const tokens,
    int const hidden_dim, tensorrt_llm::common::QuantMode quant_mode, cudaStream_t stream = 0,
    bool use_diff_of_squares = true, float const* clamp_val = nullptr, float const* scale = nullptr,
    float* dynamic_scale = nullptr, float* sum_per_token = nullptr, QuantT* out_quant = nullptr);

} // namespace kernels
} // namespace tensorrt_llm