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/*
* Copyright (c) 2022-2024, 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.
*/
#include "kernel.h"
namespace tensorrt_llm
{
namespace kernels
{
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyPerChannel,
IdentityActivation, false, false, 2, 3, 256>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<64>,
IdentityActivation, true, true, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<64>,
IdentityActivation, true, false, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<64>,
IdentityActivation, false, true, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<64>,
IdentityActivation, false, false, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<128>,
IdentityActivation, true, true, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<128>,
IdentityActivation, true, false, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<128>,
IdentityActivation, false, true, 2, 3, 128>;
template struct WeightOnlyBatchedGemvKernelLauncher<WeightOnlyQuantType::Int4b, WeightOnlyGroupWise<128>,
IdentityActivation, false, false, 2, 3, 128>;
} // namespace kernels
} // namespace tensorrt_llm
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