/* * 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. */ #pragma once #include #include #include namespace tensorrt_llm { namespace kernels { namespace weight_only { template struct I2FConverter; template struct I2FConverter { static_assert(std::is_same_v || std::is_same_v); static_assert(WElemBits == 4 || WElemBits == 8); using CutlassAType = std::conditional_t, cutlass::half_t, cutlass::bfloat16_t>; using CutlassWType = std::conditional_t; static constexpr int kConvertCount = 32 / WElemBits; using Converter = cutlass::FastInterleavedAndBiasedNumericArrayConverter; using CvtSrcType = typename Converter::source_type; using CvtResType = typename Converter::result_type; template __device__ __forceinline__ static void convert(void* src, void* dst) { static_assert(N % kConvertCount == 0); #pragma unroll for (int ii = 0; ii < N / kConvertCount; ++ii) { reinterpret_cast(dst)[ii] = Converter::convert(reinterpret_cast(src)[ii]); } } }; template struct I2FConverter { static_assert(std::is_same_v || std::is_same_v); static_assert(WElemBits == 4 || WElemBits == 8); using CutlassAType = std::conditional_t, cutlass::half_t, cutlass::bfloat16_t>; using CutlassWType = std::conditional_t; static constexpr int kConvertCount = 32 / WElemBits; using Converter = cutlass::NumericArrayConverter; using CvtSrcType = typename Converter::source_type; using CvtResType = typename Converter::result_type; template __device__ __forceinline__ static void convert(void* src, void* dst) { static_assert(N % kConvertCount == 0); #pragma unroll for (int ii = 0; ii < N / kConvertCount; ++ii) { reinterpret_cast(dst)[ii] = Converter::convert(reinterpret_cast(src)[ii]); } } }; } // namespace weight_only } // namespace kernels } // namespace tensorrt_llm