/* * 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 "cutlass_extensions/include/cutlass_extensions/gemm/kernel/mixed_gemm_B_layout.h" #include "common.h" #include inline int getSMVersion() { int device{-1}; cudaGetDevice(&device); int sm_major = 0; int sm_minor = 0; cudaDeviceGetAttribute(&sm_major, cudaDevAttrComputeCapabilityMajor, device); cudaDeviceGetAttribute(&sm_minor, cudaDevAttrComputeCapabilityMinor, device); return sm_major * 10 + sm_minor; } namespace tensorrt_llm { namespace kernels { template struct SupportedLayout { static constexpr bool value = false; }; template <> struct SupportedLayout> { static constexpr bool value = true; }; template <> struct SupportedLayout> { static constexpr bool value = true; }; template bool isEnabled() { using Layout = typename cutlass::gemm::kernel::LayoutDetailsB::Layout; return SupportedLayout::value; } template bool isEnabledForArch(int arch) { if (arch >= 70 && arch < 75) { return isEnabled(); } else if (arch >= 75 && arch < 80) { return isEnabled(); } else if (arch >= 80 && arch <= 90) { return isEnabled(); } else { // TLLM_CHECK_WITH_INFO(false, "Unsupported Arch"); assert(0); return false; } } inline bool isWeightOnlyBatchedGemvEnabled(WeightOnlyQuantType qtype) { const int arch = getSMVersion(); if (qtype == WeightOnlyQuantType::Int4b) { return isEnabledForArch(arch); } else if (qtype == WeightOnlyQuantType::Int8b) { return isEnabledForArch(arch); } else { assert(0); // TLLM_CHECK_WITH_INFO(false, "Unsupported WeightOnlyQuantType"); return false; } } } // namespace kernels } // namespace tensorrt_llm