optimum/quanto/library/extensions/cuda/pybind_module.cpp (15 lines of code) (raw):

// Copyright 2024 The HuggingFace Team. 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 <torch/extension.h> #include "awq/v2/gemm_cuda.h" #include "awq/v2/gemv_cuda.h" #include "unpack.h" #include "marlin/fp8_marlin.cuh" #include "marlin/gptq_marlin_repack.cuh" #include "marlin/marlin_cuda.h" // !IMPORTANT! Some python objects such as dtype, device, are not mapped to C++ types, // and need to be explicitly converted using dedicated helpers before calling a C++ method. // As a consequence, when an operation takes such an object as parameter, instead // of creating a binding directly to the C++ method, you must create a binding to a // lambda method that converts the unmapped types and calls the C++ method. // See the binding of quantize_symmetric for instance. PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { m.def("awq_v2_gemm_f16i4", &awq_v2_gemm_f16i4, "awq_v2_gemm_f16i4"); m.def("awq_v2_gemv_f16i4", &awq_v2_gemv_f16i4, "awq_v2_gemv_f16i4"); m.def("gptq_marlin_repack", &gptq_marlin_repack, "gptq_marlin_repack"); m.def("fp8_marlin_gemm", &fp8_marlin_gemm, "fp8_marlin_gemm"); m.def("marlin_gemm_f16i4", &mul, "marlin_gemm_f16i4"); m.def("unpack", &unpack, "unpack"); }