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");
}