Files
2026-07-13 13:35:51 +08:00

91 lines
2.3 KiB
C++

/*
* Copyright (c) 2023, NVIDIA CORPORATION.
*
* 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 <cuda_fp16.h>
#include <cuda_fp8.h>
#include <cuda_runtime_api.h>
#include <stdexcept>
#include <string>
#define CUDA_CHECK(val) \
{ nv::cuda_check_((val), __FILE__, __LINE__); }
namespace nv {
template <typename T>
struct is_fp8 : std::false_type {};
template <>
struct is_fp8<__nv_fp8_e4m3> : std::true_type {};
template <>
struct is_fp8<__nv_fp8_e5m2> : std::true_type {};
class CudaException : public std::runtime_error {
public:
CudaException(const std::string& what) : runtime_error(what) {}
};
inline void cuda_check_(cudaError_t val, const char* file, int line) {
if (val != cudaSuccess) {
throw CudaException(std::string(file) + ":" + std::to_string(line) + ": CUDA error " +
std::to_string(val) + ": " + cudaGetErrorString(val));
}
}
class CudaDeviceRestorer {
public:
CudaDeviceRestorer() { CUDA_CHECK(cudaGetDevice(&dev_)); }
~CudaDeviceRestorer() { CUDA_CHECK(cudaSetDevice(dev_)); }
void check_device(int device) const {
if (device != dev_) {
throw std::runtime_error(
std::string(__FILE__) + ":" + std::to_string(__LINE__) +
": Runtime Error: The device id in the context is not consistent with configuration");
}
}
private:
int dev_;
};
inline int get_dev(const void* ptr) {
cudaPointerAttributes attr;
CUDA_CHECK(cudaPointerGetAttributes(&attr, ptr));
int dev = -1;
#if CUDART_VERSION >= 10000
if (attr.type == cudaMemoryTypeDevice)
#else
if (attr.memoryType == cudaMemoryTypeDevice)
#endif
{
dev = attr.device;
}
return dev;
}
inline void switch_to_dev(const void* ptr) {
int dev = get_dev(ptr);
if (dev >= 0) {
CUDA_CHECK(cudaSetDevice(dev));
}
}
} // namespace nv