91 lines
2.3 KiB
C++
91 lines
2.3 KiB
C++
/*
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* Copyright (c) 2023, NVIDIA CORPORATION.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include <cuda_fp16.h>
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#include <cuda_fp8.h>
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#include <cuda_runtime_api.h>
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#include <stdexcept>
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#include <string>
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#define CUDA_CHECK(val) \
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{ nv::cuda_check_((val), __FILE__, __LINE__); }
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namespace nv {
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template <typename T>
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struct is_fp8 : std::false_type {};
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template <>
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struct is_fp8<__nv_fp8_e4m3> : std::true_type {};
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template <>
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struct is_fp8<__nv_fp8_e5m2> : std::true_type {};
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class CudaException : public std::runtime_error {
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public:
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CudaException(const std::string& what) : runtime_error(what) {}
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};
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inline void cuda_check_(cudaError_t val, const char* file, int line) {
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if (val != cudaSuccess) {
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throw CudaException(std::string(file) + ":" + std::to_string(line) + ": CUDA error " +
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std::to_string(val) + ": " + cudaGetErrorString(val));
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}
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}
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class CudaDeviceRestorer {
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public:
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CudaDeviceRestorer() { CUDA_CHECK(cudaGetDevice(&dev_)); }
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~CudaDeviceRestorer() { CUDA_CHECK(cudaSetDevice(dev_)); }
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void check_device(int device) const {
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if (device != dev_) {
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throw std::runtime_error(
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std::string(__FILE__) + ":" + std::to_string(__LINE__) +
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": Runtime Error: The device id in the context is not consistent with configuration");
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}
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}
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private:
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int dev_;
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};
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inline int get_dev(const void* ptr) {
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cudaPointerAttributes attr;
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CUDA_CHECK(cudaPointerGetAttributes(&attr, ptr));
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int dev = -1;
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#if CUDART_VERSION >= 10000
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if (attr.type == cudaMemoryTypeDevice)
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#else
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if (attr.memoryType == cudaMemoryTypeDevice)
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#endif
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{
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dev = attr.device;
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}
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return dev;
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}
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inline void switch_to_dev(const void* ptr) {
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int dev = get_dev(ptr);
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if (dev >= 0) {
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CUDA_CHECK(cudaSetDevice(dev));
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}
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}
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} // namespace nv
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