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Use CUDA 11.2+ features via dlopen (#990)
By binding to the cudart 11.2 functions at runtime we remove the requirement that these symbols exist, therefore allowing RMM to be compiled with 11.2+ and used with 11.0 or 11.1. Authors: - Robert Maynard (https://github.com/robertmaynard) Approvers: - Jake Hemstad (https://github.com/jrhemstad) - Rong Ou (https://github.com/rongou) - Mark Harris (https://github.com/harrism) URL: #990
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| /* | ||
| * Copyright (c) 2022, 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_runtime_api.h> | ||
| #include <dlfcn.h> | ||
| #include <memory> | ||
| #include <optional> | ||
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| namespace rmm::detail { | ||
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| /** | ||
| * @brief `dynamic_load_runtime` loads the cuda runtime library at runtime | ||
| * | ||
| * By loading the cudart library at runtime we can use functions that | ||
| * are added in newer minor versions of the cuda runtime. | ||
| */ | ||
| struct dynamic_load_runtime { | ||
| static void* get_cuda_runtime_handle() | ||
| { | ||
| auto close_cudart = [](void* handle) { ::dlclose(handle); }; | ||
| auto open_cudart = []() { | ||
| ::dlerror(); | ||
| const int major = CUDART_VERSION / 1000; | ||
| const std::string libname_ver = "libcudart.so." + std::to_string(major) + ".0"; | ||
| const std::string libname = "libcudart.so"; | ||
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| auto ptr = ::dlopen(libname_ver.c_str(), RTLD_LAZY); | ||
| if (!ptr) { ptr = ::dlopen(libname.c_str(), RTLD_LAZY); } | ||
| if (ptr) { return ptr; } | ||
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|
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| RMM_FAIL("Unable to dlopen cudart"); | ||
| }; | ||
| static std::unique_ptr<void, decltype(close_cudart)> cudart_handle{open_cudart(), close_cudart}; | ||
| return cudart_handle.get(); | ||
| } | ||
|
|
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| template <typename... Args> | ||
| using function_sig = std::add_pointer_t<cudaError_t(Args...)>; | ||
|
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| template <typename signature> | ||
| static std::optional<signature> function(const char* func_name) | ||
| { | ||
| auto* runtime = get_cuda_runtime_handle(); | ||
| auto* handle = ::dlsym(runtime, func_name); | ||
| if (!handle) { return std::nullopt; } | ||
| auto* function_ptr = reinterpret_cast<signature>(handle); | ||
| return std::optional<signature>(function_ptr); | ||
| } | ||
| }; | ||
|
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| #if defined(RMM_STATIC_CUDART) | ||
| // clang-format off | ||
| #define RMM_CUDART_API_WRAPPER(name, signature) \ | ||
| template <typename... Args> \ | ||
| static cudaError_t name(Args... args) \ | ||
| { \ | ||
| _Pragma("GCC diagnostic push") \ | ||
| _Pragma("GCC diagnostic ignored \"-Waddress\"") \ | ||
| static_assert(static_cast<signature>(::name), \ | ||
| "Failed to find #name function with arguments #signature"); \ | ||
| _Pragma("GCC diagnostic pop") \ | ||
| return ::name(args...); \ | ||
| } | ||
| // clang-format on | ||
| #else | ||
| #define RMM_CUDART_API_WRAPPER(name, signature) \ | ||
| template <typename... Args> \ | ||
| static cudaError_t name(Args... args) \ | ||
| { \ | ||
| static const auto func = dynamic_load_runtime::function<signature>(#name); \ | ||
| if (func) { return (*func)(args...); } \ | ||
| RMM_FAIL("Failed to find #name function in libcudart.so"); \ | ||
| } | ||
| #endif | ||
|
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| #if CUDART_VERSION >= 11020 // 11.2 introduced cudaMallocAsync | ||
| /** | ||
| * @brief Bind to the stream-ordered memory allocator functions | ||
| * at runtime. | ||
| * | ||
| * This allows RMM users to compile/link against CUDA 11.2+ and run with | ||
| * < CUDA 11.2 runtime as these functions are found at call time. | ||
| */ | ||
| struct async_alloc { | ||
| static bool is_supported() | ||
| { | ||
| #if defined(RMM_STATIC_CUDART) | ||
| static bool runtime_supports_pool = (CUDART_VERSION >= 11020); | ||
| #else | ||
| static bool runtime_supports_pool = | ||
| dynamic_load_runtime::function<dynamic_load_runtime::function_sig<void*, cudaStream_t>>( | ||
| "cudaFreeAsync") | ||
| .has_value(); | ||
| #endif | ||
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| static auto driver_supports_pool{[] { | ||
| int cuda_pool_supported{}; | ||
| auto result = cudaDeviceGetAttribute(&cuda_pool_supported, | ||
| cudaDevAttrMemoryPoolsSupported, | ||
| rmm::detail::current_device().value()); | ||
| return result == cudaSuccess and cuda_pool_supported == 1; | ||
| }()}; | ||
| return runtime_supports_pool and driver_supports_pool; | ||
| } | ||
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| template <typename... Args> | ||
| using cudart_sig = dynamic_load_runtime::function_sig<Args...>; | ||
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| using cudaMemPoolCreate_sig = cudart_sig<cudaMemPool_t*, const cudaMemPoolProps*>; | ||
| RMM_CUDART_API_WRAPPER(cudaMemPoolCreate, cudaMemPoolCreate_sig); | ||
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| using cudaMemPoolSetAttribute_sig = cudart_sig<cudaMemPool_t, cudaMemPoolAttr, void*>; | ||
| RMM_CUDART_API_WRAPPER(cudaMemPoolSetAttribute, cudaMemPoolSetAttribute_sig); | ||
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| using cudaMemPoolDestroy_sig = cudart_sig<cudaMemPool_t>; | ||
| RMM_CUDART_API_WRAPPER(cudaMemPoolDestroy, cudaMemPoolDestroy_sig); | ||
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| using cudaMallocFromPoolAsync_sig = cudart_sig<void**, size_t, cudaMemPool_t, cudaStream_t>; | ||
| RMM_CUDART_API_WRAPPER(cudaMallocFromPoolAsync, cudaMallocFromPoolAsync_sig); | ||
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| using cudaFreeAsync_sig = cudart_sig<void*, cudaStream_t>; | ||
| RMM_CUDART_API_WRAPPER(cudaFreeAsync, cudaFreeAsync_sig); | ||
| }; | ||
| #endif | ||
|
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| #undef RMM_CUDART_API_WRAPPER | ||
| } // namespace rmm::detail |
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