mirror of
https://github.com/blakeblackshear/frigate.git
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160 lines
5.7 KiB
C++
160 lines
5.7 KiB
C++
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/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2024 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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#include <migraphx/gpu/kernel.hpp>
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#include <migraphx/manage_ptr.hpp>
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#include <migraphx/errors.hpp>
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#include <migraphx/gpu/pack_args.hpp>
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#include <cassert>
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#ifdef _WIN32
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#include <hip/hip_ext.h>
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#else
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// extern declare the function since hip/hip_ext.h header is broken
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extern hipError_t hipExtModuleLaunchKernel(hipFunction_t, // NOLINT
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uint32_t,
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uint32_t,
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uint32_t,
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uint32_t,
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uint32_t,
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uint32_t,
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size_t,
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hipStream_t,
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void**,
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void**,
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hipEvent_t = nullptr,
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hipEvent_t = nullptr,
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uint32_t = 0);
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#endif
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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namespace gpu {
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extern std::string hip_error(int error);
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using hip_module_ptr = MIGRAPHX_MANAGE_PTR(hipModule_t, hipModuleUnload);
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struct kernel_impl
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{
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hip_module_ptr module = nullptr;
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hipFunction_t fun = nullptr;
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};
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hip_module_ptr load_module(const char* image)
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{
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hipModule_t raw_m;
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auto status = hipModuleLoadData(&raw_m, image);
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hip_module_ptr m{raw_m};
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if(status != hipSuccess)
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MIGRAPHX_THROW("Failed to load module: " + hip_error(status));
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return m;
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}
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kernel::kernel(const char* image, const std::string& name) : impl(std::make_shared<kernel_impl>())
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{
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impl->module = load_module(image);
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auto status = hipModuleGetFunction(&impl->fun, impl->module.get(), name.c_str());
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if(hipSuccess != status)
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MIGRAPHX_THROW("Failed to get function: " + name + ": " + hip_error(status));
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}
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void launch_kernel(hipFunction_t fun,
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hipStream_t stream,
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std::size_t global,
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std::size_t local,
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void* kernargs,
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std::size_t size,
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hipEvent_t start,
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hipEvent_t stop)
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{
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assert(global > 0);
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assert(local > 0);
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void* config[] = {
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// HIP_LAUNCH_PARAM_* are macros that do horrible things
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#ifdef MIGRAPHX_USE_CLANG_TIDY
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nullptr, kernargs, nullptr, &size, nullptr
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#else
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HIP_LAUNCH_PARAM_BUFFER_POINTER,
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kernargs,
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HIP_LAUNCH_PARAM_BUFFER_SIZE,
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&size,
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HIP_LAUNCH_PARAM_END
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#endif
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};
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auto status = hipExtModuleLaunchKernel(fun,
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global,
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1,
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1,
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local,
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1,
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1,
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0,
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stream,
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nullptr,
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reinterpret_cast<void**>(&config),
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start,
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stop);
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if(status != hipSuccess)
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MIGRAPHX_THROW("Failed to launch kernel: " + hip_error(status));
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if(stop != nullptr)
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{
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status = hipEventSynchronize(stop);
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if(status != hipSuccess)
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MIGRAPHX_THROW("Failed to sync event: " + hip_error(status));
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}
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}
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void kernel::launch(hipStream_t stream,
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std::size_t global,
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std::size_t local,
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std::vector<void*> args,
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hipEvent_t start,
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hipEvent_t stop) const
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{
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assert(impl != nullptr);
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void* kernargs = reinterpret_cast<void*>(args.data());
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std::size_t size = args.size() * sizeof(void*);
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launch_kernel(impl->fun, stream, global, local, kernargs, size, start, stop);
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}
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void kernel::launch(hipStream_t stream,
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std::size_t global,
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std::size_t local,
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const std::vector<kernel_argument>& args,
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hipEvent_t start,
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hipEvent_t stop) const
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{
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assert(impl != nullptr);
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std::vector<char> kernargs = pack_args(args);
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std::size_t size = kernargs.size();
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launch_kernel(impl->fun, stream, global, local, kernargs.data(), size, start, stop);
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}
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} // namespace gpu
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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