mirror of
https://github.com/blakeblackshear/frigate.git
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85 lines
3.3 KiB
C++
85 lines
3.3 KiB
C++
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/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2023 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/driver/action.hpp>
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#include <migraphx/gpu/time_op.hpp>
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#include <migraphx/gpu/context.hpp>
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#include <migraphx/gpu/lowering.hpp>
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#include <migraphx/gpu/compile_ops.hpp>
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#include <migraphx/make_op.hpp>
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#include <migraphx/pass_manager.hpp>
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#include <migraphx/program.hpp>
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#include <migraphx/instruction.hpp>
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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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namespace driver {
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struct precompile_op : action<precompile_op>
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{
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static program create_preop_program(const operation& preop, std::vector<shape> inputs)
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{
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program p;
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auto* mm = p.get_main_module();
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std::vector<instruction_ref> args;
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inputs.pop_back();
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transform(inputs, range(inputs.size()), std::back_inserter(args), [&](auto input, auto i) {
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return mm->add_parameter("x" + std::to_string(i), input);
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});
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mm->add_instruction(preop, args);
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return p;
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}
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static operation get_code_object(const program& p)
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{
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MIGRAPHX_TIDY_CONST auto* mm = p.get_main_module();
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auto it = std::find_if(mm->begin(), mm->end(), [](const auto& ins) {
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return (ins.name() == "gpu::code_object");
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});
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if(it == mm->end())
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MIGRAPHX_THROW("Failed to create code object");
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return it->get_operator();
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}
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static void apply(const parser& p, const value& v)
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{
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context ctx;
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auto inputs = p.parse_shapes(v.at("inputs"));
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auto name = v.at("name").to<std::string>();
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auto preop = make_op(name);
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if(v.contains("fields"))
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preop.from_value(v.at("fields"));
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bool exhaustive = v.get("exhaustive", false);
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auto prog = create_preop_program(preop, inputs);
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run_passes(prog, {lowering{}, compile_ops{&ctx, exhaustive}});
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auto op = get_code_object(prog);
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auto t = time_op(ctx, op, inputs, p.get(v, "iterations", 100));
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std::cout << preop << ": " << t << "ms" << std::endl;
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}
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};
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} // namespace driver
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} // namespace gpu
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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