mirror of
https://github.com/blakeblackshear/frigate.git
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118 lines
4.2 KiB
C++
118 lines
4.2 KiB
C++
/*
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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/operation.hpp>
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#include <migraphx/float_equal.hpp>
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#include <migraphx/instruction_ref.hpp>
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#include <migraphx/quantization.hpp>
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#include <migraphx/quantize_8bits.hpp>
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#include <migraphx/program.hpp>
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#include <migraphx/instruction.hpp>
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#include <migraphx/iterator_for.hpp>
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#include <migraphx/stringutils.hpp>
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#include <migraphx/op/capture.hpp>
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#include <migraphx/ranges.hpp>
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#include <migraphx/target.hpp>
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#include <migraphx/make_op.hpp>
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#include <migraphx/pass_manager.hpp>
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#include <numeric>
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#include <set>
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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static std::vector<shape::type_t>& get_quantizable_type()
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{
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static std::vector<shape::type_t> quantable_types = {
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shape::float_type, shape::double_type, shape::half_type};
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return quantable_types;
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}
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void quantize_8bits_pass::apply(module& m) const // NOLINT
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{
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const auto& quantizable_types = get_quantizable_type();
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for(auto ins : iterator_for(m))
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{
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if(ins->name() != "capture")
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continue;
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auto op_val = ins->get_operator().to_value();
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assert(op_val.contains("ins_index"));
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auto param_index = op_val.at("ins_index").to<std::size_t>();
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auto param = quant_params[param_index];
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auto input = ins->inputs().front();
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auto s = input->get_shape();
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if(contains(quantizable_types, s.type()) and s.type() != precision)
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{
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auto zero_point =
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m.add_literal(migraphx::literal{migraphx::shape{precision}, {param.second}});
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auto scale = m.add_literal(literal({s.type()}, {1.0f / param.first}));
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const auto& lens = s.lens();
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scale =
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m.insert_instruction(ins, make_op("multibroadcast", {{"out_lens", lens}}), scale);
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zero_point = m.insert_instruction(
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ins, make_op("multibroadcast", {{"out_lens", lens}}), zero_point);
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auto q_in =
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m.insert_instruction(ins, make_op("quantizelinear"), input, scale, zero_point);
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auto dq_in =
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m.insert_instruction(ins, make_op("dequantizelinear"), q_in, scale, zero_point);
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m.replace_instruction(ins, dq_in);
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}
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}
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}
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void capture_arguments_pass::apply(module& m) const // NOLINT
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{
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assert(param_index != nullptr);
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const auto& quantizable_types = get_quantizable_type();
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for(auto ins : iterator_for(m))
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{
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if((not contains(ins_names, ins->name())) or (ins->name() == "convert"))
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{
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continue;
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}
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auto inputs = ins->inputs();
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std::vector<instruction_ref> new_args;
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for(auto input : inputs)
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{
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if(contains(quantizable_types, input->get_shape().type()))
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{
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auto new_in = m.insert_instruction(ins, op::capture{(*param_index)++, f}, input);
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new_args.push_back(new_in);
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}
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else
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{
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new_args.push_back(input);
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}
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}
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m.replace_instruction(ins, ins->get_operator(), new_args);
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}
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}
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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