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/* LSOracle: A learning based Oracle for Logic Synthesis | ||
* MIT License | ||
* Copyright 2019 Laboratory for Nano Integrated Systems (LNIS) | ||
* | ||
* Permission is hereby granted, free of charge, to any person | ||
* obtaining a copy of this software and associated documentation | ||
* files (the "Software"), to deal in the Software without | ||
* restriction, including without limitation the rights to use, | ||
* copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
* copies of the Software, and to permit persons to whom the | ||
* Software is furnished to do so, subject to the following | ||
* conditions: | ||
* | ||
* The above copyright notice and this permission notice shall be | ||
* included in all copies or substantial portions of the Software. | ||
* | ||
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | ||
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES | ||
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND | ||
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT | ||
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, | ||
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING | ||
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR | ||
* OTHER DEALINGS IN THE SOFTWARE. | ||
*/ | ||
#include "algorithms/optimization/optimizer.hpp" | ||
#include "algorithms/optimization/optimizers/aig.hpp" | ||
#include "algorithms/optimization/optimizers/mig.hpp" | ||
#include "algorithms/optimization/optimizers/xag.hpp" | ||
#include "algorithms/optimization/optimizers/xmg.hpp" | ||
#include "algorithms/optimization/optimizers/abc.hpp" | ||
#include "algorithms/optimization/optimizers/noop.hpp" | ||
namespace oracle { | ||
template <typename network> | ||
optimizer<network> *optimize(optimization_strategy_comparator<network> &comparator, | ||
optimization_strategy strategy, | ||
const mockturtle::window_view<mockturtle::names_view<network>> &part, | ||
int index, | ||
const std::string &abc_exec) | ||
{ | ||
std::cout << "******************************** optimizing partition " << index << " ********************************" << std::endl; | ||
std::cout << "Optimizing based on strategy " << comparator.name() << std::endl; | ||
// depth_view part_depth(part); | ||
// std::cout << "Original depth " << part_depth.depth() << " gates " << part_depth.num_gates() << " size " << part_depth.size() << std::endl; | ||
// todo this is gonna leak memory. | ||
std::vector<optimizer<network>*>optimizers { | ||
new noop<network>(index, part, strategy, abc_exec), | ||
new migscript_optimizer<network>(index, part, strategy, abc_exec), | ||
new migscript2_optimizer<network>(index, part, strategy, abc_exec), | ||
new migscript3_optimizer<network>(index, part, strategy, abc_exec), | ||
new aigscript_optimizer<network>(index, part, strategy, abc_exec), | ||
new aigscript2_optimizer<network>(index, part, strategy, abc_exec), | ||
new aigscript3_optimizer<network>(index, part, strategy, abc_exec), | ||
new aigscript4_optimizer<network>(index, part, strategy, abc_exec), | ||
new aigscript5_optimizer<network>(index, part, strategy, abc_exec), | ||
new xmg_optimizer<network>(index, part, strategy, abc_exec), | ||
new xag_optimizer<network>(index, part, strategy, abc_exec), | ||
// new abc_optimizer<network>(index, part, strategy, abc_exec), | ||
}; | ||
optimizer<network> *best = nullptr; | ||
for (auto opt = optimizers.begin(); opt != optimizers.end(); opt++) { | ||
std::cout << "running optimization " << (*opt)->optimizer_name() << std::endl; | ||
// std::cout << "converting network" << std::endl; | ||
(*opt)->convert(); | ||
// std::cout << "trying to optimize" << std::endl; | ||
(*opt)->optimize(); | ||
// std::cout << "checking tech independent metrics." << std::endl; | ||
node_depth result = (*opt)->independent_metric(); | ||
std::cout << "result depth " << result.depth | ||
<< " size " << result.nodes << std::endl; | ||
|
||
if (best == nullptr) { | ||
best = *opt; | ||
continue; | ||
} | ||
|
||
if (comparator(**opt, *best)) { | ||
best = *opt; | ||
//std::cout << "found a better result" << std::endl; | ||
continue; | ||
} | ||
} | ||
std::cout << "using " << best->optimizer_name() << " for " << index << std::endl; | ||
|
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return best; | ||
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} | ||
template optimizer<mockturtle::aig_network> *optimize( | ||
optimization_strategy_comparator<mockturtle::aig_network> &, | ||
optimization_strategy, | ||
const mockturtle::window_view<mockturtle::names_view<mockturtle::aig_network>> &, | ||
int, | ||
const std::string &); | ||
} |
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/* LSOracle: A learning based Oracle for Logic Synthesis | ||
* MIT License | ||
* Copyright 2019 Laboratory for Nano Integrated Systems (LNIS) | ||
* | ||
* Permission is hereby granted, free of charge, to any person | ||
* obtaining a copy of this software and associated documentation | ||
* files (the "Software"), to deal in the Software without | ||
* restriction, including without limitation the rights to use, | ||
* copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
* copies of the Software, and to permit persons to whom the | ||
* Software is furnished to do so, subject to the following | ||
* conditions: | ||
* | ||
* The above copyright notice and this permission notice shall be | ||
* included in all copies or substantial portions of the Software. | ||
* | ||
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | ||
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES | ||
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND | ||
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT | ||
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, | ||
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING | ||
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR | ||
* OTHER DEALINGS IN THE SOFTWARE. | ||
*/ | ||
#pragma once | ||
#include <string> | ||
#include <mockturtle/mockturtle.hpp> | ||
// #include "algorithms/optimization/optimizers/strategy.hpp" | ||
// #include "algorithms/optimization/optimizers/aig.hpp" | ||
// #include "algorithms/optimization/optimizers/mig.hpp" | ||
// #include "algorithms/optimization/optimizers/xag.hpp" | ||
// #include "algorithms/optimization/optimizers/xmg.hpp" | ||
// #include "algorithms/optimization/optimizers/abc.hpp" | ||
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namespace oracle { | ||
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enum optimization_strategy { size, balanced, depth }; | ||
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struct node_depth { | ||
int nodes; | ||
int depth; | ||
}; | ||
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template<typename network> | ||
class optimizer | ||
{ | ||
public: | ||
/** | ||
* human readable name | ||
*/ | ||
virtual const std::string optimizer_name() = 0; | ||
/** | ||
* Do any conversion necessary from original network type to the internal network type. | ||
*/ | ||
virtual void convert() = 0; | ||
/** | ||
* Perform optimization | ||
*/ | ||
virtual void optimize() = 0; | ||
/** | ||
* Calculate tech independent depth and nodes metrics. | ||
*/ | ||
virtual node_depth independent_metric() = 0; | ||
/** | ||
* List the type of optimization: area, delay, or balanced. | ||
*/ | ||
virtual optimization_strategy target() = 0; | ||
/** | ||
* Techmap, then return a path to a file containing the techmapped verilog. | ||
*/ | ||
virtual std::string techmap(const std::string &liberty_file, const std::string &temp_prefix) = 0; | ||
/** | ||
* convert the network to the superset. | ||
*/ | ||
virtual mockturtle::names_view<mockturtle::xmg_network> export_superset() = 0; | ||
/** | ||
* Reapply this optimization to a different network. | ||
*/ | ||
virtual optimizer<mockturtle::xmg_network> *reapply(int index, const mockturtle::window_view<mockturtle::names_view<mockturtle::xmg_network>> &part) = 0; | ||
}; | ||
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template <typename T> | ||
class optimization_strategy_comparator { | ||
public: | ||
// Comparator function | ||
virtual bool operator()(optimizer<T> &a, optimizer<T> &b) = 0; | ||
virtual const std::string name() = 0; | ||
}; | ||
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template <typename network> | ||
optimizer<network> *optimize(optimization_strategy_comparator<network> &comparator, | ||
optimization_strategy strategy, | ||
const mockturtle::window_view<mockturtle::names_view<network>> &part, | ||
int index, | ||
const std::string &abc_exec); | ||
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template <typename T> | ||
class ndp_strategy : public optimization_strategy_comparator<T> | ||
{ | ||
bool operator()(optimizer<T> &a, optimizer<T> &b) | ||
{ | ||
node_depth x = a.independent_metric(); | ||
node_depth y = b.independent_metric(); | ||
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return x.nodes * x.depth < y.nodes * y.depth; | ||
} | ||
const std::string name() | ||
{ | ||
return "node-depth product"; | ||
} | ||
}; | ||
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template <typename T> | ||
class d_strategy : public optimization_strategy_comparator<T> | ||
{ | ||
bool operator()(optimizer<T> &a, optimizer<T> &b) | ||
{ | ||
node_depth x = a.independent_metric(); | ||
node_depth y = b.independent_metric(); | ||
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return x.depth < y.depth; | ||
} | ||
const std::string name() | ||
{ | ||
return "depth"; | ||
} | ||
}; | ||
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template <typename T> | ||
class n_strategy : public optimization_strategy_comparator<T> | ||
{ | ||
bool operator()(optimizer<T> &a, optimizer<T> &b) | ||
{ | ||
node_depth x = a.independent_metric(); | ||
node_depth y = b.independent_metric(); | ||
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return x.nodes < y.nodes; | ||
} | ||
const std::string name() | ||
{ | ||
return "node"; | ||
} | ||
}; | ||
|
||
}; |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,84 @@ | ||
/* LSOracle: A learning based Oracle for Logic Synthesis | ||
* MIT License | ||
* Copyright 2019 Laboratory for Nano Integrated Systems (LNIS) | ||
* | ||
* Permission is hereby granted, free of charge, to any person | ||
* obtaining a copy of this software and associated documentation | ||
* files (the "Software"), to deal in the Software without | ||
* restriction, including without limitation the rights to use, | ||
* copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
* copies of the Software, and to permit persons to whom the | ||
* Software is furnished to do so, subject to the following | ||
* conditions: | ||
* | ||
* The above copyright notice and this permission notice shall be | ||
* included in all copies or substantial portions of the Software. | ||
* | ||
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | ||
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES | ||
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND | ||
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT | ||
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, | ||
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING | ||
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR | ||
* OTHER DEALINGS IN THE SOFTWARE. | ||
*/ | ||
#pragma once | ||
#include <string> | ||
#include <mockturtle/mockturtle.hpp> | ||
#include "algorithms/optimization/optimizers/techmapping.hpp" | ||
#include "algorithms/optimization/optimizers/aig.hpp" | ||
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namespace oracle { | ||
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template< typename network> | ||
class abc_optimizer: public aig_optimizer<network> | ||
{ | ||
using partition = mockturtle::window_view<mockturtle::names_view<network>>; | ||
public: | ||
abc_optimizer(int index, const partition &original, optimization_strategy target, const std::string &abc_exec): aig_optimizer<network>(index, original, target, abc_exec) {} | ||
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const std::string optimizer_name() | ||
{ | ||
return "abc resyn2"; | ||
} | ||
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optimizer<mockturtle::xmg_network> *reapply(int index, const xmg_partition &part) | ||
{ | ||
return new abc_optimizer<mockturtle::xmg_network>(index, part, this->strategy, this->abc_exec); | ||
} | ||
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void optimize() | ||
{ | ||
char *blif_name_char = strdup("/tmp/lsoracle_XXXXXX.blif"); | ||
if (mkstemps(blif_name_char, 5) == -1) { | ||
throw std::exception(); | ||
} | ||
std::string blif_name = std::string(blif_name_char); | ||
std::cout << "writing blif to " << blif_name << std::endl; | ||
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char *blif_output_name_char = strdup("/tmp/lsoracle_XXXXXX_optimized.blif"); | ||
if (mkstemps(blif_output_name_char, 15) == -1) { | ||
throw std::exception(); | ||
} | ||
std::string blif_output_name = std::string(blif_output_name_char); | ||
std::cout << "writing abc output to " << blif_output_name << std::endl; | ||
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mockturtle::write_blif_params ps; | ||
ps.skip_feedthrough = 1u; | ||
mockturtle::write_blif(this->converted, blif_name, ps); | ||
std::string script = "abc -c \"read_blif " + blif_name + "; resyn2; write_blif " + blif_output_name + " \""; | ||
int code = system((script).c_str()); | ||
assert(code == 0); | ||
std::cout << "optimized with abc" << std::endl; | ||
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mockturtle::names_view<mockturtle::klut_network> klut; | ||
lorina::return_code read_blif_return_code = lorina::read_blif(blif_output_name, mockturtle::blif_reader(klut)); | ||
assert(read_blif_return_code == lorina::return_code::success); | ||
mockturtle::xag_npn_resynthesis<mockturtle::aig_network> resyn; | ||
mockturtle::node_resynthesis(this->optimal, klut, resyn); | ||
this->optimal.set_network_name(this->converted.get_network_name()); | ||
} | ||
}; | ||
}; |
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