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cinn(py-dsl): add pybind interface to python (PaddlePaddle#57644)
此PR封装了Python DSL需要的C++和Python层的接口 单测和e2e测试见主PR： PaddlePaddle#56393
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| // Copyright (c) 2023 CINN Authors. All Rights Reserved. | ||
| // | ||
| // 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. | ||
| #include <pybind11/functional.h> | ||
| #include <pybind11/operators.h> | ||
| #include <pybind11/stl.h> | ||
| #include <string> | ||
|
|
||
| #include "paddle/cinn/ir/schedule/ir_schedule.h" | ||
|
|
||
| namespace py = pybind11; | ||
|
|
||
| namespace cinn::pybind { | ||
|
|
||
| void BindSchedule(py::module *m) { | ||
| py::class_<ir::IRSchedule> ir_schedule(*m, "IRSchedule"); | ||
| ir_schedule | ||
| .def(py::init<const ir::ModuleExpr &, | ||
| utils::LinearRandomEngine::StateType, | ||
| bool, | ||
| utils::ErrorMessageLevel>(), | ||
| py::arg("modexpr"), | ||
| py::arg("rand_seed") = -1, | ||
| py::arg("debug_flag") = false, | ||
| py::arg("err_msg_level") = utils::ErrorMessageLevel::kGeneral) | ||
| .def_static( | ||
| "make", | ||
| [](ir::LoweredFunc &ir_func) { | ||
| ir::ModuleExpr *module_expr = new ir::ModuleExpr({ir_func->body}); | ||
| auto scheduler = std::make_unique<ir::IRSchedule>(*module_expr); | ||
| return scheduler; | ||
| }) | ||
| .def("fuse", | ||
| py::overload_cast<const std::vector<Expr> &>(&ir::IRSchedule::Fuse)) | ||
| .def("split", | ||
| py::overload_cast<const Expr &, const std::vector<int> &>( | ||
| &ir::IRSchedule::Split), | ||
| py::arg("loop"), | ||
| py::arg("factors")) | ||
| .def("compute_at", | ||
| py::overload_cast<const Expr &, const Expr &, bool>( | ||
| &ir::IRSchedule::ComputeAt), | ||
| py::arg("block"), | ||
| py::arg("loop"), | ||
| py::arg("keep_unit_loops") = false) | ||
| .def("simple_compute_at", | ||
| py::overload_cast<const Expr &, const Expr &>( | ||
| &ir::IRSchedule::SimpleComputeAt), | ||
| py::arg("block"), | ||
| py::arg("loop")) | ||
| .def("reverse_compute_at", | ||
| py::overload_cast<const Expr &, const Expr &, bool>( | ||
| &ir::IRSchedule::ReverseComputeAt), | ||
| py::arg("block"), | ||
| py::arg("loop"), | ||
| py::arg("keep_unit_loops") = false) | ||
| .def("cache_read", | ||
| py::overload_cast<const Expr &, int, const std::string &>( | ||
| &ir::IRSchedule::CacheRead)) | ||
| .def("cache_write", | ||
| py::overload_cast<const Expr &, int, const std::string &>( | ||
| &ir::IRSchedule::CacheWrite)) | ||
| .def("sync_threads", | ||
| py::overload_cast<const Expr &, bool>(&ir::IRSchedule::SyncThreads), | ||
| py::arg("ir_node"), | ||
| py::arg("after_node") = true) | ||
| .def("set_buffer", | ||
| py::overload_cast<Expr &, const std::string &, bool>( | ||
| &ir::IRSchedule::SetBuffer), | ||
| py::arg("block"), | ||
| py::arg("memory_type"), | ||
| py::arg("fixed") = false) | ||
| .def("reorder", | ||
| py::overload_cast<const std::vector<Expr> &>( | ||
| &ir::IRSchedule::Reorder)) | ||
| .def("parallel", | ||
| py::overload_cast<const Expr &>(&ir::IRSchedule::Parallel)) | ||
| .def("vectorize", | ||
| py::overload_cast<const Expr &, int>(&ir::IRSchedule::Vectorize)) | ||
| .def("unroll", py::overload_cast<const Expr &>(&ir::IRSchedule::Unroll)) | ||
|
|
||
| .def("compute_inline", | ||
| py::overload_cast<const Expr &>(&ir::IRSchedule::ComputeInline)) | ||
| .def("reverse_compute_inline", | ||
| py::overload_cast<const Expr &>( | ||
| &ir::IRSchedule::ReverseComputeInline)) | ||
| .def("bind", &ir::IRSchedule::Bind) | ||
| .def("copy_transform_and_loop_info", | ||
| py::overload_cast<const Expr &, const Expr &>( | ||
| &ir::IRSchedule::CopyTransformAndLoopInfo)) | ||
| .def("rfactor", | ||
| py::overload_cast<const Expr &, int>(&ir::IRSchedule::Rfactor)) | ||
| .def("annotate", | ||
| py::overload_cast<const Expr &, | ||
| const std::string &, | ||
| const ir::attr_t &>(&ir::IRSchedule::Annotate)) | ||
| .def("unannotate", | ||
| py::overload_cast<Expr &, const std::string &>( | ||
| &ir::IRSchedule::Unannotate)) | ||
| .def("flatten_loops", | ||
| py::overload_cast<const std::vector<Expr> &, const bool>( | ||
| &ir::IRSchedule::FlattenLoops), | ||
| py::arg("loops"), | ||
| py::arg("force_flat") = false) | ||
| .def("sample_perfect_tile", | ||
| py::overload_cast<const Expr &, int, int, const std::vector<int> &>( | ||
| &ir::IRSchedule::SamplePerfectTile), | ||
| py::arg("loop"), | ||
| py::arg("n"), | ||
| py::arg("max_innermost_factor"), | ||
| py::arg("decision") = std::vector<int>()) | ||
| .def("sample_categorical", | ||
| py::overload_cast<const std::vector<int> &, | ||
| const std::vector<float> &, | ||
| const std::vector<int> &>( | ||
| &ir::IRSchedule::SampleCategorical), | ||
| py::arg("candidates"), | ||
| py::arg("probs"), | ||
| py::arg("decision") = std::vector<int>()) | ||
| .def("get_module", | ||
| py::overload_cast<>(&ir::IRSchedule::GetModule, py::const_)) | ||
| .def("get_root_block", &ir::IRSchedule::GetRootBlock) | ||
| .def("get_block", | ||
| py::overload_cast<const std::string &>(&ir::IRSchedule::GetBlock, | ||
| py::const_)) | ||
| .def("get_all_blocks", | ||
| py::overload_cast<>(&ir::IRSchedule::GetAllBlocks, py::const_)) | ||
| .def("get_loops", | ||
| py::overload_cast<const std::string &>(&ir::IRSchedule::GetLoops, | ||
| py::const_)) | ||
| .def("get_name2loops_dict", | ||
| [](const ir::IRSchedule &self, const std::string &block_name) { | ||
| std::vector<ir::Expr> loops = self.GetLoops(block_name); | ||
| std::map<std::string, ir::Expr> name2loops; | ||
| for (const ir::Expr &loop : loops) { | ||
| name2loops[loop.As<ir::For>()->loop_var->name] = loop; | ||
| } | ||
| return name2loops; | ||
| }); | ||
| } | ||
| } // namespace cinn::pybind |
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