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294 lines
10 KiB
294 lines
10 KiB
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <algorithm>
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#include <fstream>
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#include <iostream>
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#include <string>
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#include "paddle/fluid/framework/op_info.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/framework/variable.h"
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#include "paddle/fluid/pybind/pybind.h"
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#include "paddle/fluid/string/string_helper.h"
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std::map<std::string, std::set<std::string>> op_ins_map = {
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{"layer_norm", {"X", "Scale", "Bias"}},
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{"gru_unit", {"Input", "HiddenPrev", "Weight", "Bias"}},
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{"label_smooth", {"X", "PriorDist"}},
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{"assign", {"X"}},
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};
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std::map<std::string, std::set<std::string>> op_passing_out_map = {
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{"sgd", {"ParamOut"}},
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{"adam",
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{"ParamOut", "Moment1Out", "Moment2Out", "Beta1PowOut", "Beta2PowOut"}},
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{"momentum", {"ParamOut", "VelocityOut"}},
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{"batch_norm", {"MeanOut", "VarianceOut"}},
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{"accuracy", {"Correct", "Total"}},
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{"fill_constant", {"Out"}}};
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// clang-format off
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const char* OUT_INITIALIZER_TEMPLATE =
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R"({"%s", {std::shared_ptr<imperative::VarBase>(new imperative::VarBase(tracer->GenerateUniqueName()))}})";
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const char* OUT_DUPLICABLE_INITIALIZER_TEMPLATE = R"({"%s", ConstructDuplicableOutput(%s)})";
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const char* INPUT_INITIALIZER_TEMPLATE = R"({"%s", {%s}})";
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const char* INPUT_LIST_INITIALIZER_TEMPLATE = R"({"%s", %s})";
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const char* INPUT_INITIALIZER_TEMPLATE_WITH_NULL = R"(
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if (%s != nullptr) {
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ins["%s"] = {%s};
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}
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)";
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const char* INPUT_INITIALIZER_TEMPLATE_WITH_NULL_LIST = R"(
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if (%s != nullptr) {
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ins["%s"] = %s;
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}
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)";
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// if inputs is list, no need {}
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const char* ARG_OUT_NUM = R"(%sNum)";
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const char* ARG_OUT_NUM_TYPE = R"(size_t )";
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const char* VAR_TYPE = R"(std::shared_ptr<imperative::VarBase>)";
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const char* VAR_LIST_TYPE = R"(std::vector<std::shared_ptr<imperative::VarBase>>)";
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const char* ARG_TEMPLATE = R"(const %s& %s)";
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const char* RETURN_TUPLE_TYPE = R"(std::tuple<%s>)";
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const char* RETURN_TYPE = R"(%s)";
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const char* RETURN_TUPLE_TEMPLATE = R"(std::make_tuple(%s))";
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const char* RETURN_LIST_TEMPLATE = R"(outs["%s"])";
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const char* RETURN_TEMPLATE = R"(outs["%s"][0])";
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const char* FUNCTION_ARGS = R"(%s, const py::args& args)";
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const char* FUNCTION_ARGS_NO_INPUT = R"(const py::args& args)";
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const char* OP_FUNCTION_TEMPLATE =
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R"(
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%s %s(%s)
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{
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framework::AttributeMap attrs;
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ConstructAttrMapFromPyArgs(&attrs, args);
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{
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py::gil_scoped_release release;
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auto tracer = imperative::GetCurrentTracer();
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imperative::NameVarBaseMap outs = %s;
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imperative::NameVarBaseMap ins = %s;
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%s
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tracer->TraceOp("%s", ins, outs, attrs);
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return %s;
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}
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})";
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const char* PYBIND_ITEM_TEMPLATE = R"( %s.def("%s", &%s);)";
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// clang-format on
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static inline bool FindInputInSpecialization(const std::string& op_type,
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const std::string& in_name) {
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return op_ins_map[op_type].count(in_name);
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}
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static inline bool FindOutoutInSpecialization(const std::string& op_type,
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const std::string& out_name) {
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return op_passing_out_map[op_type].count(out_name);
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}
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static std::tuple<std::vector<std::string>, std::vector<std::string>>
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GenerateOpFunctions(const std::string& module_name) {
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auto& op_info_map = paddle::framework::OpInfoMap::Instance().map();
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std::vector<std::string> op_function_list, bind_function_list;
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auto& all_kernels = paddle::framework::OperatorWithKernel::AllOpKernels();
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for (auto& pair : op_info_map) {
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auto& op_info = pair.second;
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auto op_proto = op_info.proto_;
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if (op_proto == nullptr) {
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continue;
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}
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auto& op_type = op_proto->type();
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// Skip ooerator which is not inherit form OperatorWithKernel, like while,
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// since only OperatorWithKernel can run in dygraph mode.
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if (!all_kernels.count(op_type)) {
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continue;
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}
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std::string input_args = "";
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std::string ins_initializer = "{";
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std::string ins_initializer_with_null = "";
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std::string py_arg = "";
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for (auto& input : op_proto->inputs()) {
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auto& in_name = input.name();
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// skip those dispensable inputs, like ResidualData in conv2d
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if (input.dispensable() && !FindInputInSpecialization(op_type, in_name)) {
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continue;
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}
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const auto in_type = input.duplicable() ? VAR_LIST_TYPE : VAR_TYPE;
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auto input_arg = paddle::string::Sprintf(ARG_TEMPLATE, in_type, in_name);
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input_args += input_arg;
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input_args += ",";
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if (input.dispensable()) {
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const auto in_template = input.duplicable()
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? INPUT_INITIALIZER_TEMPLATE_WITH_NULL_LIST
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: INPUT_INITIALIZER_TEMPLATE_WITH_NULL;
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ins_initializer_with_null +=
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paddle::string::Sprintf(in_template, in_name, in_name, in_name);
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} else {
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const auto in_template = input.duplicable()
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? INPUT_LIST_INITIALIZER_TEMPLATE
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: INPUT_INITIALIZER_TEMPLATE;
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ins_initializer +=
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paddle::string::Sprintf(in_template, in_name, in_name);
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ins_initializer += ",";
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}
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}
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if (ins_initializer.back() == ',') {
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ins_initializer.pop_back();
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}
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ins_initializer += "}";
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if (input_args.back() == ',') {
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input_args.pop_back();
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}
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// Generate outs initializer
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std::string outs_initializer = "{";
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std::string return_type = "";
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std::string return_str = "";
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int outs_num = 0;
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for (auto& output : op_proto->outputs()) {
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if (output.dispensable()) {
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continue;
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}
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const auto out_type = output.duplicable() ? VAR_LIST_TYPE : VAR_TYPE;
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const auto return_template =
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output.duplicable() ? RETURN_LIST_TEMPLATE : RETURN_TEMPLATE;
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auto& out_name = output.name();
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std::string out_initializer_str;
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if (FindOutoutInSpecialization(op_type, out_name)) {
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if (input_args != "") {
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input_args += ",";
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}
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input_args += out_type;
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input_args += out_name;
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const auto out_template = output.duplicable()
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? INPUT_LIST_INITIALIZER_TEMPLATE
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: INPUT_INITIALIZER_TEMPLATE;
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out_initializer_str +=
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paddle::string::Sprintf(out_template, out_name, out_name);
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} else {
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// There are few Operators that have duplicable output, like `Out` in
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// split op. We need to specify the number of variables for the
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// duplicable output, as the argument OutNum;
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if (output.duplicable()) {
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if (input_args != "") {
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input_args += ",";
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}
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auto out_num_str = paddle::string::Sprintf(ARG_OUT_NUM, out_name);
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input_args += ARG_OUT_NUM_TYPE;
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input_args += out_num_str;
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out_initializer_str = paddle::string::Sprintf(
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OUT_DUPLICABLE_INITIALIZER_TEMPLATE, out_name, out_num_str);
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} else {
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out_initializer_str =
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paddle::string::Sprintf(OUT_INITIALIZER_TEMPLATE, out_name);
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}
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}
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return_type += out_type;
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return_type += ",";
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return_str += paddle::string::Sprintf(return_template, out_name);
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return_str += ",";
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outs_num += 1;
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outs_initializer += out_initializer_str;
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outs_initializer += ",";
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}
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if (outs_initializer.back() == ',') {
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outs_initializer.pop_back();
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return_type.pop_back();
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return_str.pop_back();
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}
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outs_initializer += "}";
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if (outs_num == 0) {
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return_type = "void";
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}
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if (outs_num > 1) {
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return_str = paddle::string::Sprintf(RETURN_TUPLE_TEMPLATE, return_str);
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return_type = paddle::string::Sprintf(RETURN_TUPLE_TYPE, return_type);
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}
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std::string function_args = "";
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if (input_args == "") {
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function_args =
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paddle::string::Sprintf(FUNCTION_ARGS_NO_INPUT, input_args);
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} else {
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function_args = paddle::string::Sprintf(FUNCTION_ARGS, input_args);
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}
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std::string func_name = "imperative_" + op_type;
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// generate op funtcion body
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auto op_function_str = paddle::string::Sprintf(
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OP_FUNCTION_TEMPLATE, return_type, func_name, function_args,
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outs_initializer, ins_initializer, ins_initializer_with_null, op_type,
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return_str);
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// generate pybind item
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auto bind_function_str = paddle::string::Sprintf(
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PYBIND_ITEM_TEMPLATE, module_name, op_type, func_name);
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op_function_list.emplace_back(std::move(op_function_str));
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bind_function_list.emplace_back(std::move(bind_function_str));
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}
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return std::make_tuple(op_function_list, bind_function_list);
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}
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int main(int argc, char* argv[]) {
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if (argc != 2) {
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std::cerr << "argc must be 2" << std::endl;
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return -1;
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}
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std::vector<std::string> headers{"\"paddle/fluid/imperative/tracer.h\""};
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std::ofstream out(argv[1], std::ios::out);
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out << "#pragma once\n\n";
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for (auto& header : headers) {
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out << "#include " + header + "\n";
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}
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auto op_funcs = GenerateOpFunctions("m");
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out << "namespace py = pybind11;"
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<< "\n";
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out << "namespace paddle {\n"
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<< "namespace pybind {\n";
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out << paddle::string::join_strings(std::get<0>(op_funcs), '\n');
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out << "\n\n";
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out << "inline void BindOpFunctions(pybind11::module *module) {\n"
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<< " auto m = module->def_submodule(\"ops\");\n\n";
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out << paddle::string::join_strings(std::get<1>(op_funcs), '\n');
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out << "\n";
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out << "}\n\n"
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<< "} // namespace pybind\n"
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<< "} // namespace paddle\n";
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out.close();
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return 0;
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}
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