giuseros commented on a change in pull request #7785: URL: https://github.com/apache/tvm/pull/7785#discussion_r608181342
########## File path: src/relay/backend/aot_codegen.cc ########## @@ -0,0 +1,675 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you 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. + */ + +/*! + * \file relay/backend/graph_codegen.cc + * \brief Graph runtime codegen + */ + +#include <dmlc/any.h> +#include <tvm/ir/module.h> +#include <tvm/relay/expr_functor.h> +#include <tvm/runtime/device_api.h> +#include <tvm/tir/builtin.h> +#include <tvm/tir/expr.h> +#include <tvm/tir/stmt.h> + +#include <algorithm> +#include <list> +#include <string> +#include <vector> + +#include "../../runtime/meta_data.h" +#include "compile_engine.h" +#include "utils.h" + +namespace tvm { +namespace relay { +namespace backend { + +using IntegerArray = Array<Integer>; +using ShapeVector = std::vector<std::vector<int64_t>>; +using GraphAttrs = std::unordered_map<std::string, dmlc::any>; +using TargetsMap = std::unordered_map<int, Target>; + +/*! \brief Lowered outputs */ +struct AOTLoweredOutput { + std::string graph_tir; + Map<String, IRModule> lowered_funcs; + Array<tvm::runtime::Module> external_mods; + std::unordered_map<std::string, std::pair<int, const tvm::runtime::NDArray>> params; + runtime::AOTMetadata aot_metadata; +}; + +class AotReturnSidVisitor : public ExprVisitor { + public: + explicit AotReturnSidVisitor(Map<Expr, Array<IntegerArray>> storage_device_map) + : storage_device_map_{storage_device_map}, return_sid_{-1} {} + + IntegerArray FindReturnSid(Function func) { + VisitExpr(func->body); + return return_sid_; + } + + protected: + void AssignReturnSid(Expr e) { + auto iter = storage_device_map_.find(e); + if (iter != storage_device_map_.end()) { + return_sid_ = (*iter).second[0]; + } + } + + void VisitExpr_(const ConstantNode* cn) override { + ExprVisitor::VisitExpr_(cn); + AssignReturnSid(GetRef<Expr>(cn)); + } + + void VisitExpr_(const VarNode* vn) override { + ExprVisitor::VisitExpr_(vn); + AssignReturnSid(GetRef<Expr>(vn)); + } + + void VisitExpr_(const CallNode* cn) override { + ExprVisitor::VisitExpr_(cn); + AssignReturnSid(GetRef<Expr>(cn)); + } + + void VisitExpr_(const LetNode* op) override { VisitExpr(op->body); } + + void VisitExpr_(const TupleNode* tn) override { + ExprVisitor::VisitExpr_(tn); + AssignReturnSid(GetRef<Expr>(tn)); + } + + private: + Map<Expr, Array<IntegerArray>> storage_device_map_; + IntegerArray return_sid_; +}; + +using TIRNetwork = tvm::Array<tir::Stmt>; + +/*! \brief Code generator for graph runtime */ +class AOTCodegen : public ExprVisitor { + protected: + /*! + * \brief Utility function to allocate a DLTensor or TVMValue + * \param type the type of allocation + * \param num the number of variable to allocate on the stack + * \return PrimExpr representing the allocated object + */ + PrimExpr StackAlloca(std::string type, size_t num) { + Array<PrimExpr> args = {tir::StringImm(type), ConstInt32(num)}; + return tir::Call(DataType::Handle(), tir::builtin::tvm_stack_alloca(), args); + } + + /*! + * \brief Utility function to allocate memory for storage identifiers + * \param memory_size_byte size in bytes of the allocation + * \return PrimExpr representing the allocated memory + */ + PrimExpr AllocateBackendMemory(int memory_size_byte) { + // TODO(giuseros): use tir::Allocate instead of TVMBackendAllocWorkspace + // to enable unified memory planning + static const Op& op = Op::Get("tir.TVMBackendAllocWorkspace"); + return tvm::tir::Call(DataType::Handle(), op, {1, 0, memory_size_byte, 2, 8}); + } + + /*! + * \brief Utility function to convert a concrete integer to a PrimExpr. + * \param num the number to convert + * \return PrimExpr representing num + */ + inline PrimExpr ConstInt32(size_t num) { + ICHECK_LE(num, std::numeric_limits<int>::max()); + return tir::make_const(DataType::Int(32), static_cast<int>(num)); + } + + /*! + * \brief Return a vector of variables that represents the sids for the given Relay Expr + */ + std::vector<tir::Var> pack_sid(Expr expr) { + Array<IntegerArray> sids = storage_device_map_[expr]; + std::vector<tir::Var> sid_vars; + + // Note that an expression can have multiple sids associated with it + // e.g., returning multiple values from a function + for (const auto& sid : sids[0]) { + // Determine if an sid is an output buffer + int sid_int = static_cast<int>((sid.as<IntImmNode>())->value); + auto output_iter = std::find(return_sid_.begin(), return_sid_.end(), sid_int); + if (output_iter != return_sid_.end()) { + int output_index = std::distance(return_sid_.begin(), output_iter); + sid_vars.push_back(main_signature_[input_vars_.size() + output_index]); + continue; + } + // Pack the sid inside the TVMValue + auto sid_array = te::Var(make_string("sid_", sid, "_value"), DataType::Handle()); + auto sid_value = sids_table_[sid]; + tvm::PrimExpr set_tensor = + tvm::tir::Call(DataType::Handle(), tvm::tir::builtin::tvm_struct_set(), + {sid_array, 0, tir::builtin::kArrData, sid_value}); + stmts_.push_back(tir::LetStmt(sid_array, StackAlloca("array", 1), tir::Evaluate(set_tensor))); + sid_vars.push_back(sid_array); + } + return sid_vars; + } + + /*! + * \brief Utility function to return a parameter associated with an expression + * \param expr Relay Expression assicated with the parameter + * \return Variable that represents the DLTensor associated with the parameters + */ + tir::Var pack_param(Expr expr) { + // TODO(giuseros): Using call_extern to call into lookup_linked_param. This is because the Review comment: I am not sure I am following here: as of now, I am using `lookup_linked_param` , only I am using `extern` because of the return limitation in C. In future the idea would be to get rid of this function call by adding a builtin like `builtin::lookup_linked_param` that can directly call the static parameters defined in the compilation unit. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
