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mindspore2022/mindspore/ccsrc/pipeline/jit/parse/function_block.cc

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/**
* This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
*
* Copyright 2019-2021 Huawei Technologies Co., Ltd
*
* 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 "pipeline/jit/parse/function_block.h"
#include <string>
#include <memory>
#include "pipeline/jit/parse/resolve.h"
#include "pipeline/jit/parse/parse.h"
#include "frontend/operator/ops.h"
#include "utils/info.h"
#include "debug/trace.h"
#include "pybind11/pybind11.h"
namespace mindspore {
namespace py = pybind11;
namespace parse {
FunctionBlock::FunctionBlock(const Parser &parser) : parser_(parser) {
func_graph_ = std::make_shared<FuncGraph>();
matured_ = false;
}
void FunctionBlock::AddPrevBlock(const FunctionBlockPtr &block) { prev_blocks_.push_back(block.get()); }
static bool CanBeIsolatedNode(const std::string &var_name, const AnfNodePtr &node) {
auto cnode = dyn_cast<CNode>(node);
if (cnode == nullptr || cnode->inputs().empty()) {
// Not a valid cnode, can not be isolate node.
return false;
}
auto prim = GetValueNode<PrimitivePtr>(cnode->inputs().at(0));
if (prim == nullptr) {
// Not a primitive cnode, it may have side effects or not,
// We add it as an isolate node if its name is not '_' or empty.
// this means that code like:
// _ = func_call()
// will be ignored even if func_call() has side effects.
return !var_name.empty() && var_name != "_";
}
// For primitive cnode, only those with side effects can be isolate nodes.
auto effect_info = GetPrimEffectInfo(prim);
bool has_effects = (effect_info.memory || effect_info.io);
return has_effects;
}
// Write variable records the variable name to corresponding node
void FunctionBlock::WriteVariable(const std::string &var_name, const AnfNodePtr &node) {
MS_LOG(DEBUG) << func_graph_->ToString() << " write var " << var_name << " with node " << node->DebugString();
auto [iter, is_new_name] = vars_.emplace(var_name, std::make_pair(node, false));
if (!is_new_name) {
// If a cnode variable with same name already existed but not used,
// add it as an isolate node. for example:
// a = print(x)
// a = print(y)
// When we write variable 'a = print(y)',
// the cnode 'print(x)' should added as an isolate node.
auto is_used = iter->second.second;
auto hidden_node = iter->second.first;
auto is_isolated = CanBeIsolatedNode(var_name, hidden_node);
MS_LOG(INFO) << "Isolated node found(Hidden), hidden_node: " << hidden_node->DebugString(2) << " is hidden by "
<< node->DebugString(2) << " with the same name, var_name: " << var_name
<< ", is_isolated: " << is_isolated << ", !is_used: " << !is_used;
if (!is_used && is_isolated) {
AddIsolatedNode(hidden_node);
}
iter->second = std::make_pair(node, false);
}
}
// Read variable from predecessors
AnfNodePtr FunctionBlock::ReadVariable(const std::string &var) {
// Get var node if it is found
auto found = vars_.find(var);
if (found != vars_.end()) {
auto &node = found->second.first;
MS_EXCEPTION_IF_NULL(node);
// Mark the variable as used.
found->second.second = true;
auto iter = resolve_to_removable_phis_.find(node);
if (iter != resolve_to_removable_phis_.end()) {
return iter->second;
}
return node;
}
// Get var from predecessor block ,if can't get the make a resolve node to it
if (matured_) {
// If only one predecessor block, read the definition of var from it.
if (prev_blocks_.size() == 1) {
auto block = prev_blocks_[0];
MS_EXCEPTION_IF_NULL(block);
return block->ReadVariable(var);
} else if (prev_blocks_.empty()) {
// Get namespace and make Resolve
auto it = var_to_resolve_.find(var);
if (it != var_to_resolve_.end()) {
return it->second;
}
auto tmp_node = MakeResolveSymbol(var);
var_to_resolve_[var] = tmp_node;
return tmp_node;
}
}
// If have more than one predecessor blocks then build a phi node.
auto debug_info = std::make_shared<NodeDebugInfo>();
debug_info->set_name(var);
TraceGuard guard(std::make_shared<TracePhi>(debug_info));
ParameterPtr phi_param = std::make_shared<Parameter>(func_graph());
MS_LOG(DEBUG) << func_graph_->ToString() << " generate phi node " << phi_param->ToString() << " for " << var;
func_graph()->add_parameter(phi_param);
phi_nodes_[phi_param] = var;
WriteVariable(var, phi_param);
if (matured_) {
SetPhiArgument(phi_param);
}
return phi_param;
}
// Resolve Ast operator node
AnfNodePtr FunctionBlock::MakeResolveAstOp(const py::object &op) {
auto ast = parser_.ast();
MS_EXCEPTION_IF_NULL(ast);
TraceGuard trace_guard(parser_.GetLocation(op));
py::tuple namespace_var = ast->CallParserObjMethod(PYTHON_PARSE_GET_AST_NAMESPACE_SYMBOL, op);
if (namespace_var.size() != 2) {
MS_LOG(EXCEPTION) << "Resolve ast op failed, get namespace tuple size=" << namespace_var.size();
}
NameSpacePtr name_space = std::make_shared<NameSpace>(RESOLVE_NAMESPACE_NAME_AST, namespace_var[0]);
SymbolPtr symbol = std::make_shared<Symbol>(namespace_var[1].cast<std::string>());
return MakeResolve(name_space, symbol);
}
// Resolve class member, two possible: method, member variable
AnfNodePtr FunctionBlock::MakeResolveClassMember(const std::string &attr) {
py::object namespace_var =
parser_.ast()->CallParseModFunction(PYTHON_MOD_GET_MEMBER_NAMESPACE_SYMBOL, parser_.ast()->obj());
NameSpacePtr name_space = std::make_shared<NameSpace>(RESOLVE_NAMESPACE_NAME_CLASS_MEMBER, namespace_var);
SymbolPtr symbol = std::make_shared<Symbol>(attr);
return MakeResolve(name_space, symbol);
}
// Make a resolve node for symbol string
AnfNodePtr FunctionBlock::MakeResolveSymbol(const std::string &value) {
if (value.compare(0, strlen("self"), "self") == 0) {
auto start = value.find_first_of('.') + 1;
if (start >= value.size()) {
MS_LOG(ERROR) << "Find invalid resolve symbol str: " << value;
return nullptr;
}
auto bits_str = value.substr(start);
return MakeResolveClassMember(bits_str);
}
py::tuple namespace_var = parser_.ast()->CallParserObjMethod(PYTHON_PARSE_GET_NAMESPACE_SYMBOL, value);
NameSpacePtr name_space = std::make_shared<NameSpace>(RESOLVE_NAMESPACE_NAME_SYMBOL_STR, namespace_var[0]);
SymbolPtr symbol = std::make_shared<Symbol>(namespace_var[1].cast<std::string>());
return MakeResolve(name_space, symbol);
}
AnfNodePtr FunctionBlock::MakeResolveOperation(const std::string &value) {
py::tuple namespace_var = parser_.ast()->CallParserObjMethod(PYTHON_PARSE_GET_OPERATION_NAMESPACE_SYMBOL, value);
NameSpacePtr name_space = std::make_shared<NameSpace>(RESOLVE_NAMESPACE_NAME_COMMON_OPS, namespace_var[0]);
SymbolPtr symbol = std::make_shared<Symbol>(namespace_var[1].cast<std::string>());
return MakeResolve(name_space, symbol);
}
AnfNodePtr FunctionBlock::MakeResolve(const NameSpacePtr &name_space, const SymbolPtr &resolve_symbol) {
MS_LOG(DEBUG) << "MakeResolve for " << ((std::string)py::str(name_space->obj())) << " , "
<< ((std::string)resolve_symbol->symbol());
ValueNodePtr module_node = NewValueNode(name_space);
ValueNodePtr symbol_node = NewValueNode(resolve_symbol);
auto node = func_graph()->NewCNodeInOrder({NewValueNode(prim::kPrimResolve), module_node, symbol_node});
return node;
}
// Add input for the block's phi parameter
void FunctionBlock::SetPhiArgument(const ParameterPtr &phi) {
std::string var = phi_nodes_[phi];
MS_LOG(DEBUG) << "graph " << func_graph_->ToString() << " set phi " << phi->ToString() << " for var " << var;
auto removable = CollectRemovablePhi(phi);
// If the phi node is not necessary, not need to add to jumps_ of the prev blocks.
if (removable) {
MS_LOG(DEBUG) << "remove the phi when call graph " << func_graph_->ToString() << " var " << var;
return;
}
for (auto &pred : prev_blocks_) {
MS_EXCEPTION_IF_NULL(pred);
MS_LOG(DEBUG) << "graph " << func_graph_->ToString() << " pred_blocks_ " << pred->func_graph_->ToString();
AnfNodePtr arg_node = pred->ReadVariable(var);
CNodePtr jump = pred->jumps_[this];
jump->add_input(arg_node);
}
}
AnfNodePtr FunctionBlock::SearchReplaceNode(const std::string &var, const ParameterPtr &phi) {
AnfNodePtr arg_node = nullptr;
for (auto &prev : prev_blocks_) {
MS_EXCEPTION_IF_NULL(prev);
AnfNodePtr temp_node = prev->ReadVariable(var);
MS_LOG(DEBUG) << "graph " << prev->func_graph_->ToString() << " phi " << phi->ToString() << " for var " << var
<< " is " << temp_node->DebugString();
if (temp_node != phi) {
if (arg_node == nullptr) {
arg_node = temp_node;
MS_LOG(DEBUG) << "graph " << prev->func_graph_->ToString() << " phi " << phi->ToString()
<< " may be replaced by node " << arg_node->DebugString();
} else if (temp_node == arg_node) {
MS_LOG(DEBUG) << "graph " << prev->func_graph_->ToString() << " phi " << phi->ToString() << " is same as node "
<< arg_node->DebugString();
} else {
MS_LOG(DEBUG) << "phi " << phi->ToString()
<< " cannot be removed as it assigns to different node. node1: " << arg_node->DebugString()
<< ", node2: " << temp_node->DebugString();
return nullptr;
}
}
}
return arg_node;
}
// Check if there is removable unnecessary phi node in this graph.
// As per the FIRM TR 3.2, a phi node can be remove if:
// <Quote>
// If all arguments of a φ-function are the same value s or the φfunction itself,
// then we remove the φ-function and let all users directly uses. We call such a
// φ-function obviously unnecessary.
// When we removed a φ-function p, then we recursively try to apply this simplification
// rule with all (former) users of p, because they may have become obviously unnecessary
// due to the removal of p
// <Quote>
// phi node in graph will be removed after the whole function is parsed in a DFS visit
// of that graph.The reason is :
// 1. when this function is called, not all usage of this phi node had bound to the
// graph of this function block, some may stay in vars_ in other blocks.
// 2. it's costly to iterate the graph to replace the phi for each phi.
// Args :
// phi : This parameter node is functioning as a phi node.
bool FunctionBlock::CollectRemovablePhi(const ParameterPtr &phi) {
MS_EXCEPTION_IF_NULL(phi);
std::string var = phi_nodes_[phi];
MS_LOG(DEBUG) << "check phi " << phi->DebugString() << " for " << var;
if (prev_blocks_.size() == 0) {
MS_LOG(DEBUG) << "no phi " << phi->DebugString() << " for var " << var;
return false;
}
AnfNodePtr arg_node = SearchReplaceNode(var, phi);
if (arg_node != nullptr) {
MS_LOG(DEBUG) << "graph " << func_graph_->ToString() << " phi " << phi->ToString() << " can be replaced with "
<< arg_node->DebugString();
// Replace var with new one. This equal to statement in TR "v0 is immediately replaced by v1."
WriteVariable(var, arg_node);
removable_phis_[phi] = arg_node;
resolve_to_removable_phis_[arg_node] = phi;
// The following equal to statement "The φ-function defining v1, which now reads φ(v2, v1), is optimized
// recursively". check if phi1 is assigned with this phi before, then phi1 can be replaced with arg_node.
for (auto &prev : prev_blocks_) {
MS_EXCEPTION_IF_NULL(prev);
if (!prev->matured_) {
continue;
}
for (auto &phi_iter : prev->removable_phis_) {
MS_EXCEPTION_IF_NULL(phi_iter.second);
if (phi_iter.second->isa<Parameter>()) {
const auto &param = phi_iter.second->cast<ParameterPtr>();
if (param == phi) {
MS_LOG(DEBUG) << "graph " << prev->func_graph_->ToString() << " var " << phi_iter.first->DebugString()
<< " can be replaced from " << param->DebugString() << " with " << arg_node->DebugString()
<< " in graph " << arg_node->func_graph()->ToString();
prev->removable_phis_[phi_iter.first] = arg_node;
}
}
}
}
return true;
}
return false;
}
// A block should be marked matured if its predecessor blocks have been processed
void FunctionBlock::Mature() {
const auto &graphParamVec = func_graph_->parameters();
for (auto &paramItr : graphParamVec) {
MS_EXCEPTION_IF_NULL(paramItr);
ParameterPtr param = paramItr->cast<ParameterPtr>();
if (phi_nodes_.find(param) != phi_nodes_.cend()) {
SetPhiArgument(param);
}
}
matured_ = true;
}
// Force the conditIon node to bool using bool operation
CNodePtr FunctionBlock::ForceToBoolNode(const AnfNodePtr &cond) {
TraceGuard trace_guard(std::make_shared<TraceForceBool>(cond->debug_info()));
CNodePtr op_apply_node = func_graph()->NewCNodeInOrder({MakeResolveOperation(NAMED_PRIMITIVE_BOOL), cond});
return op_apply_node;
}
CNodePtr FunctionBlock::ForceToWhileCond(const AnfNodePtr &cond) {
TraceGuard trace_guard(std::make_shared<TraceForceWhileCond>(cond->debug_info()));
CNodePtr op_apply_node = func_graph()->NewCNodeInOrder({MakeResolveOperation("while_cond"), cond});
return op_apply_node;
}
// Perform a jump from this block to target block
void FunctionBlock::Jump(const FunctionBlockPtr &target_block, AnfNodePtr node) {
if (func_graph()->get_return() != nullptr) {
MS_LOG(EXCEPTION) << "Failure: have return node! NodeInfo: "
<< trace::GetDebugInfo(func_graph()->get_return()->debug_info());
}
std::vector<AnfNodePtr> input_nodes;
input_nodes.emplace_back(NewValueNode(target_block->func_graph()));
if (node != nullptr) {
input_nodes.emplace_back(node);
}
CNodePtr jump = func_graph()->NewCNodeInOrder(input_nodes);
jumps_[target_block.get()] = jump;
target_block->AddPrevBlock(shared_from_this());
func_graph()->set_output(jump);
// Attach all isolated nodes.
AttachIsolatedNodesBeforeReturn();
}
// Perform a conditional jump using switch operation.
// The first CNode select graph with condition, and than execute this graph
void FunctionBlock::ConditionalJump(AnfNodePtr condNode, const FunctionBlockPtr &true_block,
const FunctionBlockPtr &false_block, bool unroll_loop) {
if (func_graph()->get_return() != nullptr) {
MS_LOG(EXCEPTION) << "Failure: have return node! NodeInfo: "
<< trace::GetDebugInfo(func_graph()->get_return()->debug_info());
}
CNodePtr switch_app =
func_graph()->NewCNodeInOrder({NewValueNode(prim::kPrimSwitch), condNode, NewValueNode(true_block->func_graph()),
NewValueNode(false_block->func_graph())});
CNodePtr switch_app_new = func_graph()->NewCNodeInOrder({switch_app});
func_graph()->set_output(switch_app_new);
// Attach all isolated nodes.
AttachIsolatedNodesBeforeReturn();
}
// Create cnode for the assign statement like 'self.target = source'.
// convert it to 'P.Assign(self.target, source)' and then add the cnode as isolate node.
void FunctionBlock::SetStateAssign(const AnfNodePtr &target, const AnfNodePtr &source) {
const std::string primitive_name("assign");
const std::string module_name("mindspore.ops.functional");
ValueNodePtr assign_op = NewValueNode(prim::GetPythonOps(primitive_name, module_name, true));
auto assign_node = func_graph_->NewCNodeInOrder({assign_op, target, source});
MS_LOG(DEBUG) << "Isolated node found(Assign), assign_node: " << assign_node->DebugString(2);
AddIsolatedNode(assign_node);
}
void FunctionBlock::FindIsolatedNodes() {
//
// Search isolate nodes from variables, for example,
// variable 'a' is an isolate node in below code:
//
// def construct(self, x, y):
// a = print(x) # isolate node
// return x + y
//
std::set<AnfNodePtr> used;
// Find used variables.
for (const auto &var : vars_) {
auto &node = var.second.first;
if (node == nullptr) {
continue;
}
bool is_used = var.second.second;
if (is_used) {
used.emplace(node);
}
}
// Add isolated nodes which is unused var but not found in used set.
for (const auto &var : vars_) {
auto &node = var.second.first;
bool is_used = var.second.second;
if (node == nullptr || is_used) {
continue;
}
auto &var_name = var.first;
if (used.find(node) == used.end() && CanBeIsolatedNode(var_name, node)) {
// We don't call AddIsolatedNode(node) anymore.
// If need, to call FindIsolatedNodes() in appropriate place.
MS_LOG(ERROR) << "Isolated node found(NoUse), node: " << node->DebugString(2) << ", var_name: " << var_name;
}
}
}
void FunctionBlock::AddIsolatedNode(const AnfNodePtr &target) { isolated_nodes_.add(target); }
void FunctionBlock::AttachIsolatedNodesBeforeReturn() {
if (isolated_nodes_.size() == 0) {
return;
}
std::vector<AnfNodePtr> states;
states.emplace_back(NewValueNode(prim::kPrimMakeTuple));
for (auto &node : isolated_nodes_) {
MS_LOG(DEBUG) << "Adding dependency, node: " << node->DebugString(2) << " in " << func_graph()->ToString();
states.emplace_back(node);
}
AnfNodePtr state = nullptr;
// If there are only make_tuple and another node in states(the states size is 2),
// do not need to make_tuple, just use the node.
if (states.size() == 2) {
state = states[1];
} else {
state = func_graph()->NewCNode(states);
}
AnfNodePtr old_output = nullptr;
auto return_node = func_graph()->get_return();
if (return_node) {
if (return_node->inputs().size() < 1) {
MS_LOG(EXCEPTION) << "Length of inputs of output node is less than 2";
}
old_output = return_node->input(1);
} else {
old_output = NewValueNode(kNone);
}
AnfNodePtr stop_grad_node = func_graph()->NewCNode({NewValueNode(prim::kPrimStopGradient), state});
AnfNodePtr depend_node = func_graph()->NewCNode({NewValueNode(prim::kPrimDepend), old_output, stop_grad_node});
MS_LOG(INFO) << "Attached for side-effect nodes, depend_node: " << depend_node->DebugString()
<< ", state: " << state->DebugString(2);
func_graph()->set_output(depend_node, true);
}
} // namespace parse
} // namespace mindspore
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