!3370 same graph used in different context should be treat differently.

Merge pull request !3370 from xychow/fix-context-dup
This commit is contained in:
mindspore-ci-bot 2020-08-04 10:56:04 +08:00 committed by Gitee
commit 2da29bce66
6 changed files with 119 additions and 19 deletions

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@ -36,6 +36,11 @@ BasePtr AbsOf(const AnfNodePtr &node) {
if (node_abs == nullptr) {
return kAnyValue;
}
// Ignore the tracking_id and prim pointer hash;
if (node_abs->isa<abstract::PrimitiveAbstractClosure>()) {
auto prim_abs = node_abs->cast<abstract::PrimitiveAbstractClosurePtr>();
return prim_abs->prim();
}
return node_abs;
}

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@ -470,7 +470,8 @@ EvaluatorPtr AnalysisEngine::GetEvaluatorFor(const AbstractFunctionPtr &func) {
MS_LOG(DEBUG) << "The tracking_id: " << func->tracking_id()->DebugString();
}
MS_EXCEPTION_IF_NULL(func);
if (func->tracking_id() == nullptr) {
if (func->tracking_id() == nullptr || func->isa<abstract::MetaFuncGraphAbstractClosure>() ||
func->isa<abstract::FuncGraphAbstractClosure>()) {
EvaluatorPtr evaluator = _GetEvaluatorFor(func);
return evaluator;
}
@ -639,12 +640,12 @@ EvalResultPtr AnfNodeConfig::GetEvaluatedValue() {
}
abstract::AbstractBasePtr MakeAbstractClosure(const FuncGraphPtr &func_graph,
const abstract::AnalysisContextPtr &context) {
const abstract::AnalysisContextPtr &context, const AnfNodePtr &anf_node) {
AnalysisContextPtr temp_context = context;
if (temp_context == nullptr) {
temp_context = abstract::AnalysisContext::DummyContext();
}
return std::make_shared<abstract::FuncGraphAbstractClosure>(func_graph, temp_context);
return std::make_shared<abstract::FuncGraphAbstractClosure>(func_graph, temp_context, anf_node);
}
abstract::AbstractBasePtr MakeAbstractClosure(const MetaFuncGraphPtr &meta_func_graph, const AnfNodePtr &anf_node) {
@ -652,7 +653,8 @@ abstract::AbstractBasePtr MakeAbstractClosure(const MetaFuncGraphPtr &meta_func_
if (anf_node == nullptr) {
meta_func_graph_fn = std::make_shared<abstract::MetaFuncGraphAbstractClosure>(meta_func_graph);
} else {
meta_func_graph_fn = std::make_shared<abstract::MetaFuncGraphAbstractClosure>(meta_func_graph, anf_node->scope());
meta_func_graph_fn =
std::make_shared<abstract::MetaFuncGraphAbstractClosure>(meta_func_graph, anf_node, anf_node->scope());
}
return meta_func_graph_fn;
}
@ -663,14 +665,14 @@ abstract::AbstractBasePtr MakeAbstractClosure(const PrimitivePtr &primitive, con
}
AbstractBasePtr ToAbstract(const ValuePtr &value, const AnalysisContextPtr &context, const AnfNodeConfigPtr &conf) {
if (value->isa<FuncGraph>()) {
auto func_graph = value->cast<FuncGraphPtr>();
return MakeAbstractClosure(func_graph, context);
}
AnfNodePtr anf_node = nullptr;
if (conf != nullptr) {
anf_node = conf->node();
}
if (value->isa<FuncGraph>()) {
auto func_graph = value->cast<FuncGraphPtr>();
return MakeAbstractClosure(func_graph, context, anf_node);
}
if (value->isa<MetaFuncGraph>()) {
auto meta_func_graph = value->cast<MetaFuncGraphPtr>();
return MakeAbstractClosure(meta_func_graph, anf_node);

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@ -232,7 +232,7 @@ class AnalysisEngine : public std::enable_shared_from_this<AnalysisEngine> {
const PrimEvaluatorMap &prim_constructors_;
FuncGraphManagerPtr func_graph_manager_;
std::unordered_map<AbstractFunctionPtr, EvaluatorPtr> constructors_;
std::unordered_map<AbstractFunctionPtr, EvaluatorPtr, AbstractFunctionHasher, AbstractFunctionEqual> constructors_;
AnfNodeConfigMap anfnode_config_map_;
// Use a list to trace multiple evaluators.
std::list<std::pair<EvaluatorPtr, AbstractBasePtrList>> eval_trace_;

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@ -143,14 +143,23 @@ bool PrimitiveAbstractClosure::operator==(const AbstractFunction &other) const {
return false;
}
std::size_t PrimitiveAbstractClosure::hash() const { return hash_combine(tid(), prim_->hash()); }
std::size_t PrimitiveAbstractClosure::hash() const {
auto hash_value = hash_combine(tid(), prim_->hash());
// Keep in sync with operator==() which compares the prim_ pointer;
hash_value = hash_combine(hash_value, std::hash<Primitive *>{}(prim_.get()));
if (tracking_id() != nullptr) {
hash_value = hash_combine(hash_value, tracking_id()->hash());
}
return hash_value;
}
bool FuncGraphAbstractClosure::operator==(const AbstractFunction &other) const {
if (!other.isa<FuncGraphAbstractClosure>()) {
return false;
}
auto other_fg = static_cast<const FuncGraphAbstractClosure *>(&other);
if (func_graph_ == other_fg->func_graph_ && context_ == other_fg->context_) {
if (func_graph_ == other_fg->func_graph_ && context_ == other_fg->context_ &&
tracking_id() == other_fg->tracking_id()) {
return true;
}
return false;
@ -159,9 +168,11 @@ bool FuncGraphAbstractClosure::operator==(const AbstractFunction &other) const {
std::size_t FuncGraphAbstractClosure::hash() const {
auto hash_value = hash_combine(tid(), func_graph_->hash());
hash_value = hash_combine(hash_value, context_->hash());
if (tracking_id() != nullptr) {
hash_value = hash_combine(hash_value, tracking_id()->hash());
}
return hash_value;
}
std::string FuncGraphAbstractClosure::ToString() const {
std::stringstream ss;
ss << "FuncGraphAbstractClosure: "
@ -174,7 +185,7 @@ bool MetaFuncGraphAbstractClosure::operator==(const AbstractFunction &other) con
return false;
}
auto other_meta_fg = static_cast<const MetaFuncGraphAbstractClosure *>(&other);
if (meta_func_graph_ == other_meta_fg->meta_func_graph_) {
if (meta_func_graph_ == other_meta_fg->meta_func_graph_ && tracking_id() == other_meta_fg->tracking_id()) {
return true;
}
return false;
@ -182,6 +193,9 @@ bool MetaFuncGraphAbstractClosure::operator==(const AbstractFunction &other) con
std::size_t MetaFuncGraphAbstractClosure::hash() const {
auto hash_value = hash_combine(tid(), meta_func_graph_->hash());
if (tracking_id() != nullptr) {
hash_value = hash_combine(hash_value, tracking_id()->hash());
}
return hash_value;
}

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@ -92,13 +92,15 @@ class PrimitiveAbstractClosure : public AbstractFuncAtom {
// one reference cycle example is Graph::set_output() input0 local variable.
AnfNodeWeakPtr tracking_id_;
};
using PrimitiveAbstractClosurePtr = std::shared_ptr<PrimitiveAbstractClosure>;
class FuncGraphAbstractClosure : public AbstractFuncAtom {
public:
// Represents a Graph in a certain Context.
// context: The context, or Context.empty()
FuncGraphAbstractClosure(const FuncGraphPtr &func_graph, const AnalysisContextPtr &context)
: func_graph_(func_graph), context_(context) {
FuncGraphAbstractClosure(const FuncGraphPtr &func_graph, const AnalysisContextPtr &context,
const AnfNodePtr &tracking_id = nullptr)
: func_graph_(func_graph), context_(context), tracking_id_(AnfNodeWeakPtr(tracking_id)) {
MS_EXCEPTION_IF_NULL(func_graph);
MS_EXCEPTION_IF_NULL(context);
}
@ -109,8 +111,10 @@ class FuncGraphAbstractClosure : public AbstractFuncAtom {
AnalysisContextPtr context() const override { return context_; }
AnfNodePtr tracking_id() const override { return tracking_id_.lock(); }
AbstractFunctionPtr Copy() const override {
return std::make_shared<FuncGraphAbstractClosure>(func_graph_, context_);
return std::make_shared<FuncGraphAbstractClosure>(func_graph_, context_, tracking_id());
}
bool operator==(const AbstractFunction &other) const override;
@ -121,13 +125,22 @@ class FuncGraphAbstractClosure : public AbstractFuncAtom {
private:
FuncGraphPtr func_graph_;
AnalysisContextPtr context_;
// To discriminate different usage of same graph by using this tracking_id,
// so different tracking_id will produce different FuncGraphAbstractClosure,
// different FuncGraphEvaluator.
// Espcecially usefull for recursive func graph call, so it will not mess up
// the graph_context_ in FuncGraphEvaluator.
// Notes: Be careful to use nullptr for this variable.
// store it as weak_ptr to break reference cycle.
AnfNodeWeakPtr tracking_id_;
};
using FuncGraphAbstractClosurePtr = std::shared_ptr<FuncGraphAbstractClosure>;
class MetaFuncGraphAbstractClosure : public AbstractFuncAtom {
public:
explicit MetaFuncGraphAbstractClosure(const MetaFuncGraphPtr &meta_func_graph, const ScopePtr &scope = kDefaultScope)
: meta_func_graph_(meta_func_graph), scope_(scope) {}
explicit MetaFuncGraphAbstractClosure(const MetaFuncGraphPtr &meta_func_graph,
const AnfNodePtr &tracking_id = nullptr, const ScopePtr &scope = kDefaultScope)
: meta_func_graph_(meta_func_graph), tracking_id_(AnfNodeWeakPtr(tracking_id)), scope_(scope) {}
~MetaFuncGraphAbstractClosure() override = default;
MS_DECLARE_PARENT(MetaFuncGraphAbstractClosure, AbstractFuncAtom)
@ -137,7 +150,11 @@ class MetaFuncGraphAbstractClosure : public AbstractFuncAtom {
ScopePtr GetScope() { return scope_; }
AbstractFunctionPtr Copy() const override { return std::make_shared<MetaFuncGraphAbstractClosure>(meta_func_graph_); }
AnfNodePtr tracking_id() const override { return tracking_id_.lock(); }
AbstractFunctionPtr Copy() const override {
return std::make_shared<MetaFuncGraphAbstractClosure>(meta_func_graph_, tracking_id());
}
bool operator==(const AbstractFunction &other) const override;
std::size_t hash() const override;
@ -145,6 +162,9 @@ class MetaFuncGraphAbstractClosure : public AbstractFuncAtom {
private:
MetaFuncGraphPtr meta_func_graph_;
// refer the comment in FuncGraphAbstractClosure;
// store it as weak_ptr to break reference cycle.
AnfNodeWeakPtr tracking_id_;
ScopePtr scope_;
};
using MetaFuncGraphAbstractClosurePtr = std::shared_ptr<MetaFuncGraphAbstractClosure>;

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@ -67,3 +67,62 @@ def test_assign_in_while():
z = Tensor(np.random.randn(*input_shape).astype(np.float32))
net = Net(input_shape)
net(x, y, z)
def test_dup_context():
''' different func_with_fv in net1 and net2 should produce 2 different FuncGraphAbstractClosure and
Evaluator.
'''
context.set_context(mode=context.GRAPH_MODE)
class Net(nn.Cell):
def __init__(self):
super().__init__()
def construct(self, x):
def identity(f):
return f
def func_with_fv():
return x
def net1():
local_func = identity(func_with_fv)
out = local_func() + 20.0
return out
def net2():
local_func = identity(func_with_fv)
out = local_func() + 15.0
return out
return net1() + net2()
Net()(5.0)
def test_maybe_poly_func():
''' different func_with_fv in net1 and net2 may produce poly node. '''
context.set_context(mode=context.GRAPH_MODE)
class Net(nn.Cell):
def __init__(self):
super().__init__()
def construct(self, x, y, z):
def identity(f, inp):
return f(inp)
def func_with_fv(yy):
return (x, yy)
def make_call():
out1 = identity(func_with_fv, y)
out2 = identity(func_with_fv, z)
return (out1, out2)
return make_call()
y_input = Tensor(np.array([1, 2]).astype(np.int32))
z_input = Tensor(np.array([[2, 2], [3, 3]]).astype(np.int32))
Net()(1, y_input, z_input)