for ForwardInToOutput op, StreamPropType of output(0) should be forwarded as input(0)
GitOrigin-RevId: 13e9587961
tags/v0.3.2
@@ -63,29 +63,21 @@ void SeqCompNodeOptimizerImpl::change_to_specific_stream( | |||
} | |||
ThinHashMap<VarNode*, StreamPropType> changed_vars; | |||
auto cb = [this, &changed_vars](OperatorNodeBase *opr) { | |||
if (opr->node_prop().contain( | |||
OperatorNodeBase::NodeProp::Flag:: | |||
DISALLOW_COMP_NODE_OPTIMIZE)) { | |||
return; | |||
std::pair<OperatorNodeBase*, StreamPropType> prop_type_storage; | |||
std::pair<OperatorNodeBase*, SmallVector<StreamPropType>> input_props_storage; | |||
// both `propagate_single_opr` and `get_input_props` might be called any number | |||
// of times(>=0) with the same \p opr in a cb(opr) function call, so we cache | |||
// the result of the first call. | |||
auto propagate_single_opr = [&](OperatorNodeBase* opr) { | |||
mgb_assert(opr); | |||
if (prop_type_storage.first == opr) { | |||
return prop_type_storage.second; | |||
} | |||
prop_type_storage.first = opr; | |||
// first check whether any output var is registered for change | |||
bool output_changed = false; | |||
for (auto i: opr->output()) { | |||
auto iter = m_var2prop_type.find(i); | |||
if (iter != m_var2prop_type.end()) { | |||
output_changed = true; | |||
var_to_specific_stream(i, iter->second.stream); | |||
changed_vars[i] = iter->second; | |||
} | |||
} | |||
if (output_changed) | |||
return; | |||
// check inputs | |||
bool any_strong_changed = false, all_weak_changed = true, | |||
all_weak_changed_valid = false; | |||
all_weak_changed_valid = false; | |||
auto &&dep_map = opr->node_prop().dep_map(); | |||
ThinHashSet<int> inp_streams; | |||
@@ -100,6 +92,7 @@ void SeqCompNodeOptimizerImpl::change_to_specific_stream( | |||
if (iter == changed_vars.end()) { | |||
all_weak_changed = false; | |||
} else { | |||
mgb_assert(iter->second.prop_type != StreamPropType::NONE); | |||
if (iter->second.prop_type == StreamPropType::STRONG) { | |||
any_strong_changed = true; | |||
} else { | |||
@@ -109,21 +102,75 @@ void SeqCompNodeOptimizerImpl::change_to_specific_stream( | |||
} | |||
} | |||
auto type = StreamPropType::NONE; | |||
int stream = 0; | |||
if (any_strong_changed || | |||
(all_weak_changed && all_weak_changed_valid)) { | |||
auto type = any_strong_changed ? | |||
type = any_strong_changed ? | |||
StreamPropType::STRONG : StreamPropType::WEAK; | |||
int stream = 0; | |||
int copy_stream = CompNode::Stream::COPY; | |||
int nccl_stream = CompNode::Stream::NCCL; | |||
if (inp_streams.count(copy_stream)) | |||
stream = copy_stream; | |||
else if (inp_streams.count(nccl_stream)) | |||
stream = nccl_stream; | |||
mgb_assert(stream != 0); | |||
for (auto i: opr->output()) { | |||
var_to_specific_stream(i, stream); | |||
changed_vars[i] = StreamPropType{stream, type}; | |||
mgb_assert(type != StreamPropType::NONE && stream != 0); | |||
} | |||
return prop_type_storage.second = StreamPropType{stream, type}; | |||
}; | |||
auto get_input_props = [&](OperatorNodeBase *opr) { | |||
mgb_assert(opr); | |||
if (input_props_storage.first == opr) { | |||
return input_props_storage.second; | |||
} | |||
input_props_storage.first = opr; | |||
auto &&props = input_props_storage.second; | |||
props.clear(); | |||
for (auto i : opr->input()) { | |||
auto &&iter = changed_vars.find(i); | |||
if (iter != changed_vars.end()) { | |||
props.push_back(iter->second); | |||
} else { | |||
props.push_back(StreamPropType{0, StreamPropType::NONE}); | |||
} | |||
} | |||
return input_props_storage.second; | |||
}; | |||
auto cb = [&](OperatorNodeBase *opr) { | |||
if (opr->node_prop().contain( | |||
OperatorNodeBase::NodeProp::Flag:: | |||
DISALLOW_COMP_NODE_OPTIMIZE)) { | |||
return; | |||
} | |||
// first check whether any output var is registered for change | |||
bool output_changed = false; | |||
for (auto i: opr->output()) { | |||
auto iter = m_var2prop_type.find(i); | |||
if (iter != m_var2prop_type.end()) { | |||
output_changed = true; | |||
var_to_specific_stream(i, iter->second.stream); | |||
changed_vars[i] = iter->second; | |||
} | |||
} | |||
if (output_changed) | |||
return; | |||
for (auto i: opr->output()) { | |||
StreamPropType prop; | |||
auto &&iter = m_var2prop_func.find(i); | |||
if (iter != m_var2prop_func.end()) { | |||
iter->second(prop, get_input_props(opr)); | |||
} | |||
else { | |||
prop = propagate_single_opr(opr); | |||
} | |||
if (prop.prop_type != StreamPropType::NONE) { | |||
var_to_specific_stream(i, prop.stream); | |||
changed_vars[i] = prop; | |||
} | |||
} | |||
}; | |||
@@ -152,6 +199,12 @@ void SeqCompNodeOptimizerImpl::register_stream_var( | |||
} | |||
} | |||
void SeqCompNodeOptimizerImpl::register_propagate_function( | |||
VarNode *var, PropFunction prop_func) { | |||
mgb_assert(var->owner_graph() == m_owner_graph); | |||
mgb_assert(m_var2prop_func.emplace(var, prop_func).second); | |||
} | |||
void SeqCompNodeOptimizerImpl::init_ready_event( | |||
const CompSeqExtraInfo &extra_info, const OprNodeArray &seq) { | |||
// clear existing synchronizers | |||
@@ -23,6 +23,7 @@ class SeqCompNodeOptimizerImpl final: public SeqCompNodeOptimizer { | |||
ComputingGraphImpl *m_owner_graph; | |||
std::vector<std::pair<VarNode*, CompNode>> m_comp_node_to_restore; | |||
ThinHashSet<OperatorNodeBase*> m_comp_node_changed_oprs; | |||
ThinHashMap<VarNode*, PropFunction> m_var2prop_func; | |||
/*! | |||
* cn0 -> (cn1 -> [(a, b)]): an opr at step \p a on \p cn0 is known to start | |||
@@ -56,6 +57,8 @@ class SeqCompNodeOptimizerImpl final: public SeqCompNodeOptimizer { | |||
void register_stream_var(VarNode* var, StreamPropType prop_type) override; | |||
void register_propagate_function(VarNode* var, PropFunction prop_func) override; | |||
StreamPropType stream_prop_type(VarNode *var) override { | |||
auto iter = m_var2prop_type.find(var); | |||
return iter == m_var2prop_type.end() | |||
@@ -39,11 +39,18 @@ class SeqCompNodeOptimizer { | |||
int stream; //!< stream to change | |||
PropType prop_type; | |||
}; | |||
using PropFunction = thin_function<void( | |||
StreamPropType& /* dest */, | |||
const SmallVector<StreamPropType>& /* srcs */)>; | |||
//! register a var that should be placed on the stream | |||
virtual void register_stream_var( | |||
VarNode* var, StreamPropType prop_type) = 0; | |||
//! register a propagate function on given var_node | |||
virtual void register_propagate_function( | |||
VarNode* var, PropFunction prop_func) = 0; | |||
//! check if a var has been registered in stream and get its | |||
//! propagation type | |||
virtual StreamPropType stream_prop_type(VarNode *var) = 0; | |||
@@ -38,6 +38,11 @@ class ComputingGraphImpl : public ComputingGraph { | |||
public: | |||
GraphExecutable::ExecEnv* current_exec_env(); | |||
}; | |||
class SeqCompNodeOptimizerImpl : public SeqCompNodeOptimizer { | |||
~SeqCompNodeOptimizerImpl() = default; | |||
public: | |||
void optimize_comp_nodes(const VarNodeArray &endpoints); | |||
}; | |||
} // namespace cg | |||
} // namespace mgb | |||
@@ -1746,4 +1751,27 @@ TEST(TestGraph, CPUGPUHybrid) { | |||
} | |||
TEST(TestGraph, In2OutOpStreamPropagate) { | |||
REQUIRE_GPU(1); // seq_comp_node_opt works on comp_node with HAS_COPY_STREAM | |||
HostTensorGenerator<> gen; | |||
SmallVector<std::shared_ptr<HostTensorND>> host_v = {gen({233}), gen({23})}; | |||
using PropType = cg::SeqCompNodeOptimizer::StreamPropType; | |||
for (auto type : {PropType::STRONG, PropType::WEAK}) | |||
for (size_t idx : {0, 1}) { | |||
auto graph = ComputingGraph::make(); | |||
SymbolVarArray inp(2); | |||
for (size_t i = 0 ; i < 2; ++ i) { | |||
inp[i] = opr::Host2DeviceCopy::make(*graph, host_v[i]); | |||
} | |||
auto out = opr::VirtualDep::make(inp); | |||
auto &&mgr = static_cast<cg::SeqCompNodeOptimizerImpl&>(graph->seq_comp_node_optimizer()); | |||
mgr.register_stream_var(inp[idx].node(), PropType{CompNode::Stream::COPY, type}); | |||
mgr.optimize_comp_nodes({out.node()}); | |||
ASSERT_EQ(inp[0].node()->comp_node(), out.node()->comp_node()); | |||
auto o_stream = out.node()->comp_node().locator().stream; | |||
int expect = idx ? 0 : int(CompNode::Stream::COPY); | |||
ASSERT_EQ(o_stream, expect); | |||
} | |||
} | |||
// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}} |
@@ -168,4 +168,14 @@ void ForwardInputToOutput::mixin_scn_do_execute(OperatorNodeBase &opr) { | |||
void ForwardInputToOutput::scn_do_execute_finish(const DeviceTensorND&) {} | |||
void ForwardInputToOutput::register_stream_propagate_in2out(OperatorNodeBase &opr) { | |||
auto &&ovar = opr.output(0); | |||
auto&& mgr = ovar->owner_graph()->seq_comp_node_optimizer(); | |||
using PropType = cg::SeqCompNodeOptimizer::StreamPropType; | |||
auto func = [](PropType& dst, const SmallVector<PropType>& inp) { | |||
dst = inp[0]; | |||
}; | |||
mgr.register_propagate_function(ovar, func); | |||
} | |||
// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}} |
@@ -87,6 +87,12 @@ class ForwardInputToOutput: public cg::OperatorNodeMixinBase { | |||
*/ | |||
void set_ignore_side_effect(); | |||
/*! | |||
* \brief register stream propagate function which forwards the | |||
* StreamPropType from \p opr input(0) to output(0). | |||
*/ | |||
void register_stream_propagate_in2out(OperatorNodeBase &opr); | |||
public: | |||
/*! | |||
@@ -178,6 +184,11 @@ MGB_DEFINE_CLS_WITH_SUPER(ForwardInputToOutput, | |||
void init_output_static_infer_desc() override { | |||
this->mixin_init_output_static_infer_desc(*this); | |||
} | |||
void init_output_comp_node() override { | |||
Super::init_output_comp_node(); | |||
this->register_stream_propagate_in2out(*this); | |||
} | |||
}; | |||
} // namespace intl | |||