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 | |||