forked from mindspore-Ecosystem/mindspore
[bugfix] Heterogenous scenario in a ms function of PyNative Mode occur core dump
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@ -1192,6 +1192,7 @@ void SessionBasic::GetParameterIndex(const KernelGraph *graph, const std::vector
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<< ", input size: " << inputs.size();
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}
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const auto &input = inputs[index];
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MS_EXCEPTION_IF_NULL(input);
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// Check shape of input and parameter
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const auto &input_shape = input->shape();
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const auto ¶m_shape = AnfAlgo::GetOutputInferShape(param, 0);
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@ -168,6 +168,10 @@ void CreateKernelOutputDeviceAddress(const DeviceContext *device_context, const
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MS_EXCEPTION_IF_NULL(graph);
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const std::vector<CNodePtr> &kernels = graph->execution_order();
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for (const auto &kernel : kernels) {
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MS_EXCEPTION_IF_NULL(kernel);
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if (AnfAlgo::IsControlOpExecInBackend(kernel)) {
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continue;
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}
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auto kernel_mod = AnfAlgo::GetKernelMod(kernel);
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MS_EXCEPTION_IF_NULL(kernel_mod);
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auto output_sizes = kernel_mod->GetOutputSizeList();
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@ -190,6 +194,10 @@ void CreateKernelWorkspaceDeviceAddress(const DeviceContext *device_context, con
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MS_EXCEPTION_IF_NULL(graph);
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const std::vector<CNodePtr> &kernels = graph->execution_order();
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for (const auto &kernel : kernels) {
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MS_EXCEPTION_IF_NULL(kernel);
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if (AnfAlgo::IsControlOpExecInBackend(kernel)) {
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continue;
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}
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auto kernel_mod = AnfAlgo::GetKernelMod(kernel);
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MS_EXCEPTION_IF_NULL(kernel_mod);
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auto workspace_sizes = kernel_mod->GetWorkspaceSizeList();
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@ -494,6 +494,11 @@ void GraphScheduler::Initialize() {
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}
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ActorSet *GraphScheduler::Transform(const GraphCompilerInfo &graph_compiler_info) {
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// Local maps and vectors clear.
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graph_output_to_actor_.clear();
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front_node_to_actor_.clear();
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copy_actors_.clear();
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MS_LOG(INFO) << "Graph(" << graph_compiler_info.name_ << ") transforms actor begin.";
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if (graph_compiler_info.graphs_.size() == 0) {
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MS_LOG(EXCEPTION) << "The number of graphs is zero.";
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@ -349,6 +349,11 @@ const ActorInfo &MindRTBackend::CompileGraphs(const FuncGraphPtr &func_graph) {
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// Register a summary callback function, which is called in the final stages of summary.
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graph_compiler_->RegisterSummaryCallBackFunc(callbacks::SummarySaveCallback);
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auto context_ptr = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(context_ptr);
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ms_execution_mode_ = context_ptr->get_param<int>(MS_CTX_EXECUTION_MODE);
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real_execution_mode_ = ms_execution_mode_;
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// Compile root graph.
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graph_id_to_device_context_.clear();
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control_nodes_.clear();
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@ -365,10 +370,7 @@ const ActorInfo &MindRTBackend::CompileGraphs(const FuncGraphPtr &func_graph) {
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// Construct the graph compiler info.
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auto graph_compiler_info = ConstructGraphCompilerInfo(root_graph_);
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auto context_ptr = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(context_ptr);
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const bool graph_mode = context_ptr->get_param<int>(MS_CTX_EXECUTION_MODE) == kGraphMode;
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if (graph_mode) {
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if (real_execution_mode_ == kGraphMode) {
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// Transform graph to actor DAG, and schedule the actor DAG.
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const auto &actor_set = runtime::GraphScheduler::GetInstance().Transform(*graph_compiler_info);
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runtime::GraphScheduler::GetInstance().Schedule(actor_set);
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@ -383,9 +385,12 @@ void MindRTBackend::CompileGraph(const FuncGraphPtr &func_graph) {
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MS_EXCEPTION_IF_NULL(graph_partition_);
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MS_EXCEPTION_IF_NULL(graph_compiler_);
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bool contain_multi_target;
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// Split graph to segments.
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const auto &segments = graph_partition_->Partition(func_graph);
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const auto &segments = graph_partition_->Partition(func_graph, &contain_multi_target);
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MS_LOG(INFO) << "Compile graph: " << func_graph->ToString() << ", Split segments size:" << segments.size();
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auto context_ptr = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(context_ptr);
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// Foreach the segments to compile graph.
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for (const auto &segment : segments) {
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@ -409,8 +414,19 @@ void MindRTBackend::CompileGraph(const FuncGraphPtr &func_graph) {
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AnfNodePtrList outputs;
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std::tie(fg, inputs, outputs) = TransformSegmentToAnfGraph(segment->nodes_);
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// There will be more than one kernel graph in heterogeneous scenario in a ms function of PyNative Mode.
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if (contain_multi_target && ms_execution_mode_ == kPynativeMode) {
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real_execution_mode_ = kGraphMode;
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context_ptr->set_param<int>(MS_CTX_EXECUTION_MODE, kGraphMode);
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}
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// Compile graph.
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auto graph_id = graph_compiler_->CompileGraph(segment->nodes_, outputs, device_context);
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if (ms_execution_mode_ != real_execution_mode_) {
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context_ptr->set_param<int>(MS_CTX_EXECUTION_MODE, ms_execution_mode_);
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}
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graph_id_to_device_context_[graph_id] = device_context;
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} else {
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// Compile the cut node.
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@ -726,9 +742,8 @@ void MindRTBackend::RunGraph(const ActorInfo &actor_info, const VectorRef &args,
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// Run in the pynative mode.
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MS_EXCEPTION_IF_NULL(outputs);
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auto ms_context = MsContext::GetInstance();
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const bool pynative_mode = (ms_context->get_param<int>(MS_CTX_EXECUTION_MODE) == kPynativeMode);
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if (pynative_mode) {
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// There will be more than one kernel graph in heterogeneous scenario in a ms function of PyNative Mode.
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if (real_execution_mode_ == kPynativeMode) {
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RunGraphBySingleOp(graph_compiler_info.graphs_, input_tensors, outputs);
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return;
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}
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@ -163,6 +163,8 @@ class MindRTBackend : public Backend {
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std::shared_ptr<GraphCompiler> graph_compiler_;
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std::string device_name_;
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uint32_t device_id_;
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int ms_execution_mode_{kGraphMode};
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int real_execution_mode_{kGraphMode};
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};
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} // namespace compile
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} // namespace mindspore
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@ -588,11 +588,15 @@ bool GraphPartition::IsCut(const AnfNodePtr &node) {
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return false;
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}
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std::vector<GraphSegmentPtr> GraphPartition::Partition(const FuncGraphPtr &graph) {
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std::vector<GraphSegmentPtr> GraphPartition::Partition(const FuncGraphPtr &graph, bool *multi_target) {
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MS_EXCEPTION_IF_NULL(graph);
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auto nodes = TopoSort(graph->get_return());
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MS_LOG(DEBUG) << "Split all nodes size:" << nodes.size();
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bool contain_multi_target = ContainMultiTarget(nodes);
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if (multi_target != nullptr) {
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*multi_target = contain_multi_target;
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}
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auto context_ptr = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(context_ptr);
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std::string default_target = context_ptr->get_param<std::string>(MS_CTX_DEVICE_TARGET);
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@ -34,7 +34,7 @@ class GraphPartition {
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public:
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explicit GraphPartition(const std::vector<PrimitivePtr> &cut_list, const std::string &backend_name);
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~GraphPartition() = default;
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std::vector<GraphSegmentPtr> Partition(const FuncGraphPtr &func_graph);
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std::vector<GraphSegmentPtr> Partition(const FuncGraphPtr &func_graph, bool *multi_target = nullptr);
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private:
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bool IsCut(const AnfNodePtr &node);
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