[Runtime][PipelineExecutor] Getting the asynchronous output (apache#1…

…0723)

This patch create a new GlobalRuntime to check whether the output data
ready and poll global output of pipeline, it also removed the sequence
pipeline execution logic as the asynchronous logic already done.

python/tvm/contrib/pipeline_executor.py

@@ -125,9 +125,9 @@ def __init__(self, module):
         self._get_input_pipeline_map = self.module["get_input_pipeline_map"]
         self._get_pipe_execute_count = self.module["get_execute_count"]
 
-    def run(self, sync=False):
+    def run(self):
         """Run the pipeline executor."""
-        self._run(sync)
+        self._run()
 
     def get_input_pipeline_map(self, name):
         """Using the "name" to get the corresponding subgraph index and also get the "input name"

src/runtime/pipeline/pipeline_executor.cc

@@ -78,7 +78,7 @@ PackedFunc PipelineExecutor::GetFunction(const std::string& name,
     return PackedFunc(
         [sptr_to_self, this](TVMArgs args, TVMRetValue* rv) { *rv = this->GetOutput(); });
   } else if (name == "run") {
-    return PackedFunc([sptr_to_self, this](TVMArgs args, TVMRetValue* rv) { this->Run(args[0]); });
+    return PackedFunc([sptr_to_self, this](TVMArgs args, TVMRetValue* rv) { this->Run(); });
   } else if (name == "get_execute_count") {
     return PackedFunc(
         [sptr_to_self, this](TVMArgs args, TVMRetValue* rv) { *rv = this->GetExecutionCount(); });
@@ -140,13 +140,8 @@ int PipelineExecutor::GetParamsGroupPipelineMap(const std::string& name) {
   return param_connection_config[name];
 }
 
-/*!
- * \brief Run the pipeline executor.
- * \param serialized_mode Whether run the pipeline executor in serialized mode.
- */
-void PipelineExecutor::Run(bool serialized_mode) {
-  pipeline_scheduler_.PipelineRun(runtimes_, pipeline_config_, serialized_mode);
-}
+/*!\brief Run the pipeline executor.*/
+void PipelineExecutor::Run() { pipeline_scheduler_.PipelineRun(runtimes_, pipeline_config_); }
 /*!
  * \brief return A list of global output data.
  */

src/runtime/pipeline/pipeline_executor.h

@@ -113,11 +113,8 @@ class TVM_DLL PipelineExecutor : public ModuleNode {
    * \return The number of outputs.
    */
   int NumOutputs() const { return num_outputs_; }
-  /*!
-   * \brief Run the pipeline executor.
-   * \param serialized_mode Whether run the pipeline executor in serialized mode.
-   */
-  void Run(bool serialized_mode);
+  /*!\brief Run the pipeline executor.*/
+  void Run();
   /*!
    * \brief Get a list output data.
    * \return A list of output data.

src/runtime/pipeline/pipeline_scheduler.cc

@@ -32,6 +32,7 @@ std::vector<std::shared_ptr<BackendRuntime>> PipelineScheduler::PipelineInit(
     const std::vector<Module>& modules, const ConfigPipelineExecution& pipeline_config) {
   std::vector<std::shared_ptr<BackendRuntime>> runtimes;
   graph_modules_ = modules;
+  global_runtime_ = std::make_shared<GlobalRuntime>(GLOBAL_MODULE_INDEX);
   // Creating a list of runtimes.
   for (size_t i = 0; i < graph_modules_.size(); i++) {
     auto run_item = std::make_shared<BackendRuntime>(graph_modules_[i], i);
@@ -49,71 +50,25 @@ std::vector<std::shared_ptr<BackendRuntime>> PipelineScheduler::PipelineInit(
   }
   // Initializing and then running the worker thread.
   for (auto runtime : runtimes) {
-    runtime->InitializePipeline(pipeline_config, &runtimes);
+    runtime->InitializePipeline(pipeline_config, &runtimes, global_runtime_);
   }
   return runtimes;
 }
-/*!
- * \brief Running the pipeline logic in the sequential mode.
- * \param runtimes A list of backend runtime modules.
- * \param pipeline_config The dependent configuration of each runtime module.
- */
-void PipelineScheduler::PipelineRunSequential(
-    const std::vector<std::shared_ptr<BackendRuntime>>& runtimes,
-    ConfigPipelineExecution pipeline_config) {
-  for (size_t i = 0; i < runtimes.size(); i++) {
-    // The "runtimes" is a list of runtime sorted by the runtime index which should be
-    // contiguous ascend.
-    if (static_cast<int>(i) != runtimes[i]->GetModuleIndex()) {
-      LOG(FATAL) << "Runtime index " << runtimes[i]->GetModuleIndex()
-                 << " is not as same as vector offset value " << i;
-    }
-
-    if (!pipeline_config.FindModuleInConfig(i)) {
-      LOG(FATAL) << "Not find the configuration for the module " << i;
-    }
-
-    runtimes[i]->Run();
-    // Getting the output then forwarding into other module once it is configured as input of
-    // another module or storaging into the "output_array" when the output is a global one.
-    int outputs_num = runtimes[i]->NumOutputs();
-    for (int j = 0; j < outputs_num; j++) {
-      ConfigBindings& out_binding = pipeline_config[i][j];
-      std::unordered_map<int, std::string>& input_connections = out_binding.Get();
-      NDArray output = runtimes[i]->GetOutput(j);
-      for (auto bind : input_connections) {
-        // "bind.first < 0" means the bind is a global bind, by pass the forwarding for
-        // a global bind.
-        if (bind.first < 0) continue;
-        // Setting the output as an input data into the runtime module.
-        runtimes[bind.first]->SetInput(bind.second, const_cast<DLTensor*>(output.operator->()));
-      }
-      // Store the output.
-      if (out_binding.IsGlobalOutput()) {
-        int global_idx = out_binding.GetGlobalOutputIndex();
-        TVMArrayCopyFromTo(const_cast<DLTensor*>(output.operator->()),
-                           const_cast<DLTensor*>(output_arrays_[global_idx].operator->()), nullptr);
-      }
-    }
-  }
-}
 /*!
  * \brief Running pipeline logic.
  * \param runtimes A list of backend runtime modules.
  * \param pipeline_config The dependency configuration of each runtime module.
- * \param sequential_mode Whether the execution is in a sequential mode.
  */
 void PipelineScheduler::PipelineRun(const std::vector<std::shared_ptr<BackendRuntime>>& runtimes,
-                                    ConfigPipelineExecution pipeline_config, bool sequential_mode) {
-  if (!sequential_mode) {
-    runtimes.front()->RunPipeline();
-  } else {
-    PipelineRunSequential(runtimes, pipeline_config);
-  }
+                                    ConfigPipelineExecution pipeline_config) {
+  runtimes.front()->RunPipeline();
 }
 /*!
  * \brief Get a list of output.
  */
-Array<NDArray> PipelineScheduler::PipelineGetOutput() { return output_arrays_; }
+Array<NDArray> PipelineScheduler::PipelineGetOutput() {
+  bool ret = global_runtime_->GetOutput(&output_arrays_);
+  return ret ? output_arrays_ : Array<NDArray>{};
+}
 }  // namespace runtime
 }  // namespace tvm

src/runtime/pipeline/pipeline_scheduler.h

@@ -47,17 +47,9 @@ class PipelineScheduler {
    * \brief Running the pipeline logic.
    * \param runtimes A list of backend runtime modules.
    * \param pipeline_config The dependency configuration of each runtime module.
-   * \param sequential_mode Whether the execution is in a sequential mode.
    */
   void PipelineRun(const std::vector<std::shared_ptr<BackendRuntime>>& runtimes,
-                   ConfigPipelineExecution pipeline_config, bool sequential_mode = false);
-  /*!
-   * \brief Running the pipeline logic in the sequential mode.
-   * \param runtimes A list of backend runtime modules.
-   * \param pipeline_config The dependent configuration of each runtime module.
-   */
-  void PipelineRunSequential(const std::vector<std::shared_ptr<BackendRuntime>>& runtimes,
-                             ConfigPipelineExecution pipeline_config);
+                   ConfigPipelineExecution pipeline_config);
   /*!
    * \brief Get a list of outputs.
    */
@@ -68,6 +60,8 @@ class PipelineScheduler {
   std::vector<Module> graph_modules_;
   /*!\brief A list of NDArray used to storage outputs.*/
   Array<NDArray> output_arrays_;
+  /*!\brief The global runtime to represent the pipeline executor.*/
+  std::shared_ptr<GlobalRuntime> global_runtime_;
 };
 }  // namespace runtime
 }  // namespace tvm