[Runtime][Pipeline Executor] multiple threads management and the data forwarding notification mechanism.

python/tvm/contrib/pipeline_executor.py

@@ -117,22 +117,18 @@ def __init__(self, module):
         # Get the packed functions from the pipeline executor.
         self._get_params_group_pipeline_map = self.module["get_params_group_pipeline_map"]
         self._run = self.module["run"]
-        self._stop = self.module["stop"]
         self._set_param = self.module["set_param"]
         self._set_input = self.module["set_input"]
         self._get_input = self.module["get_input"]
         self._get_output = self.module["get_output"]
         self._get_num_outputs = self.module["get_num_outputs"]
         self._get_input_pipeline_map = self.module["get_input_pipeline_map"]
+        self._get_pipe_execute_number = self.module["get_statistic_pipe_execute_number"]
 
     def run(self, sync=False):
         """Run the pipeline executor."""
         self._run(sync)
 
-    def stop(self):
-        """Stop the pipeline executor."""
-        self._stop()
-
     def get_input_pipeline_map(self, name):
         """Using the "name" to get the corresponding subgraph index and also get the "input name"
         of the corresponding subgraph interface.
@@ -213,6 +209,16 @@ def get_output(self):
         """
         return self._get_output()
 
+    @property
+    def number_pipe_execute(self):
+        """Getting the numbers of running pipeline.
+        Returns
+        -------
+        count : int
+            The numbers of running pipeline.
+        """
+        return self._get_pipe_execute_number()
+
     @property
     def num_outputs(self):
         """Get the number of outputs.

src/runtime/pipeline/pipeline_executor.cc

@@ -79,8 +79,10 @@ PackedFunc PipelineExecutor::GetFunction(const std::string& name,
         [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]); });
-  } else if (name == "stop") {
-    return PackedFunc([sptr_to_self, this](TVMArgs args, TVMRetValue* rv) { this->Stop(); });
+  } else if (name == "get_statistic_pipe_execute_number") {
+    return PackedFunc([sptr_to_self, this](TVMArgs args, TVMRetValue* rv) {
+      *rv = this->PipelineStatisticPipeExecuteNumber();
+    });
   } else {
     LOG(FATAL) << "Unknown packed function: " << name;
     return PackedFunc();
@@ -96,7 +98,6 @@ PackedFunc PipelineExecutor::GetFunction(const std::string& name,
 void PipelineExecutor::SetInput(std::string input_name, DLTensor* data_in) {
   std::pair<int, int> indexs = this->GetInputIndex(input_name);
   if (indexs.first < 0 || indexs.first >= static_cast<int>(runtimes_.size())) {
-    this->Stop();
     LOG(FATAL) << "input name " << input_name << " not found.";
   }
   runtimes_[indexs.first]->SetInput(indexs.second, data_in);
@@ -109,7 +110,6 @@ void PipelineExecutor::SetInput(std::string input_name, DLTensor* data_in) {
 NDArray PipelineExecutor::GetInput(std::string input_name) {
   std::pair<int, int> indexs = this->GetInputIndex(input_name);
   if (indexs.first < 0 || indexs.first >= static_cast<int>(runtimes_.size())) {
-    this->Stop();
     LOG(FATAL) << "input name " << input_name << " not found.";
   }
   return runtimes_[indexs.first]->GetInput(indexs.second);
@@ -153,11 +153,6 @@ void PipelineExecutor::Run(bool serialized_mode) {
  * \brief return A list of global output data.
  */
 Array<NDArray> PipelineExecutor::GetOutput(void) { return pipeline_scheduler_.PipelineGetOutput(); }
-/*!
- * \brief Stop the pipeline executor.
- */
-void PipelineExecutor::Stop() { pipeline_scheduler_.PipelineStop(); }
-
 /*!
  * \brief Use the mod_config information to create a graph runtime list.
  * \param mod_config The config information that generates by the export library function call.
@@ -242,6 +237,12 @@ std::pair<int, int> PipelineExecutor::GetInputIndex(const std::string& name) {
   auto gruntime = runtimes_[index.first];
   return std::make_pair(index.first, gruntime->GetInputIndex(index.second));
 }
+/*!
+ * \brief Getting the numbers of running pipeline.
+ */
+int PipelineExecutor::PipelineStatisticPipeExecuteNumber() {
+  return runtimes_.back()->GetStatisticPipelineExecuteNumber();
+}
 /*!
  * \brief Initialize the pipeline executor with a list of modules to be pipelined
  *  and config in JSON format.

src/runtime/pipeline/pipeline_executor.h

@@ -95,6 +95,10 @@ class TVM_DLL PipelineExecutor : public ModuleNode {
    * \return Return input data.
    */
   NDArray GetInput(std::string input_name);
+  /*!
+   * \brief Getting the numbers of running pipeline.
+   */
+  int PipelineStatisticPipeExecuteNumber();
   /*!
    * \brief Use the parameters group name to get the specific backend runtime then use
    *  the param_key_name to set param data for the said backend runtime.
@@ -114,10 +118,6 @@ class TVM_DLL PipelineExecutor : public ModuleNode {
    * \param serialized_mode Whether run the pipeline executor in serialized mode.
    */
   void Run(bool serialized_mode);
-  /*!
-   * \brief Stop the pipeline executor.
-   */
-  void Stop();
   /*!
    * \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;
+  // Creating a list of runtimes.
   for (size_t i = 0; i < graph_modules_.size(); i++) {
     auto runItem = std::make_shared<BackendRuntime>(graph_modules_[i], i);
     runtimes.push_back(runItem);
@@ -46,6 +47,10 @@ std::vector<std::shared_ptr<BackendRuntime>> PipelineScheduler::PipelineInit(
     NDArray output = runtimes[output_pair.first]->CreateFromOutput(output_pair.second);
     output_arrays_.push_back(output);
   }
+  // Initializing and then running the worker thread.
+  for (auto runtime : runtimes) {
+    runtime->InitializePipeline(pipeline_config, &runtimes);
+  }
   return runtimes;
 }
 /*!
@@ -101,18 +106,11 @@ void PipelineScheduler::PipelineRunSequential(
 void PipelineScheduler::PipelineRun(const std::vector<std::shared_ptr<BackendRuntime>>& runtimes,
                                     ConfigPipelineExecution pipeline_config, bool sequential_mode) {
   if (!sequential_mode) {
-    // TODO(huajsj) remove this check after all of pipeline features in.
-    LOG(FATAL) << "Currently only supports sequential mode.";
+    runtimes.front()->RunPipeLine();
   } else {
     PipelineRunSequential(runtimes, pipeline_config);
   }
 }
-/*!
- * \brief Stop the pipeline exection.
- */
-void PipelineScheduler::PipelineStop() {
-  // TODO(huajsj) Add stop logic.
-}
 /*!
  * \brief Get a list of output.
  */

src/runtime/pipeline/pipeline_scheduler.h

@@ -58,10 +58,6 @@ class PipelineScheduler {
    */
   void PipelineRunSequential(const std::vector<std::shared_ptr<BackendRuntime>>& runtimes,
                              ConfigPipelineExecution pipeline_config);
-  /*!
-   * \brief Stop the pipeline exection.
-   */
-  void PipelineStop();
   /*!
    * \brief Get a list of outputs.
    */