class_docstr: Global environment for extracting tuning tasks from graph
class_docstr_tok: ["Global","environment","for","extracting","tuning","tasks","from","graph"]
docstr: Get collected tasks
  
  Returns
  -------
  tasks: List of tuple(name, args)
      A list of tasks extracted from the graph
docstr_tok: ["Get","collected","tasks","Returns","--","--","--","-","tasks",":","List","of","tuple","(","name",",","args",")","A","list","of","tasks","extracted","from","the","graph"]
code: def get_tasks(self):
      """Get collected tasks
  
      Returns
      -------
      tasks: List of tuple(name, args)
          A list of tasks extracted from the graph
      """
      return self.task_collection
  
file_path: tvm/python/tvm/autotvm/task/topi_integration.py
imports: import functools
  import tvm.te._ffi_api
  from tvm.target import Target
  from tvm.te import tensor
  from .task import args_to_workload, serialize_args, DispatchContext, _register_task_compute, _register_task_schedule
label_desc: Use image node_id 6 for calling the TaskExtractEnv obj's underlying member method code with example usage: obj.get_tasks() and returns: self