parameters: (port)
docstring: Start a profiler grpc server that listens to given port.
  
    The profiler server will keep the program running even the training finishes.
    Please shutdown the server with CTRL-C. It can be used in both eager mode and
    graph mode. The service defined in
    tensorflow/core/profiler/profiler_service.proto. Please use
    tensorflow/contrib/tpu/profiler/capture_tpu_profile to capture tracable
    file following https://cloud.google.com/tpu/docs/cloud-tpu-tools#capture_trace
  
    Args:
      port: port profiler server listens to.
docstring_summary: Start a profiler grpc server that listens to given port.
docstring_tokens: Start a profiler grpc server that listens to given port .
function: def start_profiler_server(port):
    """Start a profiler grpc server that listens to given port.
  
    The profiler server will keep the program running even the training finishes.
    Please shutdown the server with CTRL-C. It can be used in both eager mode and
    graph mode. The service defined in
    tensorflow/core/profiler/profiler_service.proto. Please use
    tensorflow/contrib/tpu/profiler/capture_tpu_profile to capture tracable
    file following https://cloud.google.com/tpu/docs/cloud-tpu-tools#capture_trace
  
    Args:
      port: port profiler server listens to.
    """
    if context.default_execution_mode == context.EAGER_MODE:
      context.ensure_initialized()
    pywrap_tensorflow.TFE_StartProfilerServer(port)
function_tokens: def start_profiler_server ( port ) : if context . default_execution_mode == context . EAGER_MODE : context . ensure_initialized ( ) pywrap_tensorflow . TFE_StartProfilerServer ( port )