Пример #1
0
 def _dispose(self, value_ref: executor_pb2.ValueRef):
     """Disposes of the remote value stored on the worker service."""
     self._dispose_request.value_ref.append(value_ref)
     if len(self._dispose_request.value_ref) < self._dispose_batch_size:
         return
     dispose_request = self._dispose_request
     self._dispose_request = executor_pb2.DisposeRequest()
     if self._bidi_stream is None:
         _request(self._stub.Dispose, dispose_request)
     else:
         send_request_fut = self._bidi_stream.send_request(
             executor_pb2.ExecuteRequest(dispose=dispose_request))
         # We don't care about the response, and so don't bother to await it.
         # Just start it as a task so that it runs at some point.
         asyncio.get_event_loop().create_task(send_request_fut)
Пример #2
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    def __init__(self,
                 channel,
                 rpc_mode='REQUEST_REPLY',
                 thread_pool_executor=None,
                 dispose_batch_size=20):
        """Creates a remote executor.

    Args:
      channel: An instance of `grpc.Channel` to use for communication with the
        remote executor service.
      rpc_mode: Optional mode of calling the remote executor. Must be either
        'REQUEST_REPLY' or 'STREAMING' (defaults to 'REQUEST_REPLY'). This
        option will be removed after the request-reply interface is deprecated.
      thread_pool_executor: Optional concurrent.futures.Executor used to wait
        for the reply to a streaming RPC message. Uses the default Executor if
        not specified.
      dispose_batch_size: The batch size for requests to dispose of remote
        worker values. Lower values will result in more requests to the remote
        worker, but will result in values being cleaned up sooner and therefore
        may result in lower memory usage on the remote worker.
    """

        py_typecheck.check_type(channel, grpc.Channel)
        py_typecheck.check_type(rpc_mode, str)
        py_typecheck.check_type(dispose_batch_size, int)
        if rpc_mode not in ['REQUEST_REPLY', 'STREAMING']:
            raise ValueError('Invalid rpc_mode: {}'.format(rpc_mode))

        logging.debug('Creating new ExecutorStub with RPC_MODE=%s', rpc_mode)

        self._channel_status = False

        def _channel_status_callback(
                channel_connectivity: grpc.ChannelConnectivity):
            self._channel_status = channel_connectivity

        channel.subscribe(_channel_status_callback, try_to_connect=True)

        # We need to keep a reference to the channel around to prevent the Python
        # object from being GC'ed and the callback above from no-op'ing.
        self._channel = channel
        self._stub = executor_pb2_grpc.ExecutorStub(channel)
        self._bidi_stream = None
        self._dispose_batch_size = dispose_batch_size
        self._dispose_request = executor_pb2.DisposeRequest()
        if rpc_mode == 'STREAMING':
            logging.debug('Creating Bidi stream')
            self._bidi_stream = _BidiStream(self._stub, thread_pool_executor)
Пример #3
0
    def __init__(self,
                 channel,
                 rpc_mode=None,
                 thread_pool_executor=None,
                 dispose_batch_size=20):
        """Creates a remote executor.

    Args:
      channel: An instance of `grpc.Channel` to use for communication with the
        remote executor service.
      rpc_mode: (Deprecated) string, one of 'REQUEST_REPLY' or 'STREAMING'.
        Unused, still here for backwards compatibility.
      thread_pool_executor: Optional concurrent.futures.Executor used to wait
        for the reply to a streaming RPC message. Uses the default Executor if
        not specified.
      dispose_batch_size: The batch size for requests to dispose of remote
        worker values. Lower values will result in more requests to the remote
        worker, but will result in values being cleaned up sooner and therefore
        may result in lower memory usage on the remote worker.
    """

        py_typecheck.check_type(channel, grpc.Channel)
        py_typecheck.check_type(dispose_batch_size, int)
        if rpc_mode is not None:
            warnings.warn(
                'The rpc_mode argument is deprecated and slated for '
                'removal. Please update your callsites to avoid specifying '
                'rpc_mode.')
        del rpc_mode

        logging.debug('Creating new ExecutorStub')

        self._channel_status = False

        def _channel_status_callback(
                channel_connectivity: grpc.ChannelConnectivity):
            self._channel_status = channel_connectivity

        channel.subscribe(_channel_status_callback, try_to_connect=True)

        # We need to keep a reference to the channel around to prevent the Python
        # object from being GC'ed and the callback above from no-op'ing.
        self._channel = channel
        self._stub = executor_pb2_grpc.ExecutorStub(channel)
        self._dispose_batch_size = dispose_batch_size
        self._dispose_request = executor_pb2.DisposeRequest()
Пример #4
0
 def test_executor_service_value_unavailable_after_dispose(self):
     env = TestEnv(eager_tf_executor.EagerTFExecutor())
     value_proto, _ = executor_service_utils.serialize_value(
         tf.constant(10.0).numpy(), tf.float32)
     # Create the value
     response = env.stub.CreateValue(
         executor_pb2.CreateValueRequest(value=value_proto))
     self.assertIsInstance(response, executor_pb2.CreateValueResponse)
     value_id = str(response.value_ref.id)
     # Check that the value appears in the _values map
     env.get_value_future_directly(value_id)
     # Dispose of the value
     dispose_request = executor_pb2.DisposeRequest()
     dispose_request.value_ref.append(response.value_ref)
     response = env.stub.Dispose(dispose_request)
     self.assertIsInstance(response, executor_pb2.DisposeResponse)
     # Check that the value is gone from the _values map
     # get_value_future_directly is used here so that we can catch the
     # exception rather than having it occur on the GRPC thread.
     with self.assertRaises(KeyError):
         env.get_value_future_directly(value_id)
Пример #5
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    def __init__(self,
                 channel,
                 thread_pool_executor=None,
                 dispose_batch_size=20):
        """Creates a remote executor.

    Args:
      channel: An instance of `grpc.Channel` to use for communication with the
        remote executor service.
      thread_pool_executor: Optional concurrent.futures.Executor used to wait
        for the reply to a streaming RPC message. Uses the default Executor if
        not specified.
      dispose_batch_size: The batch size for requests to dispose of remote
        worker values. Lower values will result in more requests to the remote
        worker, but will result in values being cleaned up sooner and therefore
        may result in lower memory usage on the remote worker.
    """

        py_typecheck.check_type(channel, grpc.Channel)
        py_typecheck.check_type(dispose_batch_size, int)

        logging.debug('Creating new ExecutorStub')

        self._channel_status = False

        def _channel_status_callback(
                channel_connectivity: grpc.ChannelConnectivity):
            self._channel_status = channel_connectivity

        channel.subscribe(_channel_status_callback, try_to_connect=True)

        # We need to keep a reference to the channel around to prevent the Python
        # object from being GC'ed and the callback above from no-op'ing.
        self._channel = channel
        self._stub = executor_pb2_grpc.ExecutorStub(channel)
        self._dispose_batch_size = dispose_batch_size
        self._dispose_request = executor_pb2.DisposeRequest()