Пример #1
0
    def _communicate(self, request, debug=False):
        """Gets response and logs messages if need to.

        Args:
          request: protocol_pb2.Request
          debug: boolean, if True and response contains inference result, print up
            to the first 10 elements of each returned vector.

        Returns:
          protocol_pb2.Response
        """
        response = protocol_pb2.Response()
        response.ParseFromString(
            self._transport.send(request.SerializeToString()))
        if response.status.code != protocol_pb2.Response.Status.OK:
            raise InferenceException(response.status.message)

        if debug:
            # Print up to the first 10 elements of each returned vector.
            for name, tensor in response.result.tensors.items():
                data = tensor.data[0:10]
                logging.info('First %d elements of output tensor:', len(data))
                for index, value in enumerate(data):
                    logging.info('  %s[%d] = %f', name, index, value)

        return response
  def _communicate(self, request, debug=False):
    """Gets response and logs messages if need to.

    Args:
      request: protocol_pb2.Request
      debug: boolean, if True and response contains inference result, print up
        to the first 10 elements of each returned vector.

    Returns:
      protocol_pb2.Response
    """
    response = protocol_pb2.Response()
    response.ParseFromString(self._transport.send(request.SerializeToString()))

    # TODO: throw exception when error happens
    for error in response.errors:
      if error.type == protocol_pb2.Response.Error.INFO:
        logging.info(error.msg)
      elif error.type == protocol_pb2.Response.Error.WARNING:
        logging.warning(error.msg)
      elif error.type == protocol_pb2.Response.Error.ERROR:
        logging.error(error.msg)
      else:
        logging.error('Unknown error type: %d', error.type)

    if debug:
      # Print up to the first 10 elements of each returned vector.
      for name, tensor in response.result.tensors.items():
        data = tensor.data[0:10]
        logging.info('First %d elements of output tensor:', len(data))
        for index, value in enumerate(data):
          logging.info('  %s[%d] = %f', name, index, value)
    return response
Пример #3
0
 def _communicate_bytes(self, request_bytes, timeout=None):
     response = pb2.Response()
     response.ParseFromString(
         self._transport.send(request_bytes, timeout=timeout))
     if response.status.code != pb2.Response.Status.OK:
         raise InferenceException(response.status.message)
     return response
Пример #4
0
    def _communicate(self, request):
        """Gets response and logs messages if need to.

        Args:
          request: protocol_pb2.Request

        Returns:
          protocol_pb2.Response
        """
        response = protocol_pb2.Response()
        response.ParseFromString(self._transport.send(request.SerializeToString()))
        if response.status.code != protocol_pb2.Response.Status.OK:
            raise InferenceException(response.status.message)
        return response
Пример #5
0
def get_invalid(spicomm, size, timeout=None):
    response = pb2.Response()
    response.ParseFromString(spicomm.transact(b'A' * size, timeout))
    return response
Пример #6
0
def get_camera_state(spicomm, timeout=None):
    request = pb2.Request(get_camera_state=pb2.Request.GetCameraState())
    response = pb2.Response()
    response.ParseFromString(
        spicomm.transact(request.SerializeToString(), timeout))
    return response