pybootd

def parse_example_v2(serialized, features, example_names=None, name=None):
  # pylint: disable=line-too-long
  """Parses `Example` protos into a `dict` of tensors.

  Parses a number of serialized [`Example`](https://www.tensorflow.org/code/tensorflo  

def examples_queue(data_sources, data_fields_to_features, training,
                   data_items_to_decoders=None, data_items_to_decode=None):
  """Contruct a queue of training or evaluation examples.

  This function will create a reader from files  

def test_on_batch(self, x, y=None, sample_weight=None, reset_metrics=True):
    """Test the model on a single batch of samples.

    Args:
        x: Input data. It could be:
          - A Numpy array (or array-like), or a list of arrays