Trueif the labels for a tensor are in the desired
labels_list. If there are inputs to the filtering function other than
sample_in, it must be decorated with
ds.filter()command below, and it returns a virtual view of the dataset (dataset view) that only contains the indices that met the filtering condition. Just like in the Parallel Computing API, the
sample_inparameter does not need to be passed into the filter function when evaluating it, and multi-processing can be specified using the
ds_viewcan be accessed just like a regular dataset.
in, ==, !=, >, <, >=, <=), and numpy-like operators and indexing can be applied such as
'images.min > 5',
'images.shape==1', and others.