module 'learn2learn has no attribute FusedNWayKShots'

[fyancy]

This may be caused by the Version incompatibility of learn2learn. Our codes support learn2learn with version >= 0.1.5, and the original codes are:

tasks = l2l.data.TaskDataset(dataset, task_transforms=[
            l2l.data.transforms.FusedNWaysKShots(dataset, new_ways, 2 * shots, filter_labels=filter_labels),
            l2l.data.transforms.LoadData(dataset),
            # l2l.data.transforms.RemapLabels(dataset, shuffle=label_shuffle_per_task),
            l2l.data.transforms.RemapLabels(dataset, shuffle=True),
            # do not keep the original labels, use (0 ,..., n-1);
            # if shuffle=True, to shuffle labels at each task.
            l2l.data.transforms.ConsecutiveLabels(dataset),
            # re-order samples and make their original labels as (0 ,..., n-1).
        ], num_tasks=num_tasks)

FusedNWaysKShots is just an Efficient implementation of FilterLabels, NWays, and KShots. To avoid the above error, you can update your learn2learn package (>=0.1.5) or directly use the codes as follows.

tasks = l2l.data.TaskDataset(dataset, task_transforms=[
        l2l.data.transforms.NWays(dataset, new_ways),
        l2l.data.transforms.KShots(dataset, 2 * shots),
        l2l.data.transforms.FilterLabels(dataset, filter_labels),
        l2l.data.transforms.LoadData(dataset),
        l2l.data.transforms.RemapLabels(dataset),
        l2l.data.transforms.ConsecutiveLabels(dataset),
    ], num_tasks=num_tasks)

For more details, you can refer to my blog: 初探元学习库learn2learn or the official documents of learn2learn.

GOOD LUCK to you guys.