[0.3.5] TensorNeko Release

Features:

• Add support for pytorch 2.1 and lightning 2.1
• Auto infer for notebook.display, now supports audio, video, image, and code.
• ListDataset, like TensorDataset in torch but directly uses list
• SequentialIterSampler, can split dataset to multiple epochs. Normally can be used for training in large-scale dataset but want to utilize the learning rate scheduler based on epochs.
• BinaryClassifier. A predefined model for binary classification.
• sample_indexes. Sample a continious indexes giving a source sequence length.

Fix:

• Import problem raise by RoundRobinDataset
• FID calculation problem when set num_workers > 0.
• iou_2d calculation error