A class that keeps all conversation history.

Processes an answer similar to Eval AI copied from https://github.com/facebookresearch/mmf/blob/c46b3b3391275b4181567db80943473a8

Normlize image by given mean and std.

Prepare sample for usage as network input.

Resize sample to given size (width, height).

Crop sample for batch-wise training. Image is of shape CxHxW

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).

Residual convolution module.

Residual convolution module.

Fake file-like stream object that redirects writes to a logger instance.

Collate examples for supervised fine-tuning.

Feature fusion block.

Feature fusion block.

Dataset for supervised fine-tuning.

r""" Sampler that samples indices in a way that groups together features of the dataset of roughly the same length while keeping a bit of rand

Normlize image by given mean and std.

Normlize image by given mean and std.

Prepare sample for usage as network input.

Prepare sample for usage as network input.

Resize sample to given size (width, height).

Resize sample to given size (width, height).

2D image to patch embedding: (B,C,H,W) -> (B,N,D) Args: img_size: Image size. patch_size: Patch token size. in_chans

2D image to patch embedding: (B,C,H,W) -> (B,N,D) Args: img_size: Image size. patch_size: Patch token size. in_chans

A dictionary of running averages.

A dictionary of running averages.

Different separator style.