Definition of a SubPolicy. A SubPolicy consists of two augmentation operations, each of those parametrized as operation, probability, magnitu

LayerNorm but with an optional bias. PyTorch doesn't support simply bias=False

Computes and stores the average and current value

Implements Adam algorithm with weight decay fix. Parameters: lr (float): learning rate. Default 1e-3. betas (tuple of 2 floats):

Each head is a self-attention operation. self-attention refers to https://arxiv.org/pdf/1706.03762.pdf

Multi-headed attention from 'Attention Is All You Need' paper

Bert Language model.

Handles all registered callbacks for YOLOv5 Hooks

GPT-2 Language model.

Class to calculate mean-iou using fast_hist method

Serializable data structure for holding data for blocks -- embeddings and necessary metadata for Retriever

Transformer class.

Feed Forward Layer.

BERT-based encoder for queries or contexts used for learned information retrieval.

Transformer layer mainly consists of two parts: multi-headed self-attention and feed forward layer.

Log training runs, datasets, models, and predictions to Weights & Biases. This logger sends information to W&B at wandb.ai. By default, this info

Transformer decoder consisting of *config.decoder_layers* layers. Each layer is a :class:`BartDecoderLayer` Args: config: BartConfig

This module learns positional embeddings up to a fixed maximum size.