1. A batch processing method in computing where the size or composition of data groups is determined at runtime based on system conditions, resource availability, or data characteristics rather than being fixed in advance.
The system uses dynamic batching to optimize GPU utilization by adjusting batch sizes based on available memory.
O sistema utiliza lotes dinâmicos para otimizar a utilização da GPU ajustando os tamanhos dos lotes com base na memória disponível.
2. In machine learning and neural networks, a technique where training data batches are formed adaptively during the learning process to improve model convergence and efficiency.
Dynamic batching improved the training speed of our neural network model by 30 percent.
O lote dinâmico melhorou a velocidade de treinamento do nosso modelo de rede neural em 30 por cento.