Tensor operations over a batch use accelerator parallelism more efficiently than many tiny operations. Static batching waits for a fixed group, while dynamic approaches form batches from requests that arrive close together.
Batching groups multiple examples or requests so hardware processes them together.
Tensor operations over a batch use accelerator parallelism more efficiently than many tiny operations. Static batching waits for a fixed group, while dynamic approaches form batches from requests that arrive close together.