The DeepSpeedInferenceConfig is used to control all aspects of initializing the InferenceEngine . The config should be passed as a dictionary to ...

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepSpeed provides a seamless inference mode for compatible transformer based models trained using DeepSpeed, Megatron, and HuggingFace.

30 авг. 2023 г. · DeepSpeed-Inference is a separate engine that introduces lots of optimizations for running inference. For example, we support custom kernel ...

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

DeepSpeed ZeRO-3 can be used for inference as well since it allows huge models to be loaded on multiple GPUs, which won't be possible on a single GPU.

E · elastic_checkpoint (deepspeed.runtime.zero.config. · enable_cuda_graph (deepspeed.inference.config.DeepSpeedInferenceConfig attribute) · enabled (deepspeed.

DeepSpeed, powered by Zero Redundancy Optimizer (ZeRO), is an optimization library for training and fitting very large models onto a GPU.

The purpose of this document is to guide Data Scientists to run inference on pre-trained PyTorch models using DeepSpeed with Intel® Gaudi® AI accelerator.

DeepSpeed inference supports fp32, fp16 and int8 parameters. The appropriate datatype can be set using dtype in init_inference , and DeepSpeed will choose the ...