We can even combine data-parallelism and model-parallelism on a 2-dimensional mesh of processors. We split the batch along one dimension of the mesh, and the units in the hidden layer along the other dimension of the mesh, as below. In this case, the hidden layer is actually tiled betwee...
Megatron-DeepSpeed - DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others. torchtune - A Native-PyTorch Library for LLM Fine-tuning. veRL - veRL is a flexible and efficient RL fr...
SageMaker AI distributed data parallelism library Introduction to the SMDDP library Supported frameworks, AWS Regions, and instances types Distributed training with the SMDDP library Adapting your training script to use the SMDDP collective operations PyTorch PyTorch Lightning TensorFlow (deprecated) Launchin...
The best performance was achieved by leveraging SIMD instructions features of the CPU to improve parallelism available for Cortex-M4 and Cortex-M7 core microcontrollers although reference implementation for Cortex-M0 and Cortex-M3 is also available without DSP instructions. Run the model on the ...
Learning Resources Tutorial Videos Developer blogs Webinars Support Information TAO Toolkit Quick Start Guide Requirements Hardware Requirements Minimum System Configuration Recommended System Configuration Software Requirements Getting Started File Hierarchy and Overview Running TAO Toolkit Launcher CLI ...
In TAO 5.0.0, BYOM with TF1 (Classification and UNet) has been deprecated because the source code of TAO is now fully open-sourced. To use BYOM with TF1, you will need to continue using TAO 4.0.Classification TF2 still supports BYOM with the same workflow as TAO 4.0. If you wish ...
The change has been made at the interface level, which will hopefully soon become absorbed into mainstream Keras, and it's the Keras backends' job to detemine how to make multi-GPU data parallelism happen. That way one can have one abstraction that's stable, and can swap out the backends...
2019-09Megatron-LMNVIDIAMegatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism 2019-10T5GoogleExploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer 2019-10ZeROMicrosoftZeRO: Memory Optimizations Toward Training Trillion Parameter Models ...
A valid representation of model-parallelism strategies. A cost model that accurately predicts the running time of a strategy without launching expensive real trials. An automatic optimization procedure that uses the cost model and a dynamic programming algorithm to efficiently find fast strategies....
* `ncpu`(int): `4`(Default), set the number of threads used for CPU internal operation parallelism * `output_dir`(str): `None`(Default) If set, the output path of the output result * `batch_size`(int): `1`(Default), batch processing during decoding, number of samples * `hub`...