点击上方“Deephub Imba”,关注公众号,好文章不错过 !单机 PyTorch 模型跑推理没什么问题，但数据量一旦上到万级、百万级，瓶颈就暴露出来了：内存不够、GPU 利用率低、I/O ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !深度学习模型参数量和训练数据集的爆炸式增长，以 Llama 3.1 为例：4050 亿参数、15.6 万亿 token 的训练量，如果仅靠单 GPU可能需要数百年才能跑完，或者根本无法加载模型。并行计算（Parallelism）通过将训练任务分发到多个 ...

Learning how to create a PyTorch multi-class classifier usually can't be done in a strictly sequential manner. Based on my experience, most people need to use a spiral approach where they examine an ...

Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

PyTorch is definitely the flavor of the moment, especially with the recent 1.3 and 1.4 releases bringing a host of performance improvements and more developer-friendly support for mobile platforms.