**Hôm nay PyTorch 2.9 được trảả cristiana! Anhänger công cụ AI cách đây nổi bật tính năng mới nâng cao khả năng tính toán. Lên đường vào ứng dụng\\\**\n\n#PyTorch #AI #MachineLearning #PyTorch2.9 #TechNews**
https://www.reddit.com/r/programming/comments/1o7pi1a/pytorch_29_release_blog/
PyTorch 2.2 was released, now offers ~2x performance improvements to scaled_dot_product_attention via FlashAttention-v2 integration, as well as AOTInductor, a new ahead-of-time compilation and deployment tool built for non-python server-side deployments.
We are excited to announce the release of PyTorch® 2.2 (release note)! PyTorch 2.2 offers ~2x performance improvements to scaled_dot_product_attention via FlashAttention-v2 integration, as well as AOTInductor, a new ahead-of-time compilation and deployment tool built for non-python server-side deployments.
We have updated our #PyTorch benchmark blog article with new measurement data from the latest GPUs, both single- and multi-GPU.
Our Benchmark visualizes the performance comparison of the new #PyTorch2 with the well established PyTorch 1. The benchmarks cover different areas of #deeplearning, such as image classification and language models (#LLM). It is shown that PyTorch 2 generally outperforms PyTorch 1 and is scaling well on multiple GPUs.
https://www.aime.info/blog/en/pytorch-2-gpu-performace-benchmark-comparison/
A benchmark based performance comparison of the new PyTorch 2 with the well established PyTorch 1. The benchmarks cover different areas of deep learning, such as image classification and language models. It is shown that PyTorch 2 generally outperforms PyTorch 1 and is scaling well on multiple GPUs.
A performance comparison of the new #PyTorch2 with the well established #PyTorch 1.
The benchmarks cover different areas of #deeplearning, such as image classification (#resnet) and language models (#BERT).
A performance comparison of the new #PyTorch2 with the well established #PyTorch 1.
The benchmarks cover different areas of #deeplearning, such as image classification (#resnet) and language models (#BERT).
Dieser Benchmark-basierte Leistungsvergleich zwischen dem neuen PyTorch 2 mit der etablierten ersten Version deckt unter Einbeziehung von Bildklassifizierung und Sprachmodell verschiedene Bereiche des Deep Learning ab. Version 2 übertrifft die alte Version und skaliert gut auf mehreren GPUs.
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