#PyTorch2 - Twitter Hashtag

over 2 years ago

Well, this is exciting. 🎊 The @PyTorch 2 paper is out. 👀 Congrats #MarioLezcanoCasado, #PeterBell, #EvgeniBurovski, #MarcosYukioSiraichi, and the @Meta team for bringing it all together! ✨ #PyTorch #PyTorch2 #ASPLOS #DeepLearning https://t.co/C9ZtKpHkJA

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Quansight @quansightai

over 2 years ago

New post alert. 👀 Check out our recent enhancements to the torch.func module of the PyTorch codebase, as part of our ongoing collaboration with the @Meta team. 🔥 Read on. https://t.co/DeyTg5Sd1I… @Meta #PyTorch #PyTorch2 #DeepLearning #Meta #TorcFunc #PyTorch2

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Amir M. Mir

@amir_mir93

about 3 years ago

I'm quite impressed by how much speed-up PyTorch 2.0 and Lightning 2.0 brings in fine-tuning language models compared to v1.x. Training/inference speed has increased by up to 92% on an RTX 4090. Also, it consumes ~34% less GPU memory. #pytorch2 #speedup #LLM

amir_mir93's tweet photo. I'm quite impressed by how much speed-up PyTorch 2.0 and Lightning 2.0 brings in fine-tuning language models compared to v1.x.
Training/inference speed has increased by up to 92% on an RTX 4090. Also, it consumes ~34% less GPU memory.

#pytorch2 #speedup #LLM https://t.co/vSKOTvWyUj

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Mani Shemiranifar @mani_shemi

about 3 years ago

Adaptive Computation(AC) is a weird research topic(usually in practice). You are trying to increase efficiency by taking fewer computational steps or dropping tokens. However, due to the framework(#Jax, #Pytorch2) and hardware(#TPUs, #GPUs), it's not possible to halt/drop.

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AIME @aime_bird

about 3 years ago

A benchmark based 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). https://t.co/VNPHskYLc6

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ねこ太郎@ゲーム開発 @techbits21

about 3 years ago

ここ見ながら PyTorch 2.0適用いたしました。画像生成めっちゃ早くなった！ #AIart #AIイラスト #StableDiffusion #PyTorch2.0 https://t.co/8NORqeP6M6

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流浪猩红者

@hold_hopes

over 3 years ago

🚀 Just tested the new #PyTorch2 and I'm blown away by the speed improvements! 🌟 🕒 Single GPU 3090: PyTorch 1.13: 30min/epoch PyTorch 2.0: 23min/epoch (⚡️23% faster!) 🕒 8x A6000 GPU setup: PyTorch 1.13: 8min/epoch PyTorch 2.0: 5.8min/epoch (⚡️27% faster!) Big thanks @PyTorch

hold_hopes's tweet photo. 🚀 Just tested the new #PyTorch2 and I'm blown away by the speed improvements! 🌟
🕒 Single GPU 3090:
PyTorch 1.13: 30min/epoch
PyTorch 2.0: 23min/epoch (⚡️23% faster!)
🕒 8x A6000 GPU setup:
PyTorch 1.13: 8min/epoch
PyTorch 2.0: 5.8min/epoch (⚡️27% faster!)
Big thanks
@PyTorch https://t.co/qGdyuiDx2R

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BitsToGigs.com @BitsToGigs

over 3 years ago

PyTorch 2.0 is available. https://t.co/d4S9QUenQI… #PyTorch #PyTorch2

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VentureBeat

@VentureBeat

over 3 years ago

The new #PyTorch2.0 promises to accelerate #ML training and development, while being backward-compatible with existing @PyTorch code. See what's new: https://t.co/Bu41TqCt4U

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