GitHub - TezRomacH/layer-to-layer-pytorch: PyTorch implementation of L2L execution algorithm

GitHub - TezRomacH/layer-to-layer-pytorch: PyTorch implementation of L2L execution algorithm

PyTorch implementation of L2L execution algorithm. Contribute to TezRomacH/layer-to-layer-pytorch development by creating an account on GitHub.

4 mentions: @tez_romach@alxndrkalinin@PapersTrending@PapersTrending
Keywords: pytorch
Date: 2020/09/15 20:22

Referring Tweets

@tez_romach Good news for @PyTorch fans. I implemented this execution algorithm. Check it out here: t.co/3sn14oNbTY t.co/5Tzee9f8bk
@PapersTrending [8/10] 📈 - Training Large Neural Networks with Constant Memory using a New Execution Algorithm - 42 ⭐ - 📄 t.co/PX7qQhvoVY - 🔗 t.co/htg2YdaPmQ
@alxndrkalinin #PyTorch implementation of L2L from the paper "Training Large Neural Networks with Constant Memory using a New Execution Algorithm" t.co/Mg3hDdII5P L2L allows running a gigantic 384-layer BERT on a single GPU with only 3.69GB of RAM t.co/nDcgKswDYa
@PapersTrending [9/10] 📈 - Training Large Neural Networks with Constant Memory using a New Execution Algorithm - 37 ⭐ - 📄 t.co/PX7qQhvoVY - 🔗 t.co/htg2YdaPmQ

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