PyTorch reproduction of TensorFlow paper underperforms by 4 pp on DermaMNIST , w

<!-- SC_OFF --><div class="md"><p>I’m a PhD student working in AI/computer vision, and I’ve hit a frustrating wall with a project.</p> <p>My supervisor asked me to improve the

<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>Seeing a ~170× slowdown running a point-tracking model on an NVIDIA T4 compared to an A100. On A100 the tracker takes ~0.5

<!-- SC_OFF --><div class="md"><p>DeepSeek dropped the full V4 paper this week. preview from april was 58 pages, this version adds a lot of technical depth.</p> <p>What stood out

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1t71y36/what_should_a_pytorch_training_endofrun/"> <img alt="What should a PyTorch training end-of-run