Trouble with PyTorch dynamic
4 posts from 2 people3d activeFading, +0 this week
Posts per day
The posts behind it
Modeling Market Microstructure as a Dynamic Particle System: Using Signed GNNs to Predict Liquidity Runs & Dynamic Take-Profits (Looking for DL/Quant Collaborator)
...of the time, and high-quality structural sweeps have clear directional bias.. The actual bottleneck / where I need help: My problem isn't generating the signals-it’s path prediction and dynamic target selection .. When a sweep happens, price is often trapped between an opposing...
Modeling Market Microstructure as a Dynamic Particle System: Using Signed GNNs to Predict Liquidity Runs & Dynamic Take-Profits (Looking for DL/Quant Collaborator) [p]
...of the time, and high-quality structural sweeps have clear directional bias.. The actual bottleneck / where I need help: My problem isn't generating the signals-it’s path prediction and dynamic target selection .. When a sweep happens, price is often trapped between an opposing...
DISABLED test_mutate_realized_buffer_in_make_fx_graph_case_foreach_reads_sibling_target_dynamic_shapes (__main__._cls)
Platforms: xpu This test was disabled because it is failing on main branch ([recent examples](https://github.com/pytorch/pytorch/actions/runs/37411490897/job/112106605789#step:13:4367)). cc @gujinghui @EikanWang @fengyuan14 @guangyey
DISABLED test_weight_norm_1d_and_reduced_dtypes_dynamic_shapes (__main__.DynamicShapes)
Platforms: xpu This test was disabled because it is failing on main branch ([recent examples](https://github.com/pytorch/pytorch/actions/runs/36653643191/job/109698932358#step:13:4757)). cc @mruberry @gujinghui @EikanWang @fengyuan14 @guangyey
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About this problem
Evidence
4 posts from 2 people in 3 places, about 1 a week over 31 days. Mostly on pytorch/pytorch, r/learnmachinelearning, r/MachineLearning. Tools named alongside: GitHub.
Frustration Frustration 0 of 3· Seen on GitHub issues, Reddit
How it was grouped
Posts about PyTorch with no known issue, sharing the word "dynamic". First post Sep 30, 2026, latest Oct 30, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
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History