WebMay 26, 2024 · Hello, First of all thanks for making this this great package available. I have a sparse QP problem with with n~5000 variables. Is there anyway to speed up the CvxpyLayer initialization? right now, initialization takes over 10 minutes (until stopped, did not finish). WebMar 25, 2024 · Is there any plan on making cvxpylayers compatible with the tf graph? I am guessing it would be pretty interesting for hybrid models which feature both cvxpylayers's layers and regular tf.keras's layers.
cvxpylayers/prof.py at master · cvxgrp/cvxpylayers · GitHub
WebCurrent Solution. Duplicate all of the work, re-implementing the entire library or creating similar variants in multiple frameworks independently. For example, Lucid → Lucent , Speech Commands → Honk , torchvision → flaxvision , Graph Nets → Jraph , TensorFlow Probability → Distrax and Sonnet → Haiku. WebMay 15, 2024 · cvxgrp / cvxpylayers Public Notifications Fork 119 Star 1.4k Code Issues 36 Pull requests 4 Actions Projects Security Insights New issue Incompatible with tf.function (Tensor object has no attribute 'numpy') #56 Closed jcrichard opened this issue on May 15, 2024 · 4 comments commented on May 15, 2024 on May 20, 2024 on May 20, 2024 sql where文 複数条件
cvxpylayers · PyPI
WebOct 27, 2024 · cvxpylayers is a Python library for constructing differentiable convex optimization layers in PyTorch and TensorFlow. A convex optimization layer solves a … WebDec 10, 2024 · 1. I'm trying to solve a SOCP problem using cvxpy and integrating it to cvxpylayers. I'm looking at this SOCP problem ( problem 11) ( here is the scihub link in case you can't access), and here is a … WebOct 28, 2024 · cvxpylayers is a Python library for constructing differentiable convexoptimization layers in PyTorch and TensorFlow using CVXPY.A convex optimization layer solves a parametrized convex optimization … sherlock dialogues