Searching
- Forward-mode Automatic Differentiation (Beta)...lass:: sphx-glr-example-title .. _sphx_glr_intermediate_forward_ad_usage.py: Forward-mode Automatic Differentiation (Beta) ============================================= This tutorial demonstrates how to use forward-mode AD to compute di...
- Using the PyTorch C++ Frontend...e-block:: cpp torch::optim::Adam generator_optimizer( generator->parameters(), torch::optim::AdamOptions(2e-4).betas(std::make_tuple(0.5, 0.5))); torch::optim::Adam discriminator_optimizer( discriminator->parameters(), torc...
- Computation times<!DOCTYPE html> <html> <head> <meta http-equiv="Content-type" content="text/html; charset=utf-8"> <meta http-equiv="Content-Security-Policy" content="default-src 'none'; style-src 'unsafe-inline'; img-src data:; connect-src 'self'...
