Note: diffeqr::diffeqgpu_setup can take awhile to run the first time as it installs the drivers! Now we simply use EnsembleGPUKernel(degpu$CUDABackend()) with a GPU-specialized ODE solver GPUTsit5() to solve 10,000 ODEs on the GPU in parallel: sol <- de$solve(ensembleprob,degpu...
Note: from diffeqpy import cuda can take awhile to run the first time as it installs the drivers!Now we simply use EnsembleGPUKernel(cuda.CUDABackend()) with a GPU-specialized ODE solver cuda.GPUTsit5() to solve 10,000 ODEs on the GPU in parallel:sol = de.solve(ensembleprob,cuda....
This branch is1 commit ahead of,43 commits behindrtqichen/torchdiffeq:master. README MIT license This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through all solvers is supported using the adjoint method. For usage of ODE solvers in deep lea...
Both of these APIs now have compatibility layers, so existing code should continue to work. However, they will now emit deprecation warnings, and users are encouraged to upgrade. These APIs may be removed at a later date. diffeqsolve(..., discrete_terminating_event=...), along with the c...
eq_design.py Adjust filter design for scattering matrix Feb 21, 2024 inference.m Correct SCAT absorption filter May 14, 2024 losses.py First commit Feb 15, 2024 model.py Add option for transpose TF May 14, 2024 rir_analysis.py Add edc param estimation code May 15, 2024 ...