Comments (1)
rtqichen
commented on August 18, 2024
This is quite normal since such small problems aren't compute-bound. Perhaps a more thorough breakdown of the cost would be more meaningful, but the default solver is a sequence of many ops and control flow which can be slow for small or medium sized problems.
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Related Issues (20)
- learn_physics.py is very bad.
- code for reproducing Fig. 8
- Making forward function different than backward function
- reuse solver object
- Integrate Forced Andronov-Hopf Bifurcation HOT 3
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- Is func variable in odeint(func, y0, t) the derivative part of the ode?
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- Why odeint sometimes provides a wrong solution? HOT 5
- Non uniform time step in example/ode_demo.py
- runtime of ode_demo.py using adjoint vs. not using it HOT 1
- underflow in dt nan HOT 4
- Typo in paper (?) HOT 1
- How to pass extra paramaters of func to odeint？ HOT 2
- Bug: Memory Leaky with from torchdiffeq import odeint HOT 1
- Perform one integration step HOT 2
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from torchdiffeq.