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If I have an ODE function for example like this:
``` python
class ODE(object):
def __init__(self, k1, k2):
self.k1, self.k2 = k1, k2
def __call__(self, y, t):
d_1 = -…
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Hi, I am currently working with the `torchdyn` package and I am getting an error that I cannot really explain:
```
File "/home/maxh/miniconda3/envs/deepqmc/lib/python3.8/site-packages/torch/auto…
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Will `diffrax.diffeqsolve` work inside a Flax linen Module? How would you set up the initialization to use Flax inside of `ODETerm` instead of Equinox?
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Hi, I got an error when trying to add a function to the chain, and was wondering if there is any way to solve it. The code is following:
```Julia
using DiffEqFlux, OrdinaryDiffEq, Flux
#Prepare tru…
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Basic inspiration: neuralODE is NOT explicitly mini-batch aware. you can kludge it right now, but this kludge won't scale because it's not mini-batch aware. SO introduce mini-batch smartness into n…
cems2 updated
4 years ago
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Hi there,
While reading the code, I found out that the file `gru_ode_models` is missing. It is referenced in NeuralODE model file.
Could you please upload the file?
Thanks!
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First of all, thank you for this amazing library!
For my own research, I want to test implicit integrators with adjoint sensitivity method to train a neural network. While implicit Euler method pro…
cyx96 updated
2 years ago
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Hi,
when running
```julia
struct NeuralODE{M gdev
u0 = Float32[0.0, 8.0, 0.0, 12.0] |> gdev
tspan = (0.0f0, 365.0f0)
neural_ode = NeuralODE(nn; solver=Tsit5(), tspan = tspan, sensealg=Inte…
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https://arxiv.org/abs/2002.08071
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Hi Patrick,
I am using the diffrax ode solver in my code and will need to use batchnorm/dropout layers in the function that will be passed to the solver. However this is the error I am getting:
…