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Error with lower dimensional mappings within f
#125
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You are explicitly parametrizing the derivative (i.e. vector field) with your neural network, which has to have the same dimension as the state. |
I see. So assuming my neural network operates on a batch of 18-dimensional vectors, how would I plot the flows for this ode? Would I have to run t-SNE on each step of the trajectory to reduce to 2D vectors? |
nice,i have same problem, |
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I'm not sure if this is a bug, an error in my code, or by design, but my ODE errors out unless
input_dim == output_dim
at all steps within thef
function. For example, if I were to apply the layernn.Linear(18, 2)
, I would get the following error:This also happens if other dimensions change through pooling operations. I would appreciate any help in resolving this.
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