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Is there any way to see what is inside a `var` or perhaps it's derivative? I keep getting zero for my `dud(x)` and I want to see what's inside. Any suggestions?
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Hello,
I am having problems when computing different Jacobians (using different sets of independent variables) from the same recording.
Consider the following code to be differentiated:
```
…
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[Cupy](http://github.com/cupy/cupy) is quite stable and efficient "numpy for GPU" (which has no restrictions mentioned in readme), chainer over cupy provides necessary audo-diff and primitives for dee…
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I am intermittently encountering the following error with DynamicHMC with the LBA:
`Reached maximum number of iterations while bisecting interval for ϵ`
Perhaps one solution is to increase the i…
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The imaginary components of the derivatives of the following complex-valued functions are always zero in jax. In contrast, tensorflow returns a non zero imaginary component. I think this is a bug on t…
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Is there a simple example of how to use jacrev and jacfwd? There's currently no useful docstring. Some usage details would be helpful.
For example:
(1) when calling grad(fun), does it differentiat…
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In porting the python bindings to pybind11, it became pretty clear that the API could use some cleanup. A few issues that I'd like to address:
- [ ] replace "inverseKinSimple" and the like with lam…
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DiffEq's first PDE attempt (which started the package) was a failure. The issue was that it was tied directly to an FEM subpackage I made internally, but then it couldn't scale to all of the problems …
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Hi,
I am convinced that we should go to 2nd order methods, those which actively repel saddles like SFN, but it seems they are not used (?) nearly 5 years after the paper.
Do you maybe know what is t…