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OS version: macOS 10.13.6
Cuda version: 10.1
GPU: GTX 1060
`[1/893] Linking CXX shared library lib/libtorch_cpu.dylib
FAILED: lib/libtorch_cpu.dylib
: && /Library/Developer/CommandLineTools…
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Opening a new issue with a weird error I'm seeing when trying to use Enzyme. The output is:
```
JIT session error: In graph -jitted-objectbuffer, section __TEXT,__text: relocation target "l___unn…
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Hi community,
I am trying to include `Enzyme.jl` to [this benchmark](https://gist.github.com/ForceBru/63a08b62cb4bdf6a6d8bc23924929d48) which compares the speed of `ForwardDiff.jl`, `ReverseDiff.jl…
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I have existing code using autodiff v0.5.13 that I am migrating to v0.6.3 that uses both forward mode and reverse mode auto-differentiation in the same compilation unit.
In updating to the newer vers…
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A piece of my code uses Ferrari's method to solve for the roots of a quartic equation and then takes the difference between the roots. This code needs to be GPUized on my M1 mac, and so needs be type …
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Hi there,
Opening this issue to see whether I could get some help with making Reverse mode in autodiff work. I made it work on trivial examples, even containing conditional statements but for some …
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I'm looking to implement custom GPU ops similar to how tensorflow allows for defining custom jvps. Is there a similar tutorial/guide on how feasible this will be with jax?
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In `chirho.robust`, we're making extensive use of `torch.func`, especially the vectorization transform `torch.func.vmap` and forward and reverse-mode autodiff transforms `torch.func.jvp`/`vjp`.
Unf…
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Hi there,
I experience a problem with Enzyme interacting with Tullio. The MWE is the computation of the trace of the product with two matrices $tr(A*B)$. I wrote a method with loops and one using …
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This code produces a compilation error:
```
using Enzyme
using EnzymeCore
# Required presently
Enzyme.API.runtimeActivity!(true)
Enzyme.API.looseTypeAnalysis!(true)
Enzyme.API.maxtypeoffset!(20…
jlk9 updated
3 months ago