Comments (5)
Setting up travis-ci ended up being straightforward, there is now a compilation status badge on the main readme page.
I haven't set up anything to test PRs for now but I may add some bors hooks for this at some point.
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What is the preference for the CI system? Azure pipelines seems interesting and can support all major platforms in one solution.
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Very good point, I certainly have this on my radar. I was thinking on using travis-ci as it interacts well with github. Hopefully I'll go over this in the next few days (I'm not familiar at all with azure but if it's easy to setup with github I'm happy to give it a try too).
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I don't have any preference. Travis CI or AppVeyor are common in Rust projects. We can use the templates from trust for example.
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Great! Should be enough for now. bors is great :)
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Related Issues (20)
- pyo3 and windows 11: HOT 1
- Tried to register multiple backend fallbacks for the same dispatch key Conjugate HOT 1
- Is it possible to load weights from VarStore even after applying some operations?
- `try_from` ndarray to tensor using zero copy
- Workflows error when trying to build torch-sys without venv, "torch module not found" HOT 2
- Confusing warning emitted from `Tensor::scatter_reduce`.
- SDPA Flash kernel HOT 6
- when compile with tokenizers library , encounter static libcpmt.lib and dynamic msvcprt.lib conflict link error
- Load model once and run inference across threads?
- Build fails unless I downgrade `google-glog` to 0.6.0. HOT 5
- Copying Scalars from Torch to Rust? HOT 1
- Second-order utils ?
- Any plan on `at::Generator`?
- Could not be compliered. HOT 1
- Error with: Internal torch error: can't fopen
- concat doesn't support gradient HOT 1
- Double free or corruption (fasttop) HOT 1
- grads become zeros after a short period of training on metal backend
- Can we `.set_retains_grad(true)` ?
- model in rust, optimizer.step in python
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