Related Issues (20)
- Update xfail reason "Omnistaging can't be disabled" in JAX tests
- Missed scan rewrites
- CI is randomly skipping some jobs
- Add graph transformation to propagate new static shape info
- Error with Slogdet returning floats instead of arrays
- Consider using pr-labeler-action HOT 7
- Test issue
- Another test issue
- Get rid of pre-defined inplace Elemwise Operators?
- numba: Incorrect gradient and typing error
- Default typify in JITLinkers expects tensors/arrays, why?
- Torch: Investigate if `set_default_device/with_device` is a deal-breaker HOT 1
- Implement all Ops in PyTorch (help welcome!) HOT 7
- Update APIs to be compatible with NumPy 2.0 or pin NumPy to latest 1.x version HOT 1
- `tensor.where` does not behave like `np.where` when only one input (condition) is passed
- Default MvNormal covariance doesn't make sense HOT 2
- Allow specifying shape of dtyped tensor constructors
- AdvancedSubtensor1 and AdvancedIncSubtensor1 are not needed in JAX and Numba backends
- Allow sparse variables to have dummy dimensions to the left?
- Rewrite to remove useless Reshape
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