Comments (2)
I would like to take this on. It seems that it is possible to execute notebooks using the jupyter package. This would require adding jupyter as a requirement for testing, along with other packages that may be mentioned in the notebooks, e.g., mathplotlib. The test take about 10 seconds per notebook.
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It seems that maml.ipynb has failed at least once due to timeout.
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Related Issues (20)
- `jnp.vectorize` should support keyword arguments in `excluded`
- Cannot install recent version of Jax/Jaxlib on MacOS Sonoma HOT 22
- Asynchronous computation with multuple programs on multiple devices
- Default lowering pass for lu_p has accuracy issue. HOT 5
- minimize function from jax.scipy.optimize does not converge HOT 1
- Inhomogeneous Arrays in JAX
- efficient untrue batching of `random_bit_generator` HOT 1
- `Transpose rule for 'custom_vjp_call_jaxpr' not implemented` for `grad(custom_jvp(custom_vjp))`
- "NaNs Leakeage" - can not remove innconsistent NaN-grad elements HOT 4
- jnp.concatenate returns incorrect values for sharded arrays in chex multi-device CPU test environment
- Wrappers for`scipy.linalg`quadratic control solvers (lyapunov, ARE)
- [METAL] GPU Timeout error HOT 1
- Underscore in setup.py for extras_require is (probably) not supported by pip HOT 1
- regression on main: ModuleNotFoundError: No module named 'jaxlib.mlir.extras' HOT 1
- jax.lax.scan "tuple index out of range error" when using as described in docs HOT 1
- Mysterious crash on TPU pod HOT 6
- Unexpected Behavior with JIT Compilation and Indexing Operations in JAX
- cuBLAS and JAX version mismatch HOT 1
- jax.scipy.optimize.minimize ignores TOL setting HOT 2
- A possible side-effect from calling jax.Array.__str__ method? HOT 4
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