Comments (2)
Hey there! Unfortunately this isn't supported -- it'd require a fairly tricky rewrite of some internals: #140 (comment)
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Thanks for clearing that up!
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Related Issues (20)
- Incompatibility with flax.linen.tabulate HOT 4
- Unions not working HOT 4
- jaxtyping with JAX severely slowing down training speed HOT 6
- `install_import_hook` skip `no_type_check` HOT 1
- add type annotation for jaxtyped HOT 1
- Installing `jaxtyping` makes Pytest slow(er) HOT 3
- Leading integer and ellipses in pytree raises error HOT 2
- `mypy` gives error for `np.ndarray` as container type HOT 3
- Misleading exception when runtime type checker is used directly HOT 4
- Creating instances of `jaxtyped` dataclasses is slow HOT 5
- Inconsistent shape checking for lists of tensors HOT 2
- issue with torch.compile HOT 4
- Is it possible to use `AbstractDtype` to support syntax of not `Float[Array, "dim1 dim2"]` but instead `FloatArr["dim1 dim2"]`? HOT 1
- AbstractDType Example HOT 4
- Is it possible for method annotation of an eqx.Module to pick up instance field annotations? HOT 7
- Batched pytree dataclasses HOT 5
- Static typing issues with ndarray HOT 5
- feature request - benchmark using https://github.com/RightTyper/RightTyper - would be helpful @onefact ! HOT 2
- Broken link HOT 2
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