PennyLane is compatible with JAX 0.4.28 #6255
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…aN to np.nan" This reverts commit b3ab335. Reverting changes from numpy formating and NAN
revert changes from numpy printing settings
attempt to use the legacy printing option
…o compatible-np-2.0
…nd suggestion from code reviw
…o compatible-np-2.0
…o compatible-np-2.0
…2-install set to true
…o compatible-np-2.0
…o compatible-np-2.0
…ion/test_optimization_utils.py`
… is already in `setup.py`
…o compatible-np-2.0
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #6255 +/- ##
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- Coverage 99.58% 99.57% -0.01%
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Files 443 444 +1
Lines 42273 42336 +63
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+ Hits 42096 42158 +62
- Misses 177 178 +1 ☔ View full report in Codecov by Sentry. |
dwierichs
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Sep 17, 2024
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LGTM, thanks @PietropaoloFrisoni 🎉
Just wanted to ask about documenting the change and potentially adapting requirements files to the new supported JAX version?
mudit2812
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Sep 18, 2024
**Context:** As part of the effort to make PL compatible with Numpy 2.0 (see #6061), we need to upgrade JAX to 0.4.26+ since such a version introduced the support for Numpy 2.0. We opted for JAX 0.4.28 since it is the same version used by Catalyst. **Description of the Change:** As above. **Benefits:** PL is compatible with Numpy 2.0 and Jax 0.4.28. **Possible Drawbacks:** - From JAX 0.4.27, in `jax.jit`, passing invalid static_argnums or static_argnames now leads to an error rather than a warning. In PL, this breaks every test where we set `shots` in the `QNode` call with `static_argnames=["shots"]`. At this stage, we decided to mark such tests with `pytest.xfail` to allow the upgrade. **Related GitHub Issues:** None. **Related Shortcut Stories**: [sc-61389] --------- Co-authored-by: dwierichs <david.wierichs@xanadu.ai>
mudit2812
pushed a commit
that referenced
this pull request
Sep 23, 2024
**Context:** As part of the effort to make PL compatible with Numpy 2.0 (see #6061), we need to upgrade JAX to 0.4.26+ since such a version introduced the support for Numpy 2.0. We opted for JAX 0.4.28 since it is the same version used by Catalyst. **Description of the Change:** As above. **Benefits:** PL is compatible with Numpy 2.0 and Jax 0.4.28. **Possible Drawbacks:** - From JAX 0.4.27, in `jax.jit`, passing invalid static_argnums or static_argnames now leads to an error rather than a warning. In PL, this breaks every test where we set `shots` in the `QNode` call with `static_argnames=["shots"]`. At this stage, we decided to mark such tests with `pytest.xfail` to allow the upgrade. **Related GitHub Issues:** None. **Related Shortcut Stories**: [sc-61389] --------- Co-authored-by: dwierichs <david.wierichs@xanadu.ai>
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Context: As part of the effort to make PL compatible with Numpy 2.0 (see #6061), we need to upgrade JAX to 0.4.26+ since such a version introduced the support for Numpy 2.0. We opted for JAX 0.4.28 since it is the same version used by Catalyst.
Description of the Change: As above.
Benefits: PL is compatible with Numpy 2.0 and Jax 0.4.28.
Possible Drawbacks:
jax.jit, passing invalid static_argnums or static_argnames now leads to an error rather than a warning. In PL, this breaks every test where we setshotsin theQNodecall withstatic_argnames=["shots"]. At this stage, we decided to mark such tests withpytest.xfailto allow the upgrade.Related GitHub Issues: None.
Related Shortcut Stories: [sc-61389]