0.0.7.3
版本发布时间: 2024-02-28 21:09:51
ivy-llc/ivy最新发布版本:0.0.9.8(2024-09-25 10:47:40)
What's Changed
- fix: remove numpy use from tf backend split by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28377
- fix: remove numpy use from tf bincount backend by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28378
- fix: fixing the tests for the Shape
__ge__
method by @fnhirwa in https://github.com/unifyai/ivy/pull/28384 - feat: Updated autoflake version by @Sai-Suraj-27 in https://github.com/unifyai/ivy/pull/28386
- feat: add tf ResourceVariable to frontend by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28393
- fix: fixed the hypothisis requirement error by @samthakur587 in https://github.com/unifyai/ivy/pull/28412
- Fix Ivy Failing Test: tensorflow - elementwise.pow by @MuhammadNizamani in https://github.com/unifyai/ivy/pull/28153
- fix: Fixed
ivy.zero_pad
for paddle backend by @Vismay-dev in https://github.com/unifyai/ivy/pull/27994 - fix: Fix
ivy.permute_dims
for all backends by @Vismay-dev in https://github.com/unifyai/ivy/pull/28009 - fix: ivy elementwise not_equal for paddle backend by @ksheroz in https://github.com/unifyai/ivy/pull/28249
- fix: Fix Ivy Failing Test: numpy - manipulation.reshape by @sgalpha01 in https://github.com/unifyai/ivy/pull/28016
- fix: Fix Ivy Failing Test: all backends - manipulation.squeeze by @sgalpha01 in https://github.com/unifyai/ivy/pull/28035
- fix: Fix Ivy Failing Test: [jax,numpy,torch] - general.get_item by @sgalpha01 in https://github.com/unifyai/ivy/pull/28049
- Fix Frontend Failing Test: torch - linalg.torch.linalg.norm by @shruzki in https://github.com/unifyai/ivy/pull/28106
- fix: Fix Frontend Failing Test: torch - tensor.torch.Tensor.gt (#28219) by @jacksondm33 in https://github.com/unifyai/ivy/pull/28221
- fix ivy creation.asarray for torch and tensorflow backend by @fleventy-5 in https://github.com/unifyai/ivy/pull/28226
- fix Ivy Failing Test: paddle - activations.softmax by @fleventy-5 in https://github.com/unifyai/ivy/pull/28241
- fix Ivy Failing Test: paddle - elementwise.equal by @fleventy-5 in https://github.com/unifyai/ivy/pull/28243
- Fixed Ivy Frontend Test: numpy - linalg.scipy.linalg.norm by @rp097 in https://github.com/unifyai/ivy/pull/28244
- fix creation_ops.torch.full for paddle frontend by @fleventy-5 in https://github.com/unifyai/ivy/pull/28267
- Fixed failing tests for torch - linalg.vector_norm by @BilgehanMehmet in https://github.com/unifyai/ivy/pull/28273
- Add recall_score function in Ivy with Test by @muzakkirhussain011 in https://github.com/unifyai/ivy/pull/27986
- feat: Paddle Frontend implemented special method mod by @druvdub in https://github.com/unifyai/ivy/pull/28245
- fix: fixed cummin not passing test at some backend by @samthakur587 in https://github.com/unifyai/ivy/pull/28400
- fix: removed code modifying ndarray/torch tensor methods (caused an issue with torch.compile recognising dunder methods). but added the same functionality using
__torch_function__
/__array_ufunc__
which are the proper mechanisms to enable this behaviour. also simplified the test by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28394 - fix: Fixed Frontend Failing Test: paddle - tensor.torch.Tensor.repeat by @aibenStunner in https://github.com/unifyai/ivy/pull/28324
- fix: Fixed
tf.math.zero_fraction
for jax backend by @Sai-Suraj-27 in https://github.com/unifyai/ivy/pull/28356 - feat(jax-backend) - Implementing native jax while loop in
nms
body by @mobley-trent in https://github.com/unifyai/ivy/pull/28274 - fix: Fixed
ivy.argsort
for jax backend by @Sai-Suraj-27 in https://github.com/unifyai/ivy/pull/28422 - fix: Variable frontend methods setting ivy_array to frontend tensor by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28423
- fix: undocumented args for torch frontend- added
axis
support forstack
, andvalue
support forscatter_
+ extended tests by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28252 - fix: fixed the maximum at tensorflow frontend by @samthakur587 in https://github.com/unifyai/ivy/pull/28375
- fix: added a check for when the dtype argument is None in check_unsupported_dtype by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28434
- fix: fixed the
less_equal
to support the complex dtype by @samthakur587 in https://github.com/unifyai/ivy/pull/28429 - Update meta.py<_train_tasks_batched by @MahadShahid8 in https://github.com/unifyai/ivy/pull/22628
- fix: dealing with boolean arrays with tuple query in ivy.get_item by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28435
- fix: removed the jax.config import from the ivy_tests init as it's deprecated in the recent release by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28444
- feat: added the test_trace_each flag to the tests to also have tracer tests that trace each example separately by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28436
- fix: fixed the IvyValueError not import error by @samthakur587 in https://github.com/unifyai/ivy/pull/28441
- fix: fixed logical_and not passing tests at paddle backend by @samthakur587 in https://github.com/unifyai/ivy/pull/28433
- Update compiler.py ccb0a3d by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28450
New Contributors
- @rp097 made their first contribution in https://github.com/unifyai/ivy/pull/28244
- @BilgehanMehmet made their first contribution in https://github.com/unifyai/ivy/pull/28273
- @druvdub made their first contribution in https://github.com/unifyai/ivy/pull/28245
Full Changelog: https://github.com/unifyai/ivy/compare/0.0.7.2...0.0.7.3