0.0.9.0
版本发布时间: 2024-03-15 19:43:59
ivy-llc/ivy最新发布版本:0.0.9.8(2024-09-25 10:47:40)
What's Changed
- fix: torch frontend allowing negative padding values by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28501
- fix: ensure consant values are correct dtype in tf pad backend by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28502
- fix: enabled the casting modes to type cast bools to ints when bool isn't supported by a function by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28503
- fix: ensure traced function return is turned to ivy arrays by @Ishticode in https://github.com/unifyai/ivy/pull/28494
- fix: add unsupported dtypes to some tf backend fns by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28504
- fix: tf backend range supporting float args with int dtype by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28507
- fix: Ivy Failing Test: paddle - sorting.msort by @MuhammadNizamani in https://github.com/unifyai/ivy/pull/28460
- fix: Ivy Failing Test: paddle - searching.where by @MuhammadNizamani in https://github.com/unifyai/ivy/pull/28410
- fix: tf.function working with set item by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28481
- Fixed test for test_paddle_softplus by @ZJay07 in https://github.com/unifyai/ivy/pull/28476
- fixed test: tensor.math.less by @ZJay07 in https://github.com/unifyai/ivy/pull/28468
- fix: support return_indices=True in torch max_pool2d frontend by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28537
- fix: remove incorrect unsupported dtype decorator from tf backend reshape by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28538
- fix: remove key error in jax frontend tests by @Ishticode in https://github.com/unifyai/ivy/pull/28513
- fix: Fixed
pointwise_ops.torch.real
for paddle backend by @Sai-Suraj-27 in https://github.com/unifyai/ivy/pull/28115 - Fix Frontend Failing Test: numpy - tensor.paddle.Tensor.mean by @ZJay07 in https://github.com/unifyai/ivy/pull/28486
- feat: Integrate F1 score function to frontend, align with sklearn met… by @muzakkirhussain011 in https://github.com/unifyai/ivy/pull/28487
- fix(paddle_test): fixed dtype errors in
manipulation.paddle.tile
by @alt-shreya in https://github.com/unifyai/ivy/pull/28478 - fix: fixed the logical_not not support the bfloat16 by @samthakur587 in https://github.com/unifyai/ivy/pull/28455
- fix: fixed some failures in the README by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28548
- fix: paddle backend scatter_nd indices error and test by @Sam-Armstrong in https://github.com/unifyai/ivy/pull/28552
- fix: added cuda installation to the GPU dockerfile for paddlepaddle to work in the image by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28554
- fix: added the missing tee command to record the logs of the tests that were run during the pre-release workflow by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28555
- fix: for jax backend type hint,
NativeArray
shouldn't be a tuple by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28543 - fix: downgraded tensorflow to 2.15.1 in the GPU docker image as 2.16.1 can't detect a GPU by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28578
- fix: numpy indexing in tf backend getitem by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28556
- fix: disable copy, out and inplace flags when trace testing by @Ishticode in https://github.com/unifyai/ivy/pull/28595
- Fixed paddle.math.heaviside for all frontends by @ZJay07 in https://github.com/unifyai/ivy/pull/28518
- Fixed math.paddle.conj for jax, numpy, tensorflow and torch by @ZJay07 in https://github.com/unifyai/ivy/pull/28512
- Fix Frontend Failing Test: all frontends- math.paddle.trunc by @ZJay07 in https://github.com/unifyai/ivy/pull/28506
- fix: haiku ivy module build working without needing backend set + extended test by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28586
- chore: removed the version hardcoding of ml-dtypes as tensorflow now works with the latest one by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28598
- fix: explicitly add haiku as target in demos, since flax is now used by default by @mattbarrett98 in https://github.com/unifyai/ivy/pull/28599
- docs: updated the README to make the page more compact and clear by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28597
- fix: fixed the logical_or at tf frontend by @samthakur587 in https://github.com/unifyai/ivy/pull/28585
- fix: fixed the greater_equal to tf frontend by @samthakur587 in https://github.com/unifyai/ivy/pull/28588
- fix: ivy.linalg.matrix_norm() for paddle backend by @Kacper-W-Kozdon in https://github.com/unifyai/ivy/pull/28500
- Update compiler.py 3c27196 by @vedpatwardhan in https://github.com/unifyai/ivy/pull/28612
Full Changelog: https://github.com/unifyai/ivy/compare/0.0.8.0...0.0.9.0