Pre-Release v0.0.9.8

What's Changed

• Various bug fixes and improvements in the transpiler
• feat: Implement LabelEncoder methods and add fit method test by @muzakkirhussain011 in #28702
• fix: CI integration tests by @Sam-Armstrong in #28802
• fix: resolve failing test cases for torch.linalg.norm by @adity1729 in #28805
• Update compiler.py 802c8e2 by @Sam-Armstrong in #28807
• add supported frameworks to readme by @Sam-Armstrong in #28808
• update discord and github refs by @Sam-Armstrong in #28809
• run integration tests outside of docker to prevent 'no space left on device' by @Sam-Armstrong in #28810
• fix: torch frontend bernoulli functions and methods by @Sam-Armstrong in #28815
• Update compiler.py f76f151 by @Sam-Armstrong in #28817
• update license by @Sam-Armstrong in #28816
• Update compiler.py 4920372 by @Sam-Armstrong in #28819
• add workflow to auto assign pull requests by @Sam-Armstrong in #28821
• Update compiler.py 46eda10 by @Sam-Armstrong in #28822
• fix: tf backend get_item and add set_item by @Sam-Armstrong in #28823
• simplify requirements.txt by @Sam-Armstrong in #28824
• feat: add syncing models utility to ivy by @YushaArif99 in #28818

New Contributors

• @adity1729 made their first contribution in #28805

Full Changelog: 0.0.9.7...0.0.9.8

Pre-Release v0.0.9.7

What's Changed

• ivy.transpile now uses the source-to-source transpiler
• ivy.graph_transpile now refers to the graph-based transpiler
• various fixes in the source-to-source transpiler

Full Changelog: 0.0.9.6...0.0.9.7

Pre-Release v0.0.9.6

What's Changed

• Fix graph caching in ivy.trace_graph and ivy.transpile
• Add ivy.clear_graph_cache

Full Changelog: 0.0.9.5...0.0.9.6

Pre-Release v0.0.9.5

What's Changed

• Fix ivy.source_to_source
• Unpin TensorFlow version from 2.15.1 (add support for Keras 3)
• CI cleanup by @Sam-Armstrong in #28787
• add torch frontend masked_scatter and masked_scatter_ by @Daniel4078 in #28783
• feat: add unpackbits to jax frontend by @SiLyGoose in #22629
• feat: Added frontend implementation of scatter_nd for tensorflow. by @RummanAli in #26335
• refactor(ivy.linear): remove unneeded list() by @lucasalavapena in #26566
• feat: Add stateful layer for idct by @Azanul in #26500
• feat: add erfc to torch frontend by @G544 in #26991
• Added float_power method in Torch Tensor classs by @ChibuezeOnejeme in #27026
• feat(torch_frontend): added fill_diagonal_ method by @Mac16661 in #27166
• fix(torch-frontend): fix failing test for torch.nn.functional.pad by @AbdullahSabry in #27206
• Close #27289 by @jyjoshi in #27290
• feat: Implemented jax-numpy-unwrap and associated tests by @rohitkg83 in #27050
• feat: Add cov to the paddle frontend by @mtnvdsk in #28603
• feat: Paddle Frontend implemented special method div by @Mac16661 in #27360
• feat: Reformatted the container_types function in the jax backend by @edielam in #26193
• I added structural similarity index (SSIM) loss. by @hi-sushanta in #27134
• Added Wasserstein Loss, the Most Popular Loss Function for GANs by @hi-sushanta in #27207
• fix(torch-frontend): fix test_torch_max_pool2d by @nicolasb0 in #28790
• unpin tensorflow version by @Sam-Armstrong in #28792
• Update compiler.py ed41787 by @Sam-Armstrong in #28793

New Contributors

• @SiLyGoose made their first contribution in #22629
• @Azanul made their first contribution in #26500
• @ChibuezeOnejeme made their first contribution in #27026
• @mtnvdsk made their first contribution in #28603
• @edielam made their first contribution in #26193
• @hi-sushanta made their first contribution in #27134

Full Changelog: 0.0.9.4...0.0.9.5

Pre-Release v0.0.9.4

What's Changed

• Bug fixes in the tracer/transpiler relating to kornia integration testing

Pre-Release v0.0.9.3

What's Changed

• Various bug fixes in the transpiler
• Update README.md by @hmahmood24 in #28779
• Fix torch linalg cholesky_ex by @Daniel4078 in #28773
• feat: integration tests workflow by @Sam-Armstrong in #28781
• fix: change lint workflow to automatically commit linting by @Sam-Armstrong in #28782
• add torch.tensor.masked_select by @Daniel4078 in #28780
• Update compiler.py ae11009 by @Sam-Armstrong in #28784

Full Changelog: 0.0.9.2...0.0.9.3

Test Release v0.0.9.2

What's Changed

• add ivy.source_to_source, which can be used with a valid ivy api key
• fix torch frontend blas_and_lapack_ops cholesky by @Daniel4078 in #28767
• add integration testing by @Sam-Armstrong in #28768
• Update URL references following the organization name change by @YushaArif99 in #28774
• Update URL references following the organization name change (2.0) by @YushaArif99 in #28775
• (fix)(scripts): fixed the failing relevant_tests workflow due to a bug in the run_tests_from_diff.py file. by @YushaArif99 in #28776
• fix: tracing ivy.set_item with Ellipsis/unbound slices by @Sam-Armstrong in #28771
• Update compiler.py 8a734de by @Sam-Armstrong in #28778

Full Changelog: 0.0.9.1...0.0.9.2

Test Release v0.0.9.1

What's Changed

• fix: fixed the count_non zero at tf frontend by @samthakur587 in #28590
• fix: fixed reciprocal_no_nan at tf frontend by @samthakur587 in #28592
• fix: fixed real at tf frontend by @samthakur587 in #28594
• Fix Frontend Failing Test: for all frontends- logic.paddle.is_empty by @ZJay07 in #28536
• Fix the test failure for paddle - math.paddle.prod by @Omickeyee in #28567
• fix: fixed frontend function torch.mean for all backends by @ZenithFlux in #28568
• Fix Frontend Failing Test: paddle, jax, torch, tensorflow - creation.paddle.triu by @ZJay07 in #28579
• fix: fixed frontend test for torch.Tensor.repeat by @ZenithFlux in #28583
• Fix Frontend Failing Test: jax, torch, paddle and tensorflow - creation.paddle.tril by @ZJay07 in #28596
• fix: fixed softplus at tf frontend by @samthakur587 in #28609
• fix: fixed frontend test test_torch_unfold for paddle backend by @ZenithFlux in #28601
• feat: Add Hamming loss function to sklearn metrics in Ivy frontends by @muzakkirhussain011 in #28616
• feat: Adding the numel, __getnewargs__ and __concat__ methods to the Shape class by @fnhirwa in #28618
• Fixed creation.paddle.assign for all frontends by @ZJay07 in #28614
• Fix Frontend Failing Test: paddle - search.paddle.index_sample by @ZJay07 in #28625
• fix: torch backend- gather fix by @Kacper-W-Kozdon in #27757
• feat: Add frontend jax.numpy.fft.ifftn by @Medo072 in #28550
• Fix Frontend Failing Test: tensorflow, jax, torch, numpy - search.paddle.argsort by @ZJay07 in #28623
• Fix Frontend Failing Test: torch, tensorflow, paddle,numpy - activations.tensorflow.keras.activations.relu by @ZJay07 in #28629
• fixed tesorflow.keras.activations.get by @ZJay07 in #28637
• fix: fixed numpy.ptp for all backends by @ZenithFlux in #28643
• Fix Frontend Failing Test: paddle - tensor.torch.Tensor.fix by @ZJay07 in #28611
• fix: fixed test_torch___getitem__ for paddle backend by @ZenithFlux in #28631
• fixed tensorflow.math.softplus by @ZJay07 in #28466
• Fix Frontend Failing Test: jax, numpy, torch, tensorflow, paddle - averages_and_variances.numpy.average by @ZJay07 in #28651
• Fix Frontend Failing Test: torch - linalg.paddle.cross by @ZJay07 in #28653
• Fix Frontend Failing Test: paddle - tensor.torch.Tensor.tril by @ZJay07 in #28662
• Fix Frontend Failing Test: paddle - mathematical_functions.jax.numpy.logaddexp by @ZJay07 in #28680
• Fix Frontend Failing Test: for all frontend- linalg.jax.lax.linalg.qr by @ZJay07 in #28673
• Fix Frontend Failing Test: paddle - mathematical_functions.jax.numpy.sinc by @ZJay07 in #28675
• feat: one_hot function of paddlepaddle by @SamruddhiNavale in #24153
• fix: skip tensorflow.zeros tests for Paddle backend with ndim >= 10 by @akshatvishu in #23156
• Fix Frontend Failing Test: torch, paddle, numpy, tensorflow - activations.tensorflow.keras.activations.deserialize by @ZJay07 in #28689
• Fix Frontend Failing Test: paddle - creation.jax.numpy.triu by @ZJay07 in #28706
• docs: fix typos in ivy/data_classes/array/layers.py by @shresthasurav in #27189
• Fix Frontend Failing Test: paddle - math.paddle.diff by @ZJay07 in #28497
• Fix Frontend Failing Test: jax, numpy, torch - math.tensorflow.math.reduce_prod by @ZJay07 in #28542
• Fix Frontend Failing Test: all frontends- general_functions.tensorflow.rank by @ZJay07 in #28698
• Fix Frontend Failing Test: all frontends - general_functions.tensorflow.one_hot by @ZJay07 in #28699
• Fix Frontend Failing Test: paddle - comparison.numpy.greater_equal by @ZJay07 in #28701
• Fix Frontend Failing Test: paddle - creation.jax.numpy.identity by @ZJay07 in #28709
• fix: for tf.function compatibility in tf backend by @mattbarrett98 in #28665
• feat: Added flatten and to_tensors methods to the Shape class refering to tf.TensorShape class by @fnhirwa in #28661
• feat: Updated versions of all the pre-commit hooks by @Sai-Suraj-27 in #28730
• fix: Frontend Failing Test: torch - reduction_ops.torch.mean by @Kacper-W-Kozdon in #28278
• Fix Frontend Failing Test: paddle - comparison_ops.torch.equal by @ZJay07 in #28726
• Fix Frontend Failing Test: paddle - logic.paddle.equal_all by @ZJay07 in #28716
• Fix Frontend Failing Test: paddle - creation.jax.numpy.size by @ZJay07 in #28711
• Fix Frontend Failing Test: paddle - general_functions.tensorflow.clip_by_value by @ZJay07 in #28668
• fix: torch frontend item() working with tf.function by @mattbarrett98 in #28729
• feat: implemented ifftshift and corresponding test by @VaishnaviMudaliar in #28707
• fix: torch backend mean reverted to work with keepdim, out args, as well as dtype by @mattbarrett98 in #28742
• fix: dont use dynamic shape when no backend is set to prevent recursion error by @mattbarrett98 in #28743
• fix: torch.masked_fill by @Kacper-W-Kozdon in #28740
• Fix Frontend Failing Test: paddle - operators.jax.lax.ne by @ZJay07 in #28728
• Fix Frontend Failing Test: torch - math.paddle.stanh by @ZJay07 in #28493
• CI Streamlining Refactor by @Sam-Armstrong in #28748
• fix: CI tests by @Sam-Armstrong in #28749
• feat: new Test Dashboard workflow by @Sam-Armstrong in #28750
• fix: Dockerfile build job by @Sam-Armstrong in #28756
• fix: lint and improve lint workflow by @Sam-Armstrong in #28757
• fix: fixed test_numpy_mean for all backends by @ZenithFlux in #28755
• fix: test dashboard links by @Sam-Armstrong in #28758
• fix: update dockerhub references to transpileai by @Sam-Armstrong in #28759
• fix: doc building pipeline by @Sam-Armstrong in #28760
• fix: update refs + remove docs release publishing by @Sam-Armstrong in #28761
• Update compiler.py 78e5a95 by @Sam-Armstrong in #28762

New Contributors

• @Omickeyee made their first contribution in #28567
• @SamruddhiNavale made their first contribution in #24153
• @shresthasurav made their first contribution in #27189

Full Changelog: 0.0.9.0...0.0.9.1

Test Release v0.0.9.0

What's Changed

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

Full Changelog: 0.0.8.0...0.0.9.0

Test Release v0.0.8.0

What's Changed

• fix: Fixed Frontend Failing Test: paddle - non_linear_activation_functions.torch.nn.functional.leaky_relu by @aibenStunner in #28392
• Fixed the tests failure: numpy - pooling_functions.torch.nn.functional.max_pool2d by @Msahoo876 in #28401
• fix: Removed un-necessary workflows by @Sai-Suraj-27 in #28449
• feat: Updated Ruff to the latest version and fixed lint failure by @Sai-Suraj-27 in #28463
• fix: Frontend Failing Test: torch.linalg.matrix_rank by @ZenithFlux in #28390
• fix: torch frontend max/min to support dim and keepdim as arg or kwarg by @Sam-Armstrong in #28469
• feat(frontends): Implemented numpy fftn with tests by @AwkNinja in #26917
• feat: gradient numpy frontend by @sineha17 in #23104
• fix: use primary get_item implementation for 1d tensor queries with tf, and added a test for partial_mixed_handler to check for this by @mattbarrett98 in #28456
• fix: setting torch frontend tensor 'data' attribute by @Sam-Armstrong in #28473
• fix: torch.Tensor.to frontend failing with certain arg/kwarg combinations by @Sam-Armstrong in #28477
• fix: remove unnecessary dim expansion from ivy.interpolate by @Sam-Armstrong in #28484
• feat: Implement precision_score function and test aligned with sklearn metrics by @muzakkirhussain011 in #28407
• fix: updated ivy.Shape, added interpolate with the paddle backend and updated expand by @vedpatwardhan in #28471
• fix: fixing the tests for ivy.Shape method by @fnhirwa in #28470
• fix: Fixed paddle.math.floor for jax, torch, and tensorflow backends by @Sai-Suraj-27 in #28420
• fix: Docstring Edits by @Adlai-1 in #28424
• feat(backends): Added a primary implementation for flatten in tensorflow backend by @hmahmood24 in #28488
• fix: torch frontend max pooling to support optional batch dim by @Sam-Armstrong in #28490
• fix: tf backend unflatten not supporting dim size inference by @Sam-Armstrong in #28496
• feat: added more runners for the pre-release workflow to run tests for all priority functions by @vedpatwardhan in #28498
• fix(get-item): Use dynamic shape rather than static (x.shape) when possible in _parse_query by @hmahmood24 in #28489
• Update compiler.py 32c4e44 by @vedpatwardhan in #28499

New Contributors

• @Msahoo876 made their first contribution in #28401
• @ZenithFlux made their first contribution in #28390
• @sineha17 made their first contribution in #23104

Full Changelog: 0.0.7.5...0.0.8.0