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

Test Release v0.0.7.5

What's Changed

• fix: fixed ivy.equal for paddle backend support all dtype by @samthakur587 in #28426
• remove to_list call in ivy's get item by @Ishticode in #28453
• fix: fixed the ivy.not_equal at paddle backend by @samthakur587 in #28431
• feat(docs/api-standards): fix placeholders in api_standards.rst by @shephinphilip in #23404
• Add dropout function for MindSpore Frontend by @savita921 in #21362
• fix: correct tensorflow avg pool2d test failure by @adityadeshmukh369 in #26116
• feat: Add negative_ method to PyTorch frontend by @daspartho in #23766
• fix: added max_pool2d accessible through the root namespace of the torch frontend and updated the condition to work when stride = [] by @vedpatwardhan in #28457

New Contributors

• @shephinphilip made their first contribution in #23404
• @savita921 made their first contribution in #21362
• @daspartho made their first contribution in #23766

Full Changelog: 0.0.7.4...0.0.7.5

Test Release v0.0.7.4

What's Changed

• fix: support 4d input for torch max_pool3d frontend by @Sam-Armstrong in #28451
• fix: added the missing init files to the tensorflow frontend to get them uploaded to pypi by @vedpatwardhan in #28452

Full Changelog: 0.0.7.3...0.0.7.4

Test Release v0.0.7.3

What's Changed

• fix: remove numpy use from tf backend split by @Sam-Armstrong in #28377
• fix: remove numpy use from tf bincount backend by @Sam-Armstrong in #28378
• fix: fixing the tests for the Shape __ge__ method by @fnhirwa in #28384
• feat: Updated autoflake version by @Sai-Suraj-27 in #28386
• feat: add tf ResourceVariable to frontend by @Sam-Armstrong in #28393
• fix: fixed the hypothisis requirement error by @samthakur587 in #28412
• Fix Ivy Failing Test: tensorflow - elementwise.pow by @MuhammadNizamani in #28153
• fix: Fixed ivy.zero_pad for paddle backend by @Vismay-dev in #27994
• fix: Fix ivy.permute_dims for all backends by @Vismay-dev in #28009
• fix: ivy elementwise not_equal for paddle backend by @ksheroz in #28249
• fix: Fix Ivy Failing Test: numpy - manipulation.reshape by @sgalpha01 in #28016
• fix: Fix Ivy Failing Test: all backends - manipulation.squeeze by @sgalpha01 in #28035
• fix: Fix Ivy Failing Test: [jax,numpy,torch] - general.get_item by @sgalpha01 in #28049
• Fix Frontend Failing Test: torch - linalg.torch.linalg.norm by @shruzki in #28106
• fix: Fix Frontend Failing Test: torch - tensor.torch.Tensor.gt (#28219) by @jacksondm33 in #28221
• fix ivy creation.asarray for torch and tensorflow backend by @fleventy-5 in #28226
• fix Ivy Failing Test: paddle - activations.softmax by @fleventy-5 in #28241
• fix Ivy Failing Test: paddle - elementwise.equal by @fleventy-5 in #28243
• Fixed Ivy Frontend Test: numpy - linalg.scipy.linalg.norm by @rp097 in #28244
• fix creation_ops.torch.full for paddle frontend by @fleventy-5 in #28267
• Fixed failing tests for torch - linalg.vector_norm by @BilgehanMehmet in #28273
• Add recall_score function in Ivy with Test by @muzakkirhussain011 in #27986
• feat: Paddle Frontend implemented special method mod by @druvdub in #28245
• fix: fixed cummin not passing test at some backend by @samthakur587 in #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 #28394
• fix: Fixed Frontend Failing Test: paddle - tensor.torch.Tensor.repeat by @aibenStunner in #28324
• fix: Fixed tf.math.zero_fraction for jax backend by @Sai-Suraj-27 in #28356
• feat(jax-backend) - Implementing native jax while loop in nms body by @mobley-trent in #28274
• fix: Fixed ivy.argsort for jax backend by @Sai-Suraj-27 in #28422
• fix: Variable frontend methods setting ivy_array to frontend tensor by @Sam-Armstrong in #28423
• fix: undocumented args for torch frontend- added axis support for stack, and value support for scatter_ + extended tests by @mattbarrett98 in #28252
• fix: fixed the maximum at tensorflow frontend by @samthakur587 in #28375
• fix: added a check for when the dtype argument is None in check_unsupported_dtype by @vedpatwardhan in #28434
• fix: fixed the less_equal to support the complex dtype by @samthakur587 in #28429
• Update meta.py<_train_tasks_batched by @MahadShahid8 in #22628
• fix: dealing with boolean arrays with tuple query in ivy.get_item by @vedpatwardhan in #28435
• fix: removed the jax.config import from the ivy_tests init as it's deprecated in the recent release by @vedpatwardhan in #28444
• feat: added the test_trace_each flag to the tests to also have tracer tests that trace each example separately by @vedpatwardhan in #28436
• fix: fixed the IvyValueError not import error by @samthakur587 in #28441
• fix: fixed logical_and not passing tests at paddle backend by @samthakur587 in #28433
• Update compiler.py ccb0a3d by @vedpatwardhan in #28450

New Contributors

• @rp097 made their first contribution in #28244
• @BilgehanMehmet made their first contribution in #28273
• @druvdub made their first contribution in #28245

Full Changelog: 0.0.7.2...0.0.7.3

Test Release v0.0.7.2

What's Changed

• fix: fixed argmax for ivy functional api by @samthakur587 in #28329
• fix: Ivy Failing Test: paddle - manipulation.expand_dims by @MuhammadNizamani in #28309
• fix: Fixed tf.math.argmax for all backends by @Sai-Suraj-27 in #28347
• fix: fixed the complex dtype support for ivy.maximum at paddle backend by @samthakur587 in #28353
• fix: ensure all lstm weights are contiguous, so they will work on gpu by @Sam-Armstrong in #28358
• fix: fixing tests for Shape __mul__ and __rmul__ methods by @fnhirwa in #28337
• fix: improved fix for making lstm weights contiguous by @Sam-Armstrong in #28368
• fix: fixed lint error in adaptive_max_pool3d in layer by @samthakur587 in #28367
• fix: fixed the docstring test for ivy.hardsilu by @samthakur587 in #28370
• fix: minimum for complex dtype by @samthakur587 in #28364
• fix: Ivy Failing Test: paddle - manipulation.permute_dims by @MuhammadNizamani in #28310
• fix: Frontend Failing Test: torch - linalg.torch.linalg.matrix_norm by @Kacper-W-Kozdon in #28323
• fix: fixed the minimum at tf frontend by @samthakur587 in #28373
• Update compiler.py eadf392 by @vaatsalya123 in #28376

Full Changelog: 0.0.7.1...0.0.7.2

Test Release v0.0.7.1

What's Changed

• fix: Fixed tensorflow.math.is_strictly_increasing for all backends by @Sai-Suraj-27 in #28336
• fix: Fixed paddle.take_along_axis for all backends by @Sai-Suraj-27 in #28321
• fix compositonal get_item removing to_numpy and scalar calls while keeping it general enough by @Ishticode in #28077
• fix: Fixed tf.math.argmin for torch, jax, and paddle backends by @Sai-Suraj-27 in #28342
• fix: fixed the relu6 for complex dtype by @samthakur587 in #28326
• fix: Ivy Failing Test: paddle - activations.relu for all backend by @fleventy-5 in #28233
• Update compiler.py 04244f0 by @vedpatwardhan in #28351

Full Changelog: 0.0.7.0...0.0.7.1

Test Release v0.0.7.0

What's Changed

• fix: Fixed ivy.fix for paddle backend by @Sai-Suraj-27 in #27988
• fix: fixed ivy.cumsum tests at all backend by @samthakur587 in #27974
• fix: fixed ivy.minimum tests not passing at tensorflow paddle backend by @samthakur587 in #27963
• fix: fixed floor_divide tests not passing at paddle backend by @samthakur587 in #27960
• fix: fixed tests not passing at paddle backend by @samthakur587 in #27958
• fix: fixed unsupported complex dtype at jax and torch backend by @samthakur587 in #27948
• fix: edited the x1 multiple check at complex dtype by @samthakur587 in #27939
• feat: added unflatten frontend and backend support by @Kacper-W-Kozdon in #27416
• FIX! Fix Ivy Failing Test: paddle - elementwise.not_equal by @MuhammadNizamani in #28000
• feat: added an example for using the profiler in utils by @vedpatwardhan in #28004
• fix: Fixed Frontend Failing Test: paddle - tensor.paddle.Tensor.any by @Sai-Suraj-27 in #27992
• fix: Updated the OpenSSL download link in Using venv section of Setting Up by @sgalpha01 in #27954
• refactor: Removed Optional typehint when the default value of an argument is non-None value by @Sai-Suraj-27 in #28034
• fix: Fixed inconsistent naming of some tests by @Sai-Suraj-27 in #28028
• fix: Fixed creation ivy.zeros_like failing test for all backends by @Vismay-dev in #28032
• fix: Fixed ivy.remainder() function call which contains wrong argument by @Sai-Suraj-27 in #28045
• feat: Updated black formatter version and modified all the files according to it by @Sai-Suraj-27 in #28040
• fix: fixed sigmoid test function by adding atol and rtol to support f… by @samthakur587 in #28093
• fix: fix the tests on bool dtype by @samthakur587 in #28092
• fix: Fixed paddle backend for comparison_ops.torch.equal and raw_ops.tensorflow.raw_ops.Equal by @Sai-Suraj-27 in #28096
• fix: Fixed attribute.paddle.real for all the backends by @Sai-Suraj-27 in #28103
• fix: Fixed math.paddle.pow for paddle backend by @Sai-Suraj-27 in #28091
• fix: Fixed creation.paddle.eye for all backends by @Sai-Suraj-27 in #28068
• fix: fixed cumprod not support bool dtype by @samthakur587 in #28059
• fix: Fix Ivy Failing Test: torch - manipulation.reshape by @sgalpha01 in #28018
• Fix! Fix Ivy Failing Test: paddle jax tensoflow- general.inplace_update by @MuhammadNizamani in #28022
• fix: implement torch frontend eq, and remove it as alias for `equal… by @mattbarrett98 in #28121
• fix: Fixed paddle_backend.divide by @Sai-Suraj-27 in #28063
• fix: fixed fmod at paddle backend by @samthakur587 in #28124
• fix: fixed rad2deg for all the backend by @samthakur587 in #28131
• feat: added a workflow to be able to trigger all or priority failing tests in the CI, given that tests don't get triggered intelligently at times by @vedpatwardhan in #28134
• fix: added the tensorflow backend implementation for bernoulli and fixed the backend implementations for the other backends regarding default shape and default dtype by @vedpatwardhan in #28139
• feat: superset ivy.lstm so it can be used equivalently to tf.keras.layers.lstm by @Sam-Armstrong in #28140
• fix: Fixed stat.paddle.mean for all backends by @Sai-Suraj-27 in #28087
• fix: Fixed the lint warnings, failures and Updated black version by @Sai-Suraj-27 in #28141
• fix: fixed paddle_backend.greater and paddle_backend.greater_equal by @Sai-Suraj-27 in #28111
• fix: fixed paddle_backend.less and paddle_backend.less_equal by @Sai-Suraj-27 in #28109
• fix: fixed the failing test case at paddle backend by @samthakur587 in #27831
• Cov by @samthakur587 in #22811
• Fix: Fix Ivy Failing Test: paddle - manipulation.concat by @MuhammadNizamani in #28003
• FIX! Fix Ivy Failing Test: torch - searching.argmax by @MuhammadNizamani in #28117
• feat: change ivy.lstm to always return sequences and states by @Sam-Armstrong in #28155
• fix: fixed fmax at paddle frontend dtype problem by @samthakur587 in #28149
• fix: fixed fmin at paddle frontend facing unsupported dtype error by @samthakur587 in #28148
• feat: added the erfinv function to ivy's experimental API by @vedpatwardhan in #28159
• feat: added Ivy.unflatten by @Kacper-W-Kozdon in #28079
• fix: Fix Ivy Failing Test: torch - elementwise.deg2rad by @MuhammadNizamani in #28171
• fix: Fix Ivy Failing Test: numpy - manipulation.swapaxes by @sgalpha01 in #28042
• fix: Fix Ivy Failing Test: paddle - elementwise.divide by @MuhammadNizamani in #28074
• fix: Fixed paddle_backend.divide by adding an if condition to separate dtypes by @Sai-Suraj-27 in #28191
• FIX! Fix Ivy Failing Test: paddle - elementwise.allclose by @MuhammadNizamani in #28166
• fix: Fixed failing docstring tests by @Sai-Suraj-27 in #28172
• fix: fixed the inefficiency when using ivy.conv_general_dilated in a depthwise manner, replaced the loop by using tf.nn.depthwise_conv2d by @vedpatwardhan in #28208
• fix: Fixing pytest discovery issues by @Vismay-dev in #28158
• feat: Add tensorflow GatherNd raw_ops by @TalhaKhalil in #27745
• Revert "feat: Add tensorflow GatherNd raw_ops" by @NripeshN in #28210
• fix: broadcasting issue in compositional set_item by @mattbarrett98 in #28181
• fix: Fix Ivy Failing Test: paddle - elementwise.multiply by @sgalpha01 in #28056
• fix: allow torch backend split to infer final split size by @Sam-Armstrong in #28230
• Fix the reduce method for Ivy Shape by @Dsantra92 in #28212
• fix: Shape.__bool__ method tests by @fnhirwa in #28218
• Revert "fix: Shape.__bool__ method tests" by @fnhirwa in #28231
• fix: use of ivy.Shape in conditions by @mattbarrett98 in #28224
• Fix Frontend Failing Test: torch - miscellaneous_ops.torch.clone by @fleventy-5 in #28202
• add reduce method to IvyGlobalProps by @Dsantra92 in #28234
• fix: Ivy Failing Test: paddle - creation.ones_like by @MuhammadNizamani in #28188
• feat: Updated jax version mapping from 0.4.23 to 0.4.24 by @Sai-Suraj-27 in #28237
• feat: Updated torch version mapping form 2.1.2 to 2.2 by @Sai-Suraj-27 in #28236
• fix: changed docstring by @Adlai-1 in #28201
• feat: Updated ruff configuration and it's pre-commit version according to the latest release by @Sai-Suraj-27 in #28247
• fix: Fixed triggering of workflows due to labeling of the PR's by @Sai-Suraj-27 in #28250
• fix: fixing tests for Shape __add__ and __radd__ methods by @fnhirwa in #28263
• feat: Add tensorflow Gather nd raw ops by @TalhaKhalil in #28211
• fix: Fixed paddle_backend.i0 by @Sai-Suraj-27 in #28184
• fix: Fixed paddle_backend.copysign by @Sai-Suraj-27 in #28178
• fix: Fixed paddle_backend.signbit by @Sai-Suraj-27 in #28180
• feat: Updated black formatter to latest version and modified files accordingly by @Sai-Suraj-27 in #28282
• feat: Added a decorator function, which will be used to test explicit examples by @Sai-Suraj-27 in #28251
• fix: Frontend Failing Test: torch - tensor.torch.Tensor.unique by @ogbanugot in #28283
• fix: array_indices_axis helper updated to use args to control vals from dtypes_and_values helper by @Kacper-W-Kozdon in #28168
• fix: handling of None in torch frontend pad + extended test by @m...

Test Release v0.0.6.2

Full Changelog: 0.0.6.1...0.0.6.2

Test Release v0.0.6.1

fix: added wrappers.json to the MANIFEST.in