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

Test Release v0.0.6.0

What's Changed

• feat: Updated NumPy version from 1.26.2 to 1.26.3 by @Sai-Suraj-27 in #27834
• fix: Fixed passing of missing shape argument in 1 function call by @Sai-Suraj-27 in #27836
• fix: use plural reviewers actor type for Vaunt by @jeff1010322 in #27843
• updated traced_if_required for fixing test_trace exiting issue by @juliagsy in #27802
• feat(framework): add cython wrappers mode by @yopknopixx in #27770
• fix: fixed the failing test at paddle backend by @samthakur587 in #27827
• fix: fixed tests not passing on torch and jax backend by @samthakur587 in #27845
• fix: fixed tests not passing at jax backend by @samthakur587 in #27847
• fix: pre-commit docsformatting by @NripeshN in #27848
• fix: Fixed passing of wrong key-word argument dim in ivy.ifftn() function call. by @Sai-Suraj-27 in #27850
• fix: Fixed missing argument in ivy.inplace_update() function call by @Sai-Suraj-27 in #27808
• fix: Fixed passing of missing backend argument in few function calls by @Sai-Suraj-27 in #27809
• feat(ci): integrated tracer tests as a cron job to store the results in a separate field in the database by @vedpatwardhan in #27872
• Fix ivy.floor by @samthakur587 in #27855
• fix: reduced the limit of tests in a tracer cron job to 20, prevented the script from recording transpilation metrics in a tracer cron job and added that cmdline argument by @vedpatwardhan in #27883
• fix: Fixed passing of un-necessary argument dtype by @Sai-Suraj-27 in #27880
• fix: Fixed passing of wrong key-word argument dim in ivy.ifftn() function call. by @Sai-Suraj-27 in #27885
• fix: fixed relu6 supported dtypes by @samthakur587 in #27874
• index_add by @imsoumya18 in #26394
• feat: Added one of the isort rule/check to ruff by @Sai-Suraj-27 in #27825
• fix: torch frontend Tensor.bool now returning bools, Tensor.type_as returning new tensor instead of operating inplace and fixed signature for unique_consecutive by @mattbarrett98 in #27887
• fix:fixed silu activation at tensorflow and torch backend by @samthakur587 in #27889
• feat: handle case for float values with int dtype specified in tf backend by @Ishticode in #27890
• fix: updated torch.unique frontend to return a tuple just like the torch.unique function instead of a named tuple by @vedpatwardhan in #27893
• fix: Fixed using of deprecated logging.warn() method by @Sai-Suraj-27 in #27882
• feat: add bessel_i1 to tensorflow frontend by @ivankot88 in #26468
• fix: ivy rnn and while_loop changes to fix lstm transpilations by @Sam-Armstrong in #27878
• feat: Updated ruff and black pre-commit hook versions by @Sai-Suraj-27 in #27894
• fix: fixed ivy elu activation function by @samthakur587 in #27876
• fix: Fixed passing of un-necessary device argument in ivy.blackman_window() by @Sai-Suraj-27 in #27897
• refactor: Removed un-necessary global declaration for avg variable by @Sai-Suraj-27 in #27899
• fix: tf backend getitem condition handling the case of no arrays in the query. and tf backend add working with bool inputs by @mattbarrett98 in #27900
• fix(torch frontend): unique fixed to return tuple, not named tuple. added Tensor.mH. empty working with scalar tensor inputs. equal changed to use array ops. by @mattbarrett98 in #27901
• fix jax backend set item with scalar values by @mattbarrett98 in #27886
• fix: Fixed passing of arguments to ivy.polyval() function call by @Sai-Suraj-27 in #27905
• Volunteer program and github badges by @NripeshN in #27891
• fix: Fixed passing of ceil_mode key-word argument in ivy.avg_pool2d() function call by @Sai-Suraj-27 in #27852
• feat: add more details to the volunteer pipeline by @NripeshN in #27910
• fix: Fixed the link to github_rewards in docs by @Sai-Suraj-27 in #27912
• fix: Fixed using of deprecated inspect.getargspec() function by @Sai-Suraj-27 in #27907
• fix torch.lstm frontend tests by @Sam-Armstrong in #27916
• fix: reset broadcasting issues in jax backend setitem by @Ishticode in #27909
• fix(docs): updated the contributor guide by @vedpatwardhan in #27920
• refactor: Added raise from clause to exceptions for improved tracebacks by @Sai-Suraj-27 in #27918
• Remove award by @NripeshN in #27923
• fix: expand when shape is longer than the input's shape by @mattbarrett98 in #27913
• feat: Added more checks to ruff by @Sai-Suraj-27 in #27919
• feat: add ivy.lstm to functional api by @Sam-Armstrong in #27922
• fix: Fixed raising TypeError for invalid type by @Sai-Suraj-27 in #27928
• fix: Added missing assert to 3 comparison checks by @Sai-Suraj-27 in #27926
• fix tf get item with non 0 dim tensor queries by @mattbarrett98 in #27921
• fix: torch frontend expand working with scalar tensors in size. torch frontend rand/randn working with ivy shape inputs. tf reciprocal working with int inputs. by @mattbarrett98 in #27929
• fix: minor corrections to ivy.lstm by @Sam-Armstrong in #27933
• fix: Issue with unsupported dtypes by @vedpatwardhan in #27934
• fix: unsupported dtype at jax asinh by @samthakur587 in #27943
• fix: fixed the ivy.mean by @samthakur587 in #27903
• fix: added complex as unsupported dtype in asin by @samthakur587 in #27946
• FIX: fix error in elementwise.add by removing unsupported data int16 by @MuhammadNizamani in #27938
• fix: fixed the uint not supported by min by @samthakur587 in #27931
• feat: Updated paddle version mapping form 2.5.2 to 2.6.0 by @Sai-Suraj-27 in #27941
• fix: fix test_torch__getitem fixing the empty dim case in tf backend by @Ishticode in #27953
• index_add_ by @imsoumya18 in #26761
• fix: Updated WSL section of Setting Up by adding a code-snippet to install optional dependencies by @Sai-Suraj-27 in #27951
• fix: added native shape support to torch frontend methods by @vedpatwardhan in #27962
• feat: Added the profiling tools for Torch and TensorFlow by @saeedashrraf in #27976
• fix:fixed ivy.maximum tests for all backend by @samthakur587 in #27971
• fix: Fixed ivy.adjoint test for all backends by @Sai-Suraj-27 in #27984
• feat(stateful): Add NativeModule to all backends with the implementation of a custom tensorflow.keras.Model subclass for the tensorflow backend to follow ivy.Module's API by @hmahmood24 in #27955
• fix: Fixed raising of keyError() to properly include path_type in the error message by @Sai-Suraj-27 in #27965
• fix: fixed ivy.sum not passing the test case at paddle & torch backend by @samthakur587 in #27973
• Update compiler.py 47eda8e by @Dsantra92 in #27990

New Contributors

• @jeff1010322 made their first contribution in #27843
• @ivankot88 made their first contribution in #26468

Full Changelog: 0.0.5.1...0.0.6.0

Test Release v0.0.5.1

Update _version.py

Test Release v0.0.5.0

Update release.yml

Test Release v0.0.4.0

Update release.yml

Test Release v0.0.3.0

add numpy.asscalar() (#22947)

Test Release v0.0.2.0

remove duplicated adjust_brightness in paddle frontend (#22271)