What's Changed

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

New Contributors

• @Msahoo876 made their first contribution in https://github.com/unifyai/ivy/pull/28401
• @ZenithFlux made their first contribution in https://github.com/unifyai/ivy/pull/28390
• @sineha17 made their first contribution in https://github.com/unifyai/ivy/pull/23104

Full Changelog: https://github.com/unifyai/ivy/compare/0.0.7.5...0.0.8.0