* fixes to dtype wrappers

* fix

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Co-authored-by: Rishabh Kumar <[email protected]>

)

* Add Discrete Fourier Transform functions to Numpy Frontend #1532 rfft #14406

* Delete layers.py

* resolve conflict

* Add Discrete Fourier Transform functions to Numpy Frontend after conflict resolve

* new line add

* resolve the conflict

* solve mistakes

* solve problems

* resolve errors

* Removed a modified file from pull request

* update files to remove error

* new line add

* Remove conflict

* update files to remove error

* new line add

* Remove conflict

* resolve the conflict

* solve mistakes

* test_discrete_fourier_transform.py revised

* Solving conflicts

* Solve conflict after merging

* change the dtype to numeric

* adding dft function

* making new changes

* fix the function spelling

* dtypes changed to real_and_complex

* remove *

* Files revised

* changes done

* apply changes

* made changes

* add changes

* apply changes

* apply changes

* apply changes

* make test include complex dtypes

* removed nteger_to_float

* more comprehensive norm testing

* Made test rigorous

* dft onsided=True need real input

* test passed

* added complex dtype to testing

Tests still passed, just more rigorous testing

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Co-authored-by: Ookamice <[email protected]>

Co-authored-by: hirwa-nshuti <[email protected]>

This partially solves the diagflat failing tests for the numpy frontend still exploring the issue with the numpy backend and unit tests for diagflat function

* Update test_jax_src_tree_util.py

* Update test_jax_src_tree_util.py

… a tuple

…gonal index previously and specified several unsupported types for paddle backend eye function

…and updated the tests

…ements in an array because x.size does not work with torch

…15447)

* fixes to dtype wrappers

* fix

* fixed dtype casting modes by adding support for containers

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Co-authored-by: Rishabh Kumar <[email protected]>

* added dictionary update to init files

* experiments

* lint changes

* lint changes

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Co-authored-by: Rishabh Kumar <[email protected]>

…ape, dtype mismatch and unsupported types. Extend the test to all numeric types

Added data_format parameter to batch_norm and instance_norm

Temporarily commented on the value test for lstsq unit test because the composition implementation is mathematically unstable and gives distinct results. will update once we have a stable version of this function on the API

…rsion (#15447)" (#15650)

This reverts commit 74d7059.

…rt or deprecations to any dtypes as seen in https://github.com/google/jax/blob/main/CHANGELOG.md

…added or deprecated in the framework as seen in the release notes https://numpy.org/doc/stable/release/1.24.0-notes.html

…ersion (2.12.0) for tensorflow backend as no dtype has been added or removed on framework level. Check release note https://github.com/tensorflow/tensorflow/releases

…on of 2.0.1 as no new dtype has been supported or removed support foron framework level. Check release notes https://github.com/pytorch/pytorch/releases

…r in any of the native backends ito dtype support

Co-authored by: nassimberrada

* Resetted the branch & Re-added the code

* Update devicearray.py

* Update test_jax_devicearray.py

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Co-authored-by: Fayad-Alman <[email protected]>