Vahid Tavanashad

out of bound inputs for `uint8` and `uint16` data types

1

The following cases behave differently in `dpctl` and `NumPy`. ``` import dpctl,dpctl.tensor as dpt, numpy # uint8, with floating point input >>> a=numpy.array(60025, dtype=numpy.float32) >>> a.astype(numpy.uint8) array(121, dtype=uint8) >>> a=dpt.asarray(60025,...

update OneMKL `gemm_batch` call inside `dpnp.matmul` and column_major version of `gemm`

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In this PR, `oneapi::mkl::blas::column_major::gemm` and `oneapi::mkl::blas::column_major::gemm_batch` are added to be used in `dpnp.matmul` when the base of input arrays is f-contiguous. In addition, the `gemm_batch` is updated to improve the...

Repeated indices in `axes` keyword are ignored while the transform over the repeated axis should be performed multiple times. Result from stock `NumPy` ``` # Name Version Build Channel #...

update tests for `dpnp.fft.irfft` and `dpnp.fft.hfft`

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In this PR, tests for `dpnp.fft.irfft` and `dpnp.fft.hfft` (which calls back `dpnp.fft.irfft`) are updated to make sure input array is Hermitian. This means that for 1-D array 0th element of...

Implementation of `dpnp.fft.fft2`, `dpnp.fft.ifft2`, `dpnp.fft.fftn`, `dpnp.fft.ifftn`

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In this PR, `dpnp.fft.fft2`, `dpnp.fft.ifft2`, `dpnp.fft.fftn`, `dpnp.fft.ifftn` are implemented. - [x] Have you provided a meaningful PR description? - [x] Have you added a test, reproducer or referred to issue...

update clang-format version

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The PR proposes to update clang-format version. There is a hard dependency to run the check with `clang-format-15`, since [it is the latest version available for Ubuntu 22.04](https://packages.ubuntu.com/search?keywords=clang-format#:~:text=Package%20clang%2Dformat%2D15) ([at the...

DOC: update ``np.unique`` docstring

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There was a typo in doc string, `::` should be used instead of `:` for updates related to a specific version otherwise it is not shown in the documentation. In...

BUG: repeated axis is ignored in real FFT

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### Describe the issue: As shown in the example below when there is repeated axis in `axes` keyword of `numpy.fft.rfftn` it is not handled correctly. ### Reproduce the code example:...

Following example returns an error ```Python # Name Version Build Channel # ──────────────────────────────────────────────────── # numpy 1.26.4 py311h689b997_3 intel # numpy-base 1.26.4 py311h913173e_3 intel # mkl_fft 1.3.8 py311h977b55c_72 intel import numpy...

For the following case, when input arrays data type is `float`, correct result is returned while for `integer` data type, result is incorrect. ```Python import numpy, mkl_fft from numpy.testing import...