Reazul Hoque

Call @dppy.kernel from @dppy.kernel, @njit, @vectorize

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- [ ] Analyze the possibility and meaning of being able to call @dppy.kernel decorated functions from other @dppy.kernel, @njit, @vectorize decorated functions. - [ ] https://github.com/IntelPython/numba-dppy/issues/205 - [ ]...

with dpctl.device_context fails

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The following program: ``` import dpctl import numpy as np import dpnp with dpctl.device_context("opencl:gpu:0"): a = dpnp.arange(1021, dtype=np.int64) ``` Produces the following error: ``` DPNP: Module NumPy found. Please load...

How to test dpnp conda package

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When we have dpnp installed in a Conda environment, how can we test the package?

The following program is resulting in error: dpctl: [fd63a3e2b15942e0b93f98e7dbbb14ae49e5a724](https://github.com/IntelPython/dpctl/commit/fd63a3e2b15942e0b93f98e7dbbb14ae49e5a724) dpnp: [43a4b538722b26ca00b0a475e44a4a5f8376267c](https://github.com/IntelPython/dpnp/commit/43a4b538722b26ca00b0a475e44a4a5f8376267c) ``` import dpctl import dpnp with dpctl.device_context("level0:gpu:0"): gpu_result = dpnp.random.random_sample(9) with dpctl.device_context("opencl:gpu:0"): gpu_result = dpnp.random.random_sample(9) ``` This is the...

dpnp.linalg.cholesky gives incorrect result

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The following reproducer provides incorrect result ``` import dpnp as inp import numpy a = numpy.array([[1, -2], [2, 5]]) ia = inp.array(a) result = inp.linalg.cholesky(ia) expected = numpy.linalg.cholesky(a) print(result, expected)...

The following reproducer segfaults with dpnp 0.4.0 ``` import numpy as np import dpnp size = 3 type = np.int32 a = np.ones((size, size), dtype=type) symm_orig = np.tril(a) + np.tril(a,...